Dependent Competing-Risk Degradation Systems

Wang, Yaping; Pham, Hoang

doi:10.1007/978-0-85729-470-8_7

Cited by 13 publications

(7 citation statements)

References 89 publications

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“…Since these jumps can cause a high increase of the deterioration, they are major causes leading to failure. Therefore, in reliability engineering, shock modeling has drawn lots of attention; see for instance Qian et al (2003), van der Weide and Pandey (2011) and Wang and Pham (2011). For probabilistic design, the distribution of extreme loads (such as water levels, discharges, waves, winds, temperatures and rainfall) is of considerable interest.…”

Section: Deterioration Due To Shocks Modeled By Generalized Pareto DImentioning

confidence: 99%

“…The impact of shocks is instantaneous and they are considered to increase only the deterioration level without affecting the wear rate. Wang and Pham (2011) proposed an example of such deterioration where a battery supplying electric power degrades by both chemical reaction and overheating (overvoltage). Similarly to Kharoufeh et al (2006), in this study, we assume that the two deterioration sources are independent.…”

Section: System Description and Deterioration Modelingmentioning

confidence: 99%

“…The competing risk model is an attempt that considers several competing risk sources of failure or deterioration. A thorough review of such dependent competing-risk models is given in Wang and Pham (2011). They review the basic random shock models and the deterioration models, and give also an overview of the multiple competing risks models.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Zhu¹,

Fouladirad²,

Bérenguer³

2015

Computers & Industrial Engineering

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Section: Deterioration Due To Shocks Modeled By Generalized Pareto DImentioning

confidence: 99%

Section: System Description and Deterioration Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Zhu¹,

Fouladirad²,

Bérenguer³

2015

Computers & Industrial Engineering

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“…The classical DTS models assume that the evolutions of degradation and shocks are two independent processes [20,43,44]. However, the dependence between them is of importance in many practical situations and should not be neglected in the modeling [45]. From this point of view, some extensions of DTS models considering the dependence between degradation and shock have been developed.…”

Section: Model Original Features and Applicabilitymentioning

confidence: 99%

Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking

Huynh

Grall

Bérenguer

2017

Reliability Engineering & System Safety

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International audienceSeeking condition indices characterizing the health state of a system is a key problem in condition-based maintenance. For this purpose, diagnostic and prognostic models have been unceasingly developed and improved over the past few decades; nevertheless none of them explains thoroughly the impacts of such indices on the effectiveness of maintenance operations. As a complement to these efforts, this paper analyzes the effectiveness of some well-known diagnostic and prognostic indices for maintenance decision-making. The study is based on a system subject to competing risks due to multiple crack paths. A periodic inspection scheme is used to monitor the system health state. Each inspection returns the perfect diagnostic information: the number of cracks, corresponding crack sizes, and the system failure/working state. Based on this information, two kinds of prognostic condition indices are predicted: the average value and probability law of the system residual useful life. The associated condition-based maintenance strategies and cost models are then developed and compared with the ones whose maintenance decisions are based on diagnostic condition indices. The comparison results allow us to conclude on the performance and on the robustness of these strategies, hence giving some suggestions on the choice of reliable condition indices for maintenance decision-making

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“…In reality, the degradation of a system may consist of multiple degradation processes. There are some studies [15,[20][21][22] focusing on the multiple degradation processes, and they are all based on the competing model of multiple degradation processes. In competing model, the system fails when any of the multiple degradation processes reaches its corresponding failure threshold.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian approach for sealing failure analysis considering the non-competing relationship of multiple degradation processes

Yang¹,

Peng²,

Zhu³

et al. 2016

EiN

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Dependent Competing-Risk Degradation Systems

Cited by 13 publications

References 89 publications

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking

A Bayesian approach for sealing failure analysis considering the non-competing relationship of multiple degradation processes

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