Hybrid preventive maintenance of competing failures under random environment

Yang, Li; Zhao, Yu; Peng, Rui; Ma, Xiaobing

doi:10.1016/j.ress.2018.02.017

Cited by 133 publications

(49 citation statements)

References 34 publications

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“…40 The former is schemed at a predetermined age, which is a common strategy for sudden failures. 40 The former is schemed at a predetermined age, which is a common strategy for sudden failures.…”

Section: Condition-basedmentioning

confidence: 99%

E‐maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services

Liu

2019

Concurrency and Computation

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As an important kind of infrastructure, a tunnel's life is estimated to be 100 years or more. During its service life, an effective maintenance strategy plays an essential role in keeping its availability and safety. Maintenance work involves a set of participants, activities, and resources, and in this case, tunnel-related data are distributed to heterogeneous information management systems in varying formats, bringing difficulties to implement effective maintenance. This paper proposes an E-maintenance Framework for Public Infrastructure (EFPI), combining Building Information Modeling (BIM), Industry Foundation Classes (IFC), and Semantic Web technologies to help integrate heterogeneous data and expert knowledge, enable information sharing through the whole life cycle, and support maintenance managers to make effective maintenance decisions.A cost estimation case is provided in this paper to illustrate the implementation mechanism and validate the proposed approach.

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Section: Condition-basedmentioning

confidence: 99%

E‐maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services

Liu

2019

Concurrency and Computation

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“…For instance, competitions of different failure causes or modes (eg, degradations, shocks, and catastrophic failures) were modeled for s ‐dependent, s ‐independent, and mutually exclusive cases. In previous studies, competitions of different failure modes were considered for designing maintenance policies. In Qiu and Cui, the reliability performance was evaluated for systems subject to a dependent two‐stage failure process with competing defect‐based and duration‐based failure modes.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling of correlated competitions and dependent components with random failure propagation time

Xing

Zhao

Wang

et al. 2020

Quality & Reliability Eng

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Function dependence takes place in systems where the malfunction of certain trigger component(s) causes other system components (referred to as dependent components) to become unusable or inaccessible. Systems undergoing function dependence often exhibit diverse statuses due to competitions in the time domain between propagated failure from a dependent component and local failure of the corresponding trigger component. If the former wins (ie, occurring first), a failure propagation effect is induced, crashing the entire system. If the latter wins, a failure isolation effect may be induced quarantining the damage from the propagated failure (the isolation effect can occur in a deterministic or probabilistic manner depending on applications). Existing models addressing such competitions have restrictive assumptions such as uncorrelated competitions from multiple function dependence groups, zero or negligible failure propagation time, and deterministic failure isolation effect. This paper advances the state of the art by proposing a combinatorial reliability model for systems undergoing correlated, probabilistic competitions and random failure propagation time for dependent components. A case study of a wireless body area network system for patient monitoring is performed to illustrate the proposed methodology and effects of different model parameters on the system reliability.

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“…Each shock in their model acts directly on the failure rate of an item resulting in the corresponding stochastic intensity process and causes additional “damage,” which can be attributed to a short drop in the output or other adverse consequences. Qiu et al presented formulas on system availability considering the dependence between different failure modes; Levitin and Finkelstein investigated the optimal mission abort policy for systems in a random environment with variable shock rate; Yang et al considered the case where shock damage can increase the system hazard rate and cause abrupt degradation increment.…”

Section: Introductionmentioning

confidence: 99%

“…This is motivated by the fact WTS is usually operating in harsh environment and suffers from various shocks such as strong wind, earthquake, and thunder. Therefore, the corresponding research is of theoretical and practical interest to WTS researchers, eg, …”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the corresponding research is of theoretical and practical interest to WTS researchers, eg,. [25][26][27] The main contributions of this paper to the existing scientific literature and engineering practice are as follows. (a) Developing a novel stochastic failure process model by considering the impact of both random shocks and preventive repair.…”

Section: Introductionmentioning

confidence: 99%

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Preventive maintenance policy of single‐unit systems based on shot‐noise process

Qiu

Cui

Dong

2018

Quality & Reliability Eng

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This paper develops reliability and maintenance models for a single‐unit system subject to hard failures under random environment of external shocks. Motivated by the observations of shot‐noise process in practice, the impact of shock damage on system failure behavior is characterized by random hazard rate increments. To remove such negative impact, imperfect preventive repair is performed periodically, and preventive replacement is performed after several repairs. Considering the joint effects of both random shocks and imperfect repair on the system hazard rate, we derive recursive equations for the system reliability function. Furthermore, we investigate the optimal maintenance policy that minimizes the expected cost per unit time of the system. The applicability of the reliability and maintenance model is validated by a case study on a wind turbine system.

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Hybrid preventive maintenance of competing failures under random environment

Cited by 133 publications

References 34 publications

E‐maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services

E‐maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services

Reliability modeling of correlated competitions and dependent components with random failure propagation time

Preventive maintenance policy of single‐unit systems based on shot‐noise process

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