Condition-based maintenance for continuously monitored degrading systems with multiple failure modes

Liu, Xiao; Li, Jingrui; Al-Khalifa, Khalifa N.; Coit, David W.; Elsayed, Elsayed A.

doi:10.1080/0740817x.2012.690930

Cited by 147 publications

(66 citation statements)

References 36 publications

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confidence: 89%

“…We consider the dependence is described by the failure rate of the sudden failure, which is influenced by both the age and the degradation state of the system. Similar assumptions were also found in Huynh et al [9], Liu et al [15], Castro et al [3] and Huynh et al[10] to deal with competing risk maintenance situation. A preventive threshold in terms of the degradation state was optimized in Huynh et al [9] and Liu et al [15] with different monitoring strategies.…”

supporting

confidence: 76%

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Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

Tang

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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Optimal replacement pOlicy fOr a periOdically inspected system subject tO the cOmpeting sOft and sudden failures Optymalna pOlityka wymiany dO zastOsOwania w systemach pOddawanych przeglądOm OkresOwymnarażOnych na kOnkurujące uszkOdzenia parametryczne i nagłe demonstrated that the optimal replacement policy was a multi-level control-limit policy with monotonically increasing control limits. However, considering only the soft failure seems to be inadequate for the degrading systems that are also subject to the sudden failures. In many practical situations, sudden failures are very likely to interrupt the graceful degradation and then result in more serious consequences. Therefore, in this paper, we consider a competing risk maintenance situation. The system is regarded as failed when the degradation process reaches a critical threshold or when the sudden failure occurs although the degradation process has not reached the threshold. Most of the present papers that deal with such failure scenario assume that the degradation process and the sudden failure are independent with each other. Nevertheless, even if independence is demonstrated to be appropriate for certain types of competing risks, e.g. [2,8,20,21], in many situations the dependent structure between the two failure modes is of importance and should not be neglected. We consider the dependence is described by the failure rate of the sudden failure, which is influenced by both the age and the degradation state of the system. Similar assumptions were also found in Huynh et al. [9], Liu et al. [15], Castro et al. [3] and Huynh et al.[10] to deal with competing risk maintenance situation. A preventive threshold in terms of the degradation state was optimized in Huynh et al. [9] and Liu et al. [15] with different monitoring strategies. The former focused on periodically inspected systems and the latter dealt with continuously monitored ones. Castro et al. [13] also considered a degradation state -based control limit as the alarm of preventive maintenance, but multiple degradation processes were involved in the failure mechanism. In Huynh et al. [10], a novel CBM strategy was proposed using the mean residual life as the control limit. The effectiveness and potential of condition indices that are not strictly limited to failure mechanism in CBM decision-making problems was firstly investigated.In this paper, we will focus on analyzing the optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures. This policy performs the preventive replacement only at inspection instants, and correctively replaces the system at the time of failure. We describe the degrading system using a gamma degradation process, which implies that the soft failure of the system results from a gradual and irreversible accumulation of deterioration. The failure rate corresponding to the sudden failure is described by a proportional hazards model, which means that it is influenced by both the age of the system and the state degradation of ...

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supporting

confidence: 89%

supporting

confidence: 76%

Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

Tang

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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“…Besides the study of optimization of burn-in and preventive maintenances, the optimal researches combined with burn-in and preventive maintenances have been discussed by many investigators [1][2][3][4][5][6][7] . Optimal model combined with burn-in and the preventive replacement under the binary system state was considered in Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal burn-in and preventive maintenance modeling with competing failure processes

Huang

Jing-lun

Ju-hong

et al. 2015

J. Shanghai Jiaotong Univ. (Sci.)

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In this article, we assume that the product in the burn-in procedure only experiences continuous smooth degradation process, while in the field operation period the product experiences both continuous smooth degradation process and shock process. The shock process can cause the product not only traumatic failure, but also additional abrupt degradation damage. After the system reliability model and maintenance model have been proposed, the optimal burn-in setting and age replacement duration are obtained under the considering of minimizing the long run average cost rate. A numerical example with the real data is analyzed to illustrate the application of the model.

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“…Huynh et al (2012); Wang and Zhang (2013); Zhu et al (2010)) and only limited number of papers have been developed considering multiple failure modes in the presence of the CM information. For instance, maintenance model with multiple failure modes with CM data was developed in Liu et al (2013) for continuously monitored degrading systems. However, this assumption is no longer valid when the system state is monitored at discrete times, which is the usual practice.…”

Section: Introductionmentioning

confidence: 99%

Reliability estimation of a production system subject to condition monitoring with two modes of failures

Khaleghei

Makiš

2015

IFAC-PapersOnLine

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In this paper, we present a new fault prediction model for a partially observable production system subject to two failure modes, namely a catastrophic failure and a failure due to the system degradation. The degradation process is described by a three states hidden Markov model(HMM). It is assumed that the time to sudden failure is dependent on system operating state. The parameter estimation procedure based on the Expectation-Maximization(EM) algorithm is developed. Explicit formulas for the conditional reliability function and the mean residual life are derived in terms of the posterior probability that the system is in the warning state. The method is illustrated using simulated data. The effectiveness of the proposed HMM to predict failures is then compared with the performance of the previously published HM model.

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Condition-based maintenance for continuously monitored degrading systems with multiple failure modes

Cited by 147 publications

References 36 publications

Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

Optimal replacement policy for a periodically inspected system subject to the competing soft and sudden failures

Optimal burn-in and preventive maintenance modeling with competing failure processes

Reliability estimation of a production system subject to condition monitoring with two modes of failures

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