Reliability analysis method of a solar array by using fault tree analysis and fuzzy reasoning Petri net

Wu, Jianing; Yan, Shaoze; Xie, Liyang

doi:10.1016/j.actaastro.2011.07.012

Cited by 81 publications

(62 citation statements)

References 22 publications

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“…There is probable weakness in recognition of all possible events that lead to the top event. Also, determination of failure probabilities especially human errors is very complicated (Wu et al 2011).…”

Section: Methodsmentioning

confidence: 99%

Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation

Taheriyoun

Moradinejad

2014

Environ Monit Assess

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The reliability of a wastewater treatment plant is a critical issue when the effluent is reused or discharged to water resources. Main factors affecting the performance of the wastewater treatment plant are the variation of the influent, inherent variability in the treatment processes, deficiencies in design, mechanical equipment, and operational failures. Thus, meeting the established reuse/discharge criteria requires assessment of plant reliability. Among many techniques developed in system reliability analysis, fault tree analysis (FTA) is one of the popular and efficient methods. FTA is a top down, deductive failure analysis in which an undesired state of a system is analyzed. In this study, the problem of reliability was studied on Tehran West Town wastewater treatment plant. This plant is a conventional activated sludge process, and the effluent is reused in landscape irrigation. The fault tree diagram was established with the violation of allowable effluent BOD as the top event in the diagram, and the deficiencies of the system were identified based on the developed model. Some basic events are operator's mistake, physical damage, and design problems. The analytical method is minimal cut sets (based on numerical probability) and Monte Carlo simulation. Basic event probabilities were calculated according to available data and experts' opinions. The results showed that human factors, especially human error had a great effect on top event occurrence. The mechanical, climate, and sewer system factors were in subsequent tier. Literature shows applying FTA has been seldom used in the past wastewater treatment plant (WWTP) risk analysis studies. Thus, the developed FTA model in this study considerably improves the insight into causal failure analysis of a WWTP. It provides an efficient tool for WWTP operators and decision makers to achieve the standard limits in wastewater reuse and discharge to the environment.

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Section: Methodsmentioning

confidence: 99%

Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation

Taheriyoun

Moradinejad

2014

Environ Monit Assess

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“…Added to the inherent advantages of PMC listed above, PRISM's modularity allows for easily expandable, state-efficient models. The modeling methodology is applied to a case study of a solar array mechanical system [7], first using Discrete-Time Markov Chain (DTMC) [8] to model known environment scenarios where the probabilistic distribution of the system's behavior is known, then using Markov Decision Process (MDP) to model the non-deterministic behavior of the system when subjected to unknown environments.…”

Section: Introductionmentioning

confidence: 99%

Formal analysis of fault tree using probabilistic model checking: A solar array case study

Ammar

Hoque

Mohamed

2016

2016 Annual IEEE Systems Conference (SysCon)

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Fault Tree Analysis (FTA) is a widespread technique used to assess the reliability of safety-critical systems. The traditional way of conducting FTA is either through paper and pencil proof or through computer simulation techniques, which are inefficient and prone to inaccuracy. In this paper, we propose the use of probabilistic model checking to automatically analyze fault trees of safety-critical systems. Our methodology consists in the probabilistic formalization of the gates used in a fault tree to a Discrete-Time Markov Chain (DTMC) and a Markov Decision Process (MDP), and the subsequent probabilistic verification using PRISM tool to quantitatively analyze the system. To illustrate the proposed approach we perform the fault tree analysis of a solar array system, used as power source for the DFH-3 satellite. The results show that harsh thermal environment is the main cause of system failures.

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“…The product fault tree analysis (FTA) model can be converted into the relevant FRPN model, and Wu et al [33] described the specific conversion methods and transformation rules which are omitted in this section to make this paper more concise and compact. In brief, the AND gate in the FTA model can be regarded as many places to one transition in the FRPN model.…”

Section: Definition Of Fuzzy Petri Netsmentioning

confidence: 99%

“…By using the method in Section 3.2.2, which is described in detail in [33][34][35], the corresponding FRPN model can be converted as shown in Figure 6. In this process, the module failures listed in Table 1 that only reoccur at long intervals are removed to simplify the FRPN model of the target CNC machine tool.…”

Section: Failure Diagnosis Based On Frpn Of Cnc Machine Toolmentioning

confidence: 99%

Reliability-Based and Cost-Oriented Product Optimization Integrating Fuzzy Reasoning Petri Nets, Interval Expert Evaluation and Cultural-Based DMOPSO Using Crowding Distance Sorting

Zhang

Feng

et al. 2017

Applied Sciences

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Featured Application: By integrating fuzzy reasoning Petri Nets, interval expert evaluation and cultural-based dynamic multi-objective particle swarm optimization (DMOPSO) using crowding distance sorting, the proposed reliability-based and cost-oriented product optimization method is effective to conduct the early product design. A reasonable reliability optimization design scheme can be output, and it is of important guiding significance for the product detailed design. The superiority of the proposed method lies in its outstanding ability to deal with the uncertainties information and dynamic product failure propagation. Abstract:In reliability-based and cost-oriented product optimization, the target product reliability is apportioned to subsystems or components to achieve the maximum reliability and minimum cost. Main challenges to conducting such optimization design lie in how to simultaneously consider subsystem division, uncertain evaluation provided by experts for essential factors, and dynamic propagation of product failure. To overcome these problems, a reliability-based and cost-oriented product optimization method integrating fuzzy reasoning Petri net (FRPN), interval expert evaluation and cultural-based dynamic multi-objective particle swarm optimization (DMOPSO) using crowding distance sorting is proposed in this paper. Subsystem division is performed based on failure decoupling, and then subsystem weights are calculated with FRPN reflecting dynamic and uncertain failure propagation, as well as interval expert evaluation considering six essential factors. A mathematical model of reliability-based and cost-oriented product optimization is established, and the cultural-based DMOPSO with crowding distance sorting is utilized to obtain the optimized design scheme. The efficiency and effectiveness of the proposed method are demonstrated by the numerical example of the optimization design for a computer numerically controlled (CNC) machine tool.

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Reliability analysis method of a solar array by using fault tree analysis and fuzzy reasoning Petri net

Cited by 81 publications

References 22 publications

Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation

Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation

Formal analysis of fault tree using probabilistic model checking: A solar array case study

Reliability-Based and Cost-Oriented Product Optimization Integrating Fuzzy Reasoning Petri Nets, Interval Expert Evaluation and Cultural-Based DMOPSO Using Crowding Distance Sorting

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