A Review on Degradation Modelling and Its Engineering Applications

Shahraki, Ameneh Forouzandeh; Yadav, O. P.; Liao, Haitao

doi:10.23940/ijpe.17.03.p6.299314

Cited by 47 publications

(33 citation statements)

References 103 publications

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“…The discrete time discrete state Markov process model is chosen because it is widely applied for quantitatively describing discrete state degradation processes in many practical applications [36]. For example, a discrete state…”

Section: Model Formulationsmentioning

confidence: 99%

A framework for dynamic risk assessment with condition monitoring data and inspection data

Xing

Zeng

Zio

2019

Reliability Engineering & System Safety

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In this paper, a framework is proposed for integrating condition monitoring and inspection data in Dynamic Risk Assessment (DRA). Condition monitoring data are online-collected by sensors and indirectly relate to component degradation; inspection data are recorded in physical inspections that directly measure the component degradation. A Hidden Markov Gaussian Mixture Model (HM-GMM) is developed for modeling the condition monitoring data and a Bayesian network (BN) is developed to integrate the two data sources for DRA. Risk updating and prediction are exemplified on an Event Tree (ET) risk assessment model. A numerical case study and a real-world application on a Nuclear Power Plant (NPP) are performed to demonstrate the application of the proposed framework.

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Section: Model Formulationsmentioning

confidence: 99%

A framework for dynamic risk assessment with condition monitoring data and inspection data

Xing

Zeng

Zio

2019

Reliability Engineering & System Safety

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“…Shen et al 182 conducted research on modeling more than one degradation measure. Shahraki et al 183 provides a comprehensive review on degradation processes including interaction between stress variables and multiple degradation processes. Wang et al 184,185 considered multiple stresses and multiple measures in the design of constant-stress and step-stress ADTs, respectively.…”

Section: Recent Trends In At Designmentioning

confidence: 99%

A literature review on planning and analysis of accelerated testing for reliability assessment

Limon

Yadav

Liao

2017

Quality & Reliability Eng

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Accelerated testing has been widely used for several decades. Started with accelerated life tests with constant‐stress loadings, more interest has been focused prominently on accelerated degradation tests and time‐varying stress loadings. Because accelerated testing is crucial to the assessment of product reliability and the design of warranty policy, it is important to develop an efficacious test plan that encompasses and addresses important issues, such as design of stress profiles, sample allocation, test duration, measurement frequency, and budget constraint. In recent years, extensive research has been conducted on the optimal design of accelerated testing plans, and the consideration of multiple stresses with interactions has become a big challenge in such experimental designs. The purpose of this study is to provide a comprehensive review of important methods for statistical inference and optimal design of accelerated testing plans by compiling the existing body of knowledge in the area of accelerated testing. In this work, different types of test planning strategies are categorized, and their drawbacks and the research trends are provided to assist researchers and practitioners in conducting new research in this area.

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“…reliability assessment and lifetime evaluation [1]. In fact, the failure of a system can often be attributed to some continuous degrading characteristics, e.g., material loss of a polymeric coating [2].…”

Section: Introductionmentioning

confidence: 99%

Condition-based maintenance with imperfect inspections for continuous degradation processes

Hao

Yang

Bérenguer

2020

Applied Mathematical Modelling

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A condition-based maintenance (CBM) strategy is now recognized as an efficient approach to perform maintenance at the best time before failures so as to save lifetime cycle cost. For continuous degradation processes, a significant source of variability lies in measurement errors caused by imperfect inspections, and this may lead to "false positive" or "false negative" observations, and consequently to inopportune maintenance decisions. To the best of our knowledge, researches on CBM optimization with imperfect inspections remain limited for continuous degradation processes, even though the subject is of practical interest for the implementation of a CBM policy. Imperfect inspections are indeed imperfect but still return interesting information on the system degradation level, and making them perfect can be expensive. Therefore, we analyze the economic performance of a maintenance policy with imperfect inspections, and compare it with the classical policy with perfect inspections to see which policy offers the best benefit in a given situation. Furthermore, a CBM policy with a two-stage inspection scheme is proposed to take benefit of mixing both perfect and imperfect inspections in the same maintenance policy. Through numerical experiments and a real case study, it is shown that the policy with imperfect inspections can be better than the classical one, and that the proposed policy with a two-stage inspection scheme always leads to the minimum long run maintenance cost rate.

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A Review on Degradation Modelling and Its Engineering Applications

Cited by 47 publications

References 103 publications

A framework for dynamic risk assessment with condition monitoring data and inspection data

A framework for dynamic risk assessment with condition monitoring data and inspection data

A literature review on planning and analysis of accelerated testing for reliability assessment

Condition-based maintenance with imperfect inspections for continuous degradation processes

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