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The pod slewing system is a complex hydraulic system that can realize the ship's yawing or reversing. Thus, its performance directly affects the maneuverability and flexibility of the ship. Existing research on the pod slewing system has mostly focused on its design and control aspects. This paper makes contributions by modeling the reliability of the pod slewing system and performing the component importance analysis using the integrated importance measure and the griffith importance measure to identify weak or vulnerable components of the system. Based on the importance analysis results, the optimal maintenance strategy is investigated, which maximizes the system performance subject to the constraint on the total maintenance costs. Example solutions to the optimized maintenance strategies are demonstrated for different mission time and different cost constraints.
Liwei Chen; Yansan Gao; Hongyan Dui; Liudong Xing. Importance measure-based maintenance optimization strategy for pod slewing system. Reliability Engineering & System Safety 2021, 108001 .
AMA StyleLiwei Chen, Yansan Gao, Hongyan Dui, Liudong Xing. Importance measure-based maintenance optimization strategy for pod slewing system. Reliability Engineering & System Safety. 2021; ():108001.
Chicago/Turabian StyleLiwei Chen; Yansan Gao; Hongyan Dui; Liudong Xing. 2021. "Importance measure-based maintenance optimization strategy for pod slewing system." Reliability Engineering & System Safety , no. : 108001.
Brain science research often requires accurate localization and quantitative analysis of neuronal activity in different brain regions. The premise of related analysis is to determine the brain region of each site on the brain slice by referring to the Allen Reference Atlas (ARA), namely the regional localization of the brain slice. The image registration methodology can be used to solve the problem of regional localization. However, the conventional multi-modal image registration method is not satisfactory because of the complexity of modality between the brain slice and the ARA. Inspired by the idea that people can automatically ignore noise and establish correspondence based on key regions, we proposed a novel method known as the Joint Enhancement of Multimodal Information (JEMI) network, which is based on a symmetric encoder–decoder. In this way, the brain slice and the ARA are converted into a segmentation map with unified modality, which greatly reduces the difficulty of registration. Furthermore, combined with the diffeomorphic registration algorithm, the existing topological structure was preserved. The results indicate that, compared with the existing methods, the method proposed in this study can effectively overcome the influence of non-unified modal images and achieve accurate and rapid localization of the brain slice.
Songwei Wang; Yuhang Wang; Ke Niu; Qian Li; Xiaoping Rao; Hui Zhao; Liwei Chen; Li Shi. Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation. Symmetry 2021, 13, 929 .
AMA StyleSongwei Wang, Yuhang Wang, Ke Niu, Qian Li, Xiaoping Rao, Hui Zhao, Liwei Chen, Li Shi. Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation. Symmetry. 2021; 13 (6):929.
Chicago/Turabian StyleSongwei Wang; Yuhang Wang; Ke Niu; Qian Li; Xiaoping Rao; Hui Zhao; Liwei Chen; Li Shi. 2021. "Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation." Symmetry 13, no. 6: 929.
In order to maximize inventory benefits or minimize costs, reliability and cost of inventory control models need to be identified and analyzed. These importance measures are one important approach to recognize and evaluate system weaknesses. However, importance measures have fewer applications in inventory systems’ reliability. Considering the cost, this paper mainly discusses the reliability change of performance parameters with the importance measures in inventory systems. The calculation methods of differential importance and Birnbaum importance are studied in the inventory control model with shortages. By comparing the importance values of various parameters in the model, the optimization analysis of the inventory model can be used to identify the key parameters, so as to effectively reduce the total inventory cost. The importance order and the identification of key parameters are helpful to increase the operational efficiency of the inventory control and provide effective methods for improving the inventory management. Lastly, a case study with a shortage and limited inventory capacity is used to demonstrate the proposed model.
Liwei Chen; Meng Kou; Songwei Wang. On the Use of Importance Measures in the Reliability of Inventory Systems, Considering the Cost. Applied Sciences 2020, 10, 7942 .
AMA StyleLiwei Chen, Meng Kou, Songwei Wang. On the Use of Importance Measures in the Reliability of Inventory Systems, Considering the Cost. Applied Sciences. 2020; 10 (21):7942.
Chicago/Turabian StyleLiwei Chen; Meng Kou; Songwei Wang. 2020. "On the Use of Importance Measures in the Reliability of Inventory Systems, Considering the Cost." Applied Sciences 10, no. 21: 7942.
The reliability of the transportation network is studied by simulating the attack on the important edges. The important edges are deliberately attacked, and the impedance of the attacking edges is set to infinity. Then the influence of the characteristics of single failure edge on network reliability change and the influence of failure edge number on network reliability change are studied. Two test schemes are designed to compare the changes of network reliability in three failure experiments. At last, for the transportation network ofZhengzhou-Europe International Block train, the simulation experiment of the transportation network reliability is curried out to demonstrate the proposed method. The reliability of the transportation network is studied through numerical simulation, which is helpful to improve the reliability of the transportation network and reduce the huge economic loss caused by the failure.
Hongyan Dui; Xiaoqian Zheng; Liwei Chen; Zhujun Wang. Model and simulation analysis for the reliability of the transportation network. Journal of Simulation 2020, 1 -10.
AMA StyleHongyan Dui, Xiaoqian Zheng, Liwei Chen, Zhujun Wang. Model and simulation analysis for the reliability of the transportation network. Journal of Simulation. 2020; ():1-10.
Chicago/Turabian StyleHongyan Dui; Xiaoqian Zheng; Liwei Chen; Zhujun Wang. 2020. "Model and simulation analysis for the reliability of the transportation network." Journal of Simulation , no. : 1-10.
The voting system is a kind of redundant system, and the k-out-of- n system and consecutive k-out-of- n system have been widely used in engineering practice. In this article, the marginal reliability importance and joint reliability importance in k-out-of- n: F systems and consecutive k-out-of- n: F systems are studied for some situations. Then, some properties and relevant remarks of the marginal reliability importance and joint reliability importance in two kinds of system models are analyzed for parameters p, k, and n. Finally, an oil pump transportation system is used to demonstrate the proposed method and illustrate the feasibility and practicality of the model.
Hongyan Dui; Liwei Chen; Jinchao Li. Importance analysis in two kinds of redundant systems: k-out-of-n and consecutive k-out-of-n: F systems. Advances in Mechanical Engineering 2019, 11, 1 .
AMA StyleHongyan Dui, Liwei Chen, Jinchao Li. Importance analysis in two kinds of redundant systems: k-out-of-n and consecutive k-out-of-n: F systems. Advances in Mechanical Engineering. 2019; 11 (1):1.
Chicago/Turabian StyleHongyan Dui; Liwei Chen; Jinchao Li. 2019. "Importance analysis in two kinds of redundant systems: k-out-of-n and consecutive k-out-of-n: F systems." Advances in Mechanical Engineering 11, no. 1: 1.
Hongyan Dui; Liwei Chen; Shaomin Wu. Generalized integrated importance measure for system performance evaluation: application to a propeller plane system. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2017, 19, 279 -286.
AMA StyleHongyan Dui, Liwei Chen, Shaomin Wu. Generalized integrated importance measure for system performance evaluation: application to a propeller plane system. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 2017; 19 (2):279-286.
Chicago/Turabian StyleHongyan Dui; Liwei Chen; Shaomin Wu. 2017. "Generalized integrated importance measure for system performance evaluation: application to a propeller plane system." Eksploatacja i Niezawodnosc - Maintenance and Reliability 19, no. 2: 279-286.