A novel shock-dependent preventive maintenance policy for degraded systems subject to dynamic environments and N-critical shocks

XiaoHua, Wei; Bai, Shengqiang; Wu, Bei

doi:10.1016/j.ress.2023.109535

Cited by 4 publications

(3 citation statements)

References 53 publications

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“…Liao et al (2023) [153] introduced the risk-based maintenance (RBM) approach, which serves as a guide for maximizing the maintenance plan and is based on the dependability of manufacturing process jobs. Wei et al (2023) [154] studied a linearly degraded system that was exposed to a series of external shocks as well as a dynamically changing operating environment. They used a continuous-time Markov process to characterize the random evolution of environments and an N-critical shock model to describe the limited shock resistance of shock absorbers.…”

Section: Maintenance and Maintainabilitymentioning

confidence: 99%

A review of components of reliability for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

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The control of processes is made smooth and effective by Programmable Logic Controllers (PLCs), which are essential to industrial automation. The assessment of PLCs' reliability is crucial since more and more sectors depend on them for crucial tasks. In-depth reviews of the components necessary to evaluate PLC system reliability are presented in this study. To ensure a robust review, the review first clarifies the basic concepts of reliability, highlighting the significance of system uptime and the ramifications of failures in industrial settings. Next, it examined the different elements that go into a PLC's overall reliability, such as availability, testability, and (maintenance and maintainability). The percentage of the reviewed papers that employed (maintenance and maintainability), testability, or availability to improve the reliability of PLC systems showed that, availability and (maintenance and maintainability) has been employed the most for enhancing system reliability, accounting for 32% each of publications analyzed, followed by testability, accounting for 28% respectively. The scatter chart that depicts the progression of reliability components from 2010 to 2023 also explained that the use of availability and (maintenance and maintainability) was increasing. This upward trend can be explained by the fact that repairable systems are heavily reliant on availability, whereas (maintenance and maintainability) tend to avoid unnecessary equipment breakdown and testability, which ensures the ease with which the functionality of any system or component can be ascertained with the required level of precision.

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Section: Maintenance and Maintainabilitymentioning

confidence: 99%

A review of components of reliability for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

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“…Most recently, an N-critical shock system appeared in 2023 in works by Wei et al. [ 17 ] and Dshalalow and Aljahani [ 12 ]. The authors of [ 17 ] also included shock-dependent maintenance.…”

Section: Introductionmentioning

confidence: 99%

“…[ 17 ] and Dshalalow and Aljahani [ 12 ]. The authors of [ 17 ] also included shock-dependent maintenance. In [ 12 ], Dshalalow and Aljahani worked with an aging process driven by a nonspecified monotone-increasing function

that crosses a threshold D at point

that can be observed only with some random delay, that is, at some epoch of time when the system’s failure can be verified.…”

Section: Introductionmentioning

confidence: 99%

Dependent Competing Failure Processes in Reliability Systems

Dshalalow,

Aljahani,

White

2024

Entropy

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This paper deals with a reliability system hit by three types of shocks ranked as harmless, critical, or extreme, depending on their magnitudes, being below H1, between H1 and H2, and above H2, respectively. The system’s failure is caused by a single extreme shock or by a total of N critical shocks. In addition, the system fails under occurrences of M pairs of shocks with lags less than some δ (δ-shocks) in any order. Thus, the system fails when one of the three named cumulative damages occurs first. Thus, it fails due to the competition of the three associated shock processes. We obtain a closed-form joint distribution of the time-to-failure, shock count upon failure, δ-shock count, and cumulative damage to the system on failure, to name a few. In particular, the reliability function directly follows from the marginal distribution of the failure time. In a modified system, we restrict δ-shocks to those with small lags between consecutive harmful shocks. We treat the system as a generalized random walk process and use an embellished variant of discrete operational calculus developed in our earlier work. We demonstrate analytical tractability of our formulas which are also validated, through Monte Carlo simulation.

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Lifetime prediction and replacement optimization for a standby system considering storage failures of spare parts

Zheng,

Ren,

Pei

et al. 2024

Reliability Engineering & System Safety

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A novel shock-dependent preventive maintenance policy for degraded systems subject to dynamic environments and N-critical shocks

Cited by 4 publications

References 53 publications

A review of components of reliability for the evaluation of Programmable logic controller

A review of components of reliability for the evaluation of Programmable logic controller

Dependent Competing Failure Processes in Reliability Systems

Lifetime prediction and replacement optimization for a standby system considering storage failures of spare parts

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