Safety Analysis Using Petri Nets
IEEE Transactions on Software Engineering
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
System failure engineering and fuzzy methodology: an introductory overview
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Architecture-based approach to reliability assessment of software systems
Performance Evaluation
A fuzzy scheme for failure mode screening
Fuzzy Sets and Systems
Performance Analysis of Communication Systems with Non-Markovian Stochastic Petri Nets
Performance Analysis of Communication Systems with Non-Markovian Stochastic Petri Nets
A Characterization of the Stochastic Process Underlying a Stochastic Petri Net
IEEE Transactions on Software Engineering
Fuzzy inference to risk assessment on nuclear engineering systems
Applied Soft Computing
An expert system towards solving ship auxiliary machinery troubleshooting: SHIPAMTSOLVER
Expert Systems with Applications: An International Journal
An ontology approach to support FMEA studies
Expert Systems with Applications: An International Journal
RAM analysis of repairable industrial systems utilizing uncertain data
Applied Soft Computing
Bayesian system reliability assessment under the vague environment
Applied Soft Computing
Applying cluster-based fuzzy association rules mining framework into EC environment
Applied Soft Computing
Review: Risk evaluation approaches in failure mode and effects analysis: A literature review
Expert Systems with Applications: An International Journal
Fuzzy FMEA application to improve purchasing process in a public hospital
Applied Soft Computing
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As such the reliability of system is affected by many factors such as design, manufacturing, installation, commissioning, operation and maintenance. Consequently it may be extremely difficult if not impossible to model, analyze and predict the failure behavior of system. To this effect, the authors presented a structured framework which makes use of fuzzy methodology (FM), an approximate reasoning tool to deal with the imprecise, uncertain and subjective information related to system performance. The component related objective events are modeled with the help of the Petri net model of the system. Various parameters of managerial importance such as repair time, failure rate, mean time between failures, availability and expected number of failures are computed to quantify the uncertain behavior of system. Further, to improve upon the reliability characteristics of the system, in-depth qualitative analysis of unit is carried out using failure mode and effect analysis (FMEA) by listing all possible failure modes and their causes. A decision support system based on fuzzy set theory is developed to counter the limitations of traditional FMEA. The framework has been applied to model and analyze a real complex industrial system from paper mill.