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With the expansion of urbanization, the interaction between different hazards has become increasing evident. In order to promote sustainable development of urban areas, it is particularly important to systematically analyze and evaluate urban safety and security under the coupling effect of multi-hazard risks. In response to the practical needs of urban safety and security assessment practice, this paper constructs an application-oriented urban safety and security quantitative assessment methodology. First, following the comprehensive risk management perspective, the logical relationship between urban safety and security elements is analyzed. It proposes “comprehensive screening, key analysis, and comprehensive evaluation” as a new assessment concept. Second, a system of urban safety and security assessment methods consisting of a weighting method and a function model is constructed. The function model includes two sub-models: a quantitative risk assessment model that considers triggering effects and a quantitative assessment model of emergency capacity that considers the evolution of emergencies. Finally, the method was applied to a coastal urban area in south China. The case study proved that the proposed method system can not only effectively evaluate various disaster risks and emergency capacity but also provide evidence for the formulation and implementation of urban safety and security management measures.
Guohua Chen; Qin Yang; Xuexi Chen; Kongxing Huang; Tao Zeng; Zhi Yuan. Methodology of Urban Safety and Security Assessment Based on the Overall Risk Management Perspective. Sustainability 2021, 13, 6560 .
AMA StyleGuohua Chen, Qin Yang, Xuexi Chen, Kongxing Huang, Tao Zeng, Zhi Yuan. Methodology of Urban Safety and Security Assessment Based on the Overall Risk Management Perspective. Sustainability. 2021; 13 (12):6560.
Chicago/Turabian StyleGuohua Chen; Qin Yang; Xuexi Chen; Kongxing Huang; Tao Zeng; Zhi Yuan. 2021. "Methodology of Urban Safety and Security Assessment Based on the Overall Risk Management Perspective." Sustainability 13, no. 12: 6560.
In the vulnerability analysis, the correlations among failure modes have significant effects on the estimation of failure probabilities. However, the failure modes were assumed to be independent with each other or only parts of dependencies of failure modes were considered, which might lead to inaccurate results. In the present study, a novel methodology to clarify the entire logical relationship among failure modes and determine system probabilities is developed. Firstly, based on the form-changed limit state equations (LSEs) of failure modes, the LSE surfaces or curves are plotted. Subsequently, the logical relationship among failure modes can be identified with the LSE surfaces or curves. The system consequences are further developed by the logical relationship. Bayesian network (BN) is constructed with the input of logical relationship into arcs. With BN considering logical relationship, the occurrence probabilities of failure modes are calculated and system probabilities are estimated more accurately, which are verified well with Monte Carlo simulation and analytical solution. Furthermore, the detailed compositions of occurrence probabilities of failure modes are specified by the system probabilities. The methodology is illustrated by a case study. This study can be applied to the vulnerability analysis of various hazards or disasters as long as LSEs for corresponding failure modes can be developed.
Kun Hu; Guohua Chen; Rouzbeh Abbassi; Kongxing Huang; Zhihang Zhou; Tao Zeng. A methodology to clarify logical relationship among failure modes and determine system probabilities. Journal of Loss Prevention in the Process Industries 2021, 71, 104469 .
AMA StyleKun Hu, Guohua Chen, Rouzbeh Abbassi, Kongxing Huang, Zhihang Zhou, Tao Zeng. A methodology to clarify logical relationship among failure modes and determine system probabilities. Journal of Loss Prevention in the Process Industries. 2021; 71 ():104469.
Chicago/Turabian StyleKun Hu; Guohua Chen; Rouzbeh Abbassi; Kongxing Huang; Zhihang Zhou; Tao Zeng. 2021. "A methodology to clarify logical relationship among failure modes and determine system probabilities." Journal of Loss Prevention in the Process Industries 71, no. : 104469.
Domino effects are typically high-impact low-probability (HILP) accidents, which pose a serious threat to chemical process industries. Previous researches on domino effects in chemical industries focus more on static analysis at the spatial scale. From the perspective of the spatial and temporal characteristics of the accident, this study proposed a model to analyze dynamic evolution process of domino effects by using matrix calculation coupled with Monte Carlo simulation, and the dynamic propagation of pool fire accidents is considered as the evolution of domino effects. The algorithm of the model for dynamic domino probabilities considering the synergistic effects of multiple escalation vectors from different units can be used to analyze the complex scenarios of domino effects with high-level and multiple primary accident units. Moreover, the model can be applied in chemical areas with a large number of installations due to the greatly improved calculation efficiency. The proposed model is tested and validated using earlier studied dynamic Bayesian network method, and the application of the model is demonstrated on a complex multi-unit system. The results show that domino effects have strong temporal correlation, and the scenario with multiple primary accident units is much more serious than that with only one primary accident unit, which provide important support for the implementation of emergency response. The study highlights that the proposed model serves as an important tool to evaluate strategies for prevention and control of domino effects.
Kongxing Huang; Guohua Chen; Faisal Khan; Yunfeng Yang. Dynamic analysis for fire-induced domino effects in chemical process industries. Process Safety and Environmental Protection 2021, 148, 686 -697.
AMA StyleKongxing Huang, Guohua Chen, Faisal Khan, Yunfeng Yang. Dynamic analysis for fire-induced domino effects in chemical process industries. Process Safety and Environmental Protection. 2021; 148 ():686-697.
Chicago/Turabian StyleKongxing Huang; Guohua Chen; Faisal Khan; Yunfeng Yang. 2021. "Dynamic analysis for fire-induced domino effects in chemical process industries." Process Safety and Environmental Protection 148, no. : 686-697.
Flood events impose great distress on chemical industrial areas, since they may cause Natech accidents involving multiple units. Furthermore, escalation vectors exerted by major accidents can trigger knock-on events, so-called domino effects, causing very severe consequences. In the present study, a methodology is proposed to include domino effects triggered by floods in a quantitative risk assessment, by addressing the frequency assessment of flood-induced domino scenarios. A comprehensive procedure is developed, combining the fragility model for unit damage due to floods, probability estimation for domino escalation, and combinatorial analysis for overall scenarios. Moreover, the flow interference due to the layout of chemical industrial areas is explored to calculate the damage probability more accurately. The methodology has been demonstrated by a case study, the changes in risk indexes and damage zones due to Natech domino effects are discussed. The results show that the overall risk significantly increases with respect to conventional scenarios when considering flood-induced Natech events and domino effects, evidencing the importance of risk analysis of Natech-related domino effects. Finally, some prevention measures have been proposed for chemical industrial areas to make them more resilient and safer when it comes to floods.
Tao Zeng; Guohua Chen; Genserik Reniers; Yunfeng Yang. Methodology for quantitative risk analysis of domino effects triggered by flood. Process Safety and Environmental Protection 2021, 147, 866 -877.
AMA StyleTao Zeng, Guohua Chen, Genserik Reniers, Yunfeng Yang. Methodology for quantitative risk analysis of domino effects triggered by flood. Process Safety and Environmental Protection. 2021; 147 ():866-877.
Chicago/Turabian StyleTao Zeng; Guohua Chen; Genserik Reniers; Yunfeng Yang. 2021. "Methodology for quantitative risk analysis of domino effects triggered by flood." Process Safety and Environmental Protection 147, no. : 866-877.
Based on the coupling of the arbitrary-Lagrangian-Eulerian (ALE) and finite element (FE) algorithms, the paper presents a numerical model that takes into account the fluid properties of an explosive gas and the mechanical characteristics of a structure to simulate the dynamic process of a natural gas explosion in an urban utility tunnel. The dynamic response of the tunnel is clarified by analysing the pressure, displacement, velocity, and effective stress of the structure. Furthermore, the mechanical behaviour of the tunnel in which the explosion occurs, corresponding to different gas leakages and cube sizes, is investigated. It is determined that an increase in gas leakage and decrease in cube size increase the blast pressure, propagation velocity of the explosion cloud, and effective stress acting on the tunnel.
Yongzhi Xue; Guohua Chen; Qiang Zhang; Mulin Xie; Jiajun Ma. Simulation of the dynamic response of an urban utility tunnel under a natural gas explosion. Tunnelling and Underground Space Technology 2020, 108, 103713 .
AMA StyleYongzhi Xue, Guohua Chen, Qiang Zhang, Mulin Xie, Jiajun Ma. Simulation of the dynamic response of an urban utility tunnel under a natural gas explosion. Tunnelling and Underground Space Technology. 2020; 108 ():103713.
Chicago/Turabian StyleYongzhi Xue; Guohua Chen; Qiang Zhang; Mulin Xie; Jiajun Ma. 2020. "Simulation of the dynamic response of an urban utility tunnel under a natural gas explosion." Tunnelling and Underground Space Technology 108, no. : 103713.
While chemical industrial development in China is growing rapidly, the corresponding safety training resources remain inadequate, which may often lead to increased risk of chemical accidents. These accidents are often associated with the negligence of safety management, poor safety hazard awareness, and lack of safety practice. In order to alleviate these prominent risk factors in chemical industries in China, our study develops a talent training model related to chemical process safety. First, we propose an approach for establishing the “talent training model” related to chemical process safety, consisting of three steps: analyzing the current status and existing problems of talent training related to chemical process safety, determining the theoretical basis and training objectives for developing interdisciplinary talents, and designing a new talent training model. Second, we establish a talent training model using the proposed method, which includes a comprehensive curriculum system, a diversified teaching pattern, and a quintuple evaluation method. Furtherly, we determine the expected outcomes of the talent training model. The research results provide an innovative chemical process safety training method that is applicable nationwide, also it works as a reference for other rapidly developing countries in the chemical process industry to improve safety within the chemical industry.
Guohua Chen; Xiaofeng Li; Xinyu Zhang; Genserik Reniers. Developing a talent training model related to chemical process safety based on interdisciplinary education in China. Education for Chemical Engineers 2020, 34, 115 -126.
AMA StyleGuohua Chen, Xiaofeng Li, Xinyu Zhang, Genserik Reniers. Developing a talent training model related to chemical process safety based on interdisciplinary education in China. Education for Chemical Engineers. 2020; 34 ():115-126.
Chicago/Turabian StyleGuohua Chen; Xiaofeng Li; Xinyu Zhang; Genserik Reniers. 2020. "Developing a talent training model related to chemical process safety based on interdisciplinary education in China." Education for Chemical Engineers 34, no. : 115-126.
The increasing demand for chemical products has driven the construction and development of chemical industrial areas, or so-called ‘chemical industrial parks’ (CIPs), but this has intrinsically raised the risk of major accidents. Therefore, it is significant and urgent to summarize the state of art and research needs in the field of CIP safety. In this paper, a keyword co-occurrence analysis of 116 scientific articles was conducted to support the classification of research topics in this field, then an overview of those research topics was presented to investigate the evolution of safety research with respect to CIPs. Specifically, the way that safety assessments are conducted, as well as how safety management and safety technology in such areas are classified and investigated, followed by detailed descriptions of representative methods and their contributions to CIP safety, are discussed. An integrated safety framework for CIPs is proposed to organize safety approaches and measures systematically. Based on the classification and analysis of studies on management, assessment, and technology related to CIP safety, the research trends and future directions and challenges are discussed and outlined. Those results are useful for improving theoretical method and industrial strategies, and can advance the safety and sustainability development of CIPs.
Tao Zeng; Guohua Chen; Yunfeng Yang; Genserik Reniers; Yixin Zhao; Xia Liu. A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks. Sustainability 2020, 12, 5753 .
AMA StyleTao Zeng, Guohua Chen, Yunfeng Yang, Genserik Reniers, Yixin Zhao, Xia Liu. A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks. Sustainability. 2020; 12 (14):5753.
Chicago/Turabian StyleTao Zeng; Guohua Chen; Yunfeng Yang; Genserik Reniers; Yixin Zhao; Xia Liu. 2020. "A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks." Sustainability 12, no. 14: 5753.
Natech events triggered by earthquakes are one of the major threats in chemical clusters. Earthquake can not only cause serious damage to equipment, but also hinder the rescue operations and exacerbate the evolution and escalation of accidents. In order to analyze the complicated domino accident scenarios under earthquake in chemical tank farms, an innovative quantitative analysis method is proposed. The algorithm based on Monte Carlo simulation for domino probabilities considers the multiple escalation vectors of the same accident unit and the synergistic effect of multiple escalation vectors from different units. Domino probabilities at different levels can be analyzed for specific primary scenario and overall scenarios. Two different rescue operation states considering and not considering the impact of earthquake are analyzed in case study. The results show that earthquake greatly increases the risk of chemical tank farm and rescue operations with longer time lead to higher domino probabilities due to higher escalation probabilities; the domino accident evolves faster and has higher probabilities in the primary scenario with multiple accident sources; the domino probabilities above third level are small for overall scenarios, especially in the case of high earthquake intensity. The methodology can also be applied to the analysis of complex specific accident scenarios and provide support for the setting of safety barriers and emergency resources.
Kongxing Huang; Guohua Chen; Yunfeng Yang; Peizhu Chen. An innovative quantitative analysis methodology for Natech events triggered by earthquakes in chemical tank farms. Safety Science 2020, 128, 104744 .
AMA StyleKongxing Huang, Guohua Chen, Yunfeng Yang, Peizhu Chen. An innovative quantitative analysis methodology for Natech events triggered by earthquakes in chemical tank farms. Safety Science. 2020; 128 ():104744.
Chicago/Turabian StyleKongxing Huang; Guohua Chen; Yunfeng Yang; Peizhu Chen. 2020. "An innovative quantitative analysis methodology for Natech events triggered by earthquakes in chemical tank farms." Safety Science 128, no. : 104744.
Along with the expansion of China’s chemical industry, a series of catastrophic chemical accidents have occurred, often with severe human casualties, resulting in adverse effects on the sustainable development. In line with these developments, process safety research is also developing rapidly in China. This paper aims to present insights in the progress of process safety research in China using bibliometric analysis. The results indicate that in China the most productive authors, institutions, and provinces are located in economically developed coastal areas and in areas with more universities specializing in safety science and engineering. As for the international cooperation, the most significant collaborating countries are economically developed countries or China’s neighbors, and these countries have published a large number of papers important in this field. The citation analysis shows that Chinese process safety research currently still has a relatively limited international impact. The analysis of hot topics shows that there currently are very few new methods or research topics introduced in recent years, and there is still significant room for the Chinese research community to improve in some subdomains of the research field. Based on these trends and apparent shortcomings in the literature, future research directions are proposed. The results contribute to understanding the overall situation of process safety research in China, and can serve as a high-level synthesis of the research field. This information is useful for developing research and development policies and industrial strategies, and benefits the safety and sustainability of China’s chemical industries.
Yunfeng Yang; Guohua Chen; Genserik Reniers; Floris Goerlandt. A bibliometric analysis of process safety research in China: Understanding safety research progress as a basis for making China’s chemical industry more sustainable. Journal of Cleaner Production 2020, 263, 121433 .
AMA StyleYunfeng Yang, Guohua Chen, Genserik Reniers, Floris Goerlandt. A bibliometric analysis of process safety research in China: Understanding safety research progress as a basis for making China’s chemical industry more sustainable. Journal of Cleaner Production. 2020; 263 ():121433.
Chicago/Turabian StyleYunfeng Yang; Guohua Chen; Genserik Reniers; Floris Goerlandt. 2020. "A bibliometric analysis of process safety research in China: Understanding safety research progress as a basis for making China’s chemical industry more sustainable." Journal of Cleaner Production 263, no. : 121433.
The blast load distribution is an important factor affecting the accuracy of structural damage and domino effect analysis caused by explosions in petroleum and chemical industries. The distribution is usually treated as the uniform or non-uniform and the latter is more suitable for the real scenarios. However, the applicability of the uniform distribution has not been studied in details. In the present study, both the blast load intensity model (BLIM) and blast damage intensity model (BDIM) are developed to represent uniform or non-uniform blast loads quantitatively. Three explosion types (free air burst, air burst and surface burst) and three target structural surfaces (rectangular plates, cylindrical shells and spherical shells) are considered in BLIM and BDIM. The element superposition method based on finite element model (FEM) is proposed, which can solve BLIM and BDIM accurately. Furthermore, the relative difference between the uniform and non-uniform distribution can be obtained on basis of BLIM and BDIM. Finally, the application condition for the rectangular plates - critical stand-off distances with the relative difference of 5%, is defined and verified to distinguish the uniform and non-uniform distribution. The study can provide an insight into the proper application of blast load distribution.
Kun Hu; Guohua Chen; Rouzbeh Abbassi; Zhihang Zhou; Tao Zeng; Yi Yang. A novel approach to distinguish the uniform and non-uniform distribution of blast loads in process industry. Process Safety and Environmental Protection 2019, 134, 416 -428.
AMA StyleKun Hu, Guohua Chen, Rouzbeh Abbassi, Zhihang Zhou, Tao Zeng, Yi Yang. A novel approach to distinguish the uniform and non-uniform distribution of blast loads in process industry. Process Safety and Environmental Protection. 2019; 134 ():416-428.
Chicago/Turabian StyleKun Hu; Guohua Chen; Rouzbeh Abbassi; Zhihang Zhou; Tao Zeng; Yi Yang. 2019. "A novel approach to distinguish the uniform and non-uniform distribution of blast loads in process industry." Process Safety and Environmental Protection 134, no. : 416-428.
Atmospheric storage tanks damaged by floods may lead to severe NaTech accident scenarios, and the vulnerability assessment of process equipment suffered by natural events is a crucial point in NaTech risk analysis. In the present study, limit state equations for failure modes of displacement and buckling are introduced based on load-resistance relationships. The parameterized fragility models that can be used in a wide variety of atmospheric unanchored storage tanks and floods have been developed based on logistic regression (LR), and moreover, the models are assessed and validated by receiver operating characteristic (ROC) curves and available accident data in literature. The effects of filling level and density of storaged liquid, the diameter and height of tank, and the inundation height and velocity of flood on the vulnerability of different failure modes are analyzed using fragility curves. Furthermore, fragility magic cubes are first proposed to obtain critical disaster conditions and critical filling levels in different cases. Finally, corresponding quantitative mitigation measures in different stages such as site selection, design, and operation are proposed based on the results of vulnerability assessment.
Yunfeng Yang; Guohua Chen; Genserik Reniers. Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression. Reliability Engineering & System Safety 2019, 196, 106721 .
AMA StyleYunfeng Yang, Guohua Chen, Genserik Reniers. Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression. Reliability Engineering & System Safety. 2019; 196 ():106721.
Chicago/Turabian StyleYunfeng Yang; Guohua Chen; Genserik Reniers. 2019. "Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression." Reliability Engineering & System Safety 196, no. : 106721.
Although there is a growing field of research focusing on university laboratory safety, accidents in such contexts still occur relatively frequently. Therefore, it is significant to summarize current research status and gaps, and to propose future research directions in the field of university laboratory safety. In this paper, a bibliometric analysis method was applied to gain an overall view of the developments, focus areas, and trends in this field of safety research. A total of 219 scientific publications on university laboratory safety were identified and screened from the database of Web of Science, covering 44 countries or regions, 254 research institutions, 575 authors, 126 publication sources, and 70 subject categories. Bibliometric data such as annual growth trend and distribution of subject categories were analyzed by using descriptive statistics. The most productive and influential countries, institutions, authors, and their cooperation networks were identified from co-citation maps created by VOSviewer. Further analysis was carried out to find out the core publications and publication sources in this field. Insights in the focus areas and research topics over time were obtained through terms co-occurrence analysis. The results indicate that university laboratory safety is a highly multidisciplinary research field. However, it is still a young discipline and belongs to the minority research field when compared with other safety domains. Several avenues for future research are identified to advance and make progress in this field.
Yunfeng Yang; Genserik Reniers; Guohua Chen; Floris Goerlandt. A bibliometric review of laboratory safety in universities. Safety Science 2019, 120, 14 -24.
AMA StyleYunfeng Yang, Genserik Reniers, Guohua Chen, Floris Goerlandt. A bibliometric review of laboratory safety in universities. Safety Science. 2019; 120 ():14-24.
Chicago/Turabian StyleYunfeng Yang; Genserik Reniers; Guohua Chen; Floris Goerlandt. 2019. "A bibliometric review of laboratory safety in universities." Safety Science 120, no. : 14-24.
Flame height and lift-off distance of vertically oriented rectangular source natural gas jet fires with buoyancy-momentum flame Froude number up to 3.06 are investigated by a series of experiments. The jet fires are produced by rectangular equal-area nozzles (314 mm2) with 6 aspect ratios (length to width of the nozzle exit) ranging from 5:1 to 50:1. It is found the flame height (excluding lift-off) gradually decreases as the aspect ratio increases for a given heat release rate due to an improvement of buoyant entrainment. With refinement values of the entrainment strength constant C1 for different source aspect ratios being obtained, the application of the classic correlation of Quintiere & Grove can be extended to characterize the flame height of jet fire in transition regime from buoyancy-controlled to momentum-controlled. The value of C1 can be considered as constant (0.216) due to varying slightly with increasing aspect ratios. Moreover, it is revealed that increased aspect ratio reduces the lift-off distance as a result of an improvement of mixing and entrainment in the orifice near field. A unified dimensionless correlation based on the Mixedness-Reactedness Flamelet Theory to predict lift-off distances is developed, which gives encouraging results comparing to the measured values for different source aspect ratios and different equivalent diameters.
Zhihang Zhou; Guohua Chen; Chilou Zhou; Kun Hu; Qiang Zhang. Experimental study on determination of flame height and lift-off distance of rectangular source fuel jet fires. Applied Thermal Engineering 2019, 152, 430 -436.
AMA StyleZhihang Zhou, Guohua Chen, Chilou Zhou, Kun Hu, Qiang Zhang. Experimental study on determination of flame height and lift-off distance of rectangular source fuel jet fires. Applied Thermal Engineering. 2019; 152 ():430-436.
Chicago/Turabian StyleZhihang Zhou; Guohua Chen; Chilou Zhou; Kun Hu; Qiang Zhang. 2019. "Experimental study on determination of flame height and lift-off distance of rectangular source fuel jet fires." Applied Thermal Engineering 152, no. : 430-436.
A major chemical accident has the characteristics of being destructive, and potentially provoking a great loss of lives and property damage in any Chemical Industrial Park (CIP). Emergency rescue and evacuation are essential parts of emergency decision-making for enhancing the capacity and effectiveness of emergency handling and reducing the potential loss of accidents. Most of current literature concentrates on one-way route planning of emergency rescue and evacuation, and applies different models, optimization objectives and algorithms. However, when applying the one-way route planning model in a CIP, a road conflict is possible due to the inherent weak traffic capacity. Therefore, a new method of two-way route planning of emergency rescue and emergency evacuation which considers intelligent obstacle avoidance, is proposed in the paper. The method we developed integrates three modeling components: (i) a dynamic grid environment model to simulate the interaction between the road network and the time-varying location of emergency rescue and evacuation. (ii) a two-way route planning model to simultaneously optimize routes of emergency rescue and routes of emergency evacuation. (iii) an intelligent obstacle avoidance model to prevent potential road conflicts. The results illustrate that the proposed model is able to generate a set of two-way optimum routes and overcomes possible road conflicts successfully.
Peizhu Chen; Guohua Chen; Liangwang Wang; Genserik Reniers. Optimizing emergency rescue and evacuation planning with intelligent obstacle avoidance in a chemical industrial park. Journal of Loss Prevention in the Process Industries 2018, 56, 119 -127.
AMA StylePeizhu Chen, Guohua Chen, Liangwang Wang, Genserik Reniers. Optimizing emergency rescue and evacuation planning with intelligent obstacle avoidance in a chemical industrial park. Journal of Loss Prevention in the Process Industries. 2018; 56 ():119-127.
Chicago/Turabian StylePeizhu Chen; Guohua Chen; Liangwang Wang; Genserik Reniers. 2018. "Optimizing emergency rescue and evacuation planning with intelligent obstacle avoidance in a chemical industrial park." Journal of Loss Prevention in the Process Industries 56, no. : 119-127.
This paper presents an intelligent fault identification method of rolling bearings based on least squares support vector machine optimized by improved particle swarm optimization (IPSO-LSSVM). The method adopts a modified PSO algorithm to optimize the parameters of LSSVM, and then the optimized model could be established to identify the different fault patterns of rolling bearings. Firstly, original fault vibration signals are decomposed into some stationary intrinsic mode functions (IMFs) by empirical mode decomposition (EMD) method and the energy feature indexes extraction based on IMF energy entropy is analyzed in detail. Secondly, the extracted energy indexes serve as the fault feature vectors to be input to the IPSO-LSSVM classifier for identifying different fault patterns. Finally, a case study on rolling bearing fault identification demonstrates that the method can effectively enhance identification accuracy and convergence rate.
Hongbo Xu; Guohua Chen. An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO. Mechanical Systems and Signal Processing 2013, 35, 167 -175.
AMA StyleHongbo Xu, Guohua Chen. An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO. Mechanical Systems and Signal Processing. 2013; 35 (1-2):167-175.
Chicago/Turabian StyleHongbo Xu; Guohua Chen. 2013. "An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO." Mechanical Systems and Signal Processing 35, no. 1-2: 167-175.
Studies on domino effect in chemical industrial parks are crucial for avoiding accident escalation. Domino effect network (DEN) may be formed as a consequence of widely distribution of major hazard installations (MHIs) in chemical industrial parks. To decrease accident scale and prevent catastrophic consequence, it is essential to cut off the relations between entities in a DEN during accident periods. Focusing on this aspect, based on the conceptual model of discrete isolated island (DII) discussed, an objective function was brought out to evaluate the linking level of the whole park; while to help determine the dominant MHI (namely Domino hub in a DEN), equations for calculating accident escalation factor (AEF) was advanced. Further, an algorithm was developed for the proposed model. Application showed that the proposed model, which is capable of providing possible ways to determine the dominant MHI contributing to domino effect, was quite useful and effective for choosing technical prevention measures to enhance the safety level of chemical industrial parks.
Xin-Mei Zhang; Guo-Hua Chen. Modeling and algorithm of domino effect in chemical industrial parks using discrete isolated island method. Safety Science 2010, 49, 463 -467.
AMA StyleXin-Mei Zhang, Guo-Hua Chen. Modeling and algorithm of domino effect in chemical industrial parks using discrete isolated island method. Safety Science. 2010; 49 (3):463-467.
Chicago/Turabian StyleXin-Mei Zhang; Guo-Hua Chen. 2010. "Modeling and algorithm of domino effect in chemical industrial parks using discrete isolated island method." Safety Science 49, no. 3: 463-467.