On the Reliability Evaluation of Failure Delayed Industrial Systems

Abstract

This paper presents an analytical approach for the evaluation of multi‐user safety critical systems presenting a failure delayed behavior pattern. As a consequence of a failure event, the performance of these systems worsens progressively due to the internal fault tolerance mechanisms or the complacency of the users regarding the temporary unavailability of the services. A distinctive feature of the approach is the ability to handle stochastic models containing multiple processes with generalized distributions. The approach is based on the determination of analytical expressions to measure reliability, for instance, frequency and probability of failure states, which may be evaluated using general purpose mathematical tools. The paper first reviews other well‐established techniques employed in the assessment of non‐Markovian systems, particularly those based on stochastic Petri nets. The rationale of the new approach and its fundamental algorithms are presented together with a set of illustrative examples which highlight the strengths of the approach, as well as its limitations. Copyright © 2012 John Wiley & Sons, Ltd.

Reliability modelling with redundancy—A case study of power generation engines in a wastewater treatment plant

“…Conventional maintenance and reliability strategies are based on corrective actions and so‐called reactive maintenance . Asset managers are not inclined to use this type of maintenance approach because of service or production downtimes, safety risks, and high costs of reactive maintenance . Undoubtedly, asset deterioration and failures could significantly affect the engineering process efficiency and are not beneficial for asset owners .…”

“…4 Asset managers are not inclined to use this type of maintenance approach because of service or production downtimes, safety risks, and high costs of reactive maintenance. 5 Undoubtedly, asset deterioration and failures could significantly affect the engineering process efficiency and are not beneficial for asset owners. 6 Hence, maintenance and reliability analysis based on reliability-centred maintenance (RCM) and lifetime distribution models is required to optimise operation and maintenance strategies.…”

“…20 The data-driven approach is suitable to estimate asset reliability using available failure event, condition indicator, and operating and environment data. 5 However, without condition indicator data and/or operating and environment data, the Weibull model is appropriate for asset lifetime modelling if a large number of failure data are available. 21 The Weibull model has been successfully applied to solve similar practical problems in other industries.…”

Application of power law model in reliability evaluation of machine tools by considering working condition difference

“…Seyed further verified that the PLM can better fit the fault data of the drum shearer cable system to analyze the reliability of the system . Other models of reliability evaluation that consider human factors are proposed, such as Petri‐net, hidden Markov models, Markov chain Monte Carlo method, and Bayes method . However, the above method does not consider the impact of working condition difference on the reliability of NC machine tools.…”