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The big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate and analyse an electric power system, the FIS Mamdani in MATLAB is implemented. The advantage of FIS is that it uses human experience to provide a faster solution than conventional techniques. The elements involved are the Main Electrical Power, the Generator sets, the Automatic Transfer Switches (ATS), and the Uninterrupted Power Supply (UPS), which are analysed to characterize the system behaviour. To evaluate the system and identified the lower reliability modules being proposed, a new reliable design model through the Petri Nets and Fuzzy Inference System approach. The resulting approach contributes to increasing the reliability of complex electrical systems, aiming to reduce their faults and increase their availability.
Constâncio Pinto; José Farinha; Sarbjeet Singh; Hugo Raposo. Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling. Applied Sciences 2021, 11, 2604 .
AMA StyleConstâncio Pinto, José Farinha, Sarbjeet Singh, Hugo Raposo. Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling. Applied Sciences. 2021; 11 (6):2604.
Chicago/Turabian StyleConstâncio Pinto; José Farinha; Sarbjeet Singh; Hugo Raposo. 2021. "Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling." Applied Sciences 11, no. 6: 2604.
The paper aims to investigate the reasons why Augmented Reality (AR) has not fully broken the industrial market yet, or found a wider application in industries. The main research question the paper tries to answer is: what are the factors (and to what extent) that are limiting AR? Firstly, a reflection on the state of art of AR applications in industries is proposed, to discover the sectors more commonly chosen for deploying the technology so far. Later, based on a survey conducted after that, three AR applications have been tested on manufacturing, automotive, and railway sectors, and the paper pinpoints key aspects that are conditioning its embedding in the daily working life. In order to compare whether the perception of employees from railway, automotive, and manufacturing sectors differs significantly, a one-way analysis of variance (ANOVA) has been used. Later, suggestions are formulated in order to improve these aspects in the industry world. Finally, the paper indicates the main conclusions, highlighting possible future researches to start.
Alberto Martinetti; Henrique Costa Marques; Sarbjeet Singh; Leo Van Dongen. Reflections on the Limited Pervasiveness of Augmented Reality in Industrial Sectors. Applied Sciences 2019, 9, 3382 .
AMA StyleAlberto Martinetti, Henrique Costa Marques, Sarbjeet Singh, Leo Van Dongen. Reflections on the Limited Pervasiveness of Augmented Reality in Industrial Sectors. Applied Sciences. 2019; 9 (16):3382.
Chicago/Turabian StyleAlberto Martinetti; Henrique Costa Marques; Sarbjeet Singh; Leo Van Dongen. 2019. "Reflections on the Limited Pervasiveness of Augmented Reality in Industrial Sectors." Applied Sciences 9, no. 16: 3382.
Applying lockouts during maintenance is intended to avoid accidental energy release, whereas tagging them out keeps employees aware of what is going on with the machine. In spite of regulations, serious accidents continue to occur due to lapses during lockout and tagout (LOTO) applications. Few studies have examined LOTO effectiveness from a user perspective. This article studies LOTO processes at a manufacturing organization from a situation awareness (SA) perspective. Technicians and machine operators were interviewed, a focus group discussion was conducted, and operators were observed. Qualitative content analysis revealed perceptual, comprehension and projection challenges associated with different phases of LOTO applications. The findings can help lockout/tagout device manufacturers and organizations that apply LOTO to achieve maximum protection.
Prasanna Illankoon; Yamuna Manathunge; Phillip Tretten; John Abeysekara; Sarbjeet Singh. Lockout and Tagout in a Manufacturing Setting from a Situation Awareness Perspective. Safety 2019, 5, 25 .
AMA StylePrasanna Illankoon, Yamuna Manathunge, Phillip Tretten, John Abeysekara, Sarbjeet Singh. Lockout and Tagout in a Manufacturing Setting from a Situation Awareness Perspective. Safety. 2019; 5 (2):25.
Chicago/Turabian StylePrasanna Illankoon; Yamuna Manathunge; Phillip Tretten; John Abeysekara; Sarbjeet Singh. 2019. "Lockout and Tagout in a Manufacturing Setting from a Situation Awareness Perspective." Safety 5, no. 2: 25.
Purpose – The purpose of this paper is to demonstrate three techniques to extract human factor information from specific railway maintenance tasks. It describes the techniques and shows how these tools can be applied to identify improvements in maintenance practices and workflow. Design/methodology/approach – Three case studies were conducted on single group of technicians (n=19) at a railway maintenance workshop in Luleå, Sweden. Case study I examined the posture of the technicians while they were changing the brake shoes of freight wagons; the study employed the Standard Nordic Questionnaire and a videotape using the Ovako Working Posture Analysis System (OWAS). Case study II looked at maintenance repair times required to change the wheel axle on freight wagons at the workshop. A video filming method suggested by the European Agency for Safety and Health at Work was used to measure actual maintenance time. Finally, case study III considered the technicians’ (n=19) perception of work demands, their control over the work and their social support while performing maintenance tasks (brake shoe and wheel axle maintenance); to this end, the case study used a demand control support questionnaire. Findings – In the first case study, the Standard Nordic Questionnaire confirmed that technicians at this particular railway vehicle maintenance workshop suffer from back and shoulder pain. The Ovako Working Posture Analysis showed that 21 percent of the working time required to fit the brake wedge and cotter pin fits into two OWAS categories: category 3, where “change is required as soon as possible,” and category 4, where “change is required immediately”. Problems stem from poor workplace layout, incorrect posture and inaccessibility of tools and components. In the second study, the video analysis indicated that the working time to change the wheel axle of a freight wagon is greatly affected by poor workplace layout. The third case study showed that the technicians have lower “psychological demands” (mean=13), “higher control over work” (mean=16) and “high social support” (mean=22). Practical implications – The objective of this study was to apply knowledge about human factors to the functional relationships between maintenance personnel, tasks and the working environment to improve safety. If the workplace layout, working posture, maintenance manuals and accessibility of tools are poorly planned, maintenance performance can be adversely affected. The results of this study should assist maintenance management to design new policies and guidelines for improving the work environment. Originality/value – Three case studies were conducted at a railway maintenance workshop in Luleå, Sweden, to collect data on how human factors affect various railway maintenance tasks.
Sarbjeet Singh; Rupesh Kumar; Uday Kumar. Applying human factor analysis tools to a railway brake and wheel maintenance facility. Journal of Quality in Maintenance Engineering 2015, 21, 89 -99.
AMA StyleSarbjeet Singh, Rupesh Kumar, Uday Kumar. Applying human factor analysis tools to a railway brake and wheel maintenance facility. Journal of Quality in Maintenance Engineering. 2015; 21 (1):89-99.
Chicago/Turabian StyleSarbjeet Singh; Rupesh Kumar; Uday Kumar. 2015. "Applying human factor analysis tools to a railway brake and wheel maintenance facility." Journal of Quality in Maintenance Engineering 21, no. 1: 89-99.
Renewable energy sources such as wind energy\ud are available without any limitations. In order to extract\ud this energy efficiency, the reliability of such technologies is\ud critical if pay back periods and power generation requirements\ud are to be met. Due to recent developments in the\ud field of wind engineering and in particular the expansion of\ud installed capacity around the world, the need for reliable\ud and intelligent diagnostic tools is of greater importance.\ud The number of offshore wind turbines installed in the seas\ud around Britain’s coasts is likely to increase from just fewer\ud than 150–7,500 over the next 10 years with the potential\ud cost of £10 billion. Operation and Maintenance activities\ud are estimated to be 35 % against the cost of electricity.\ud However, the development of appropriate and efficient\ud maintenance strategies is currently lacking in the wind\ud industry. The current reliability and failure modes of offshore\ud wind turbines are known and have been used to\ud develop preventive and corrective maintenance strategies\ud which have done little to improve reliability. In addition,\ud the failure of one minor component can cause escalated\ud damage to a major component, which can increase repair\ud and or replacement costs. A reliability centered maintenance\ud (RCM) approach offers considerable benefit to the\ud management of wind turbine operations since it includes an\ud appreciation of the impact of faults on operations. Due to\ud the high costs involved in performing maintenance and the\ud even higher costs associated with failures and subsequent\ud downtime and repair, it is critical that the impacts are\ud considered when maintenance is planned. This paper provides\ud an overview of the application of RCM and on line\ud e-condition monitoring to wind turbine maintenance management.\ud Unplanned maintenance levels can be reduced by\ud increasing the reliability of the gear box and individual\ud gears through the analysis of lubricants. Finally the paper\ud will discuss the development of a complete sensor-based\ud processing unit that can continuously monitor the wind\ud turbines lubricated systems and provide, via wireless\ud technology, real time data enabling on shore staff with the\ud ability to predict degradation anticipate problems and take\ud remedial action before damage and failure occurs
Sarbjeet Singh; David Baglee; Knowles Michael; Diego Galar. Developing RCM strategy for wind turbines utilizing e-condition monitoring. International Journal of System Assurance Engineering and Management 2014, 6, 150 -156.
AMA StyleSarbjeet Singh, David Baglee, Knowles Michael, Diego Galar. Developing RCM strategy for wind turbines utilizing e-condition monitoring. International Journal of System Assurance Engineering and Management. 2014; 6 (2):150-156.
Chicago/Turabian StyleSarbjeet Singh; David Baglee; Knowles Michael; Diego Galar. 2014. "Developing RCM strategy for wind turbines utilizing e-condition monitoring." International Journal of System Assurance Engineering and Management 6, no. 2: 150-156.
This paper investigates the factors affecting human operators’ probability of failure when performing railway maintenance tasks. The objective is to understand the interaction of the various factors and to identify driving and dependent factors. The factors are identified through a survey of the literature and ranked using a Likert scale. The reliability of measures is pretested by applying Cronbach’s alpha coefficient to responses to the questionnaire given to maintenance personnel. An interpretive structural model is presented, and factors are classified using matrice d’impacts croises-multiplication appliqué à un classement (MICMAC). The research may help maintenance management understand the interaction of factors affecting human failure probability in railway maintenance and help management devise policies and guidelines for railway maintenance related tasks.
Sarbjeet Singh; Rupesh Kumar; Uday Kumar. Modelling factors affecting human operator failure probability in railway maintenance tasks: an ISM-based analysis. International Journal of System Assurance Engineering and Management 2014, 6, 129 -138.
AMA StyleSarbjeet Singh, Rupesh Kumar, Uday Kumar. Modelling factors affecting human operator failure probability in railway maintenance tasks: an ISM-based analysis. International Journal of System Assurance Engineering and Management. 2014; 6 (2):129-138.
Chicago/Turabian StyleSarbjeet Singh; Rupesh Kumar; Uday Kumar. 2014. "Modelling factors affecting human operator failure probability in railway maintenance tasks: an ISM-based analysis." International Journal of System Assurance Engineering and Management 6, no. 2: 129-138.
The modern systems operating at varying conditions brought a new paradigm shift to in-machine renovation and repair. These systems often encounter an infinite collection of clumsy diagnostic tools and applications that decrease agility, increase time-to-repair, and increase management overheads. One approach is to remove the human and potential costly and time consuming human errors, from the diagnosis of faults and implementation of a maintenance strategy. In order to achieve this it is necessary to develop systems that support advanced intelligent maintenance systems or smart maintenance technologies. Self-maintenance machines can be a better option with the capabilities of condition monitoring, diagnosing, repair planning and executing in order to extend the life and performance of equipment. The objective of this paper is to discuss the concept of self-maintenance, need of self-maintenance, potential scenarios where self-maintenance can be successfully implemented and issues related to self-maintenance machines. It has been concluded that the aim is to have self-maintenance system in order to make a machine capable of reconfiguration, compensation, and self-maintenance.
Sarbjeet Singh; Diego Galar; David Baglee; Sten-Erik Björling. Self-maintenance techniques: a smart approach towards self-maintenance system. International Journal of System Assurance Engineering and Management 2013, 5, 75 -83.
AMA StyleSarbjeet Singh, Diego Galar, David Baglee, Sten-Erik Björling. Self-maintenance techniques: a smart approach towards self-maintenance system. International Journal of System Assurance Engineering and Management. 2013; 5 (1):75-83.
Chicago/Turabian StyleSarbjeet Singh; Diego Galar; David Baglee; Sten-Erik Björling. 2013. "Self-maintenance techniques: a smart approach towards self-maintenance system." International Journal of System Assurance Engineering and Management 5, no. 1: 75-83.