Reliability Analysis of Load-Sharing Systems Subject to Dependent Degradation Processes and Random Shocks

Che, Haiyang; Zeng, Shengkui; Guo, Jianbin

doi:10.1109/access.2017.2762727

Cited by 25 publications

(16 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The soft failures are mainly due to degradation processes and the hard failures are due to random shocks, while the degradation processes and random shocks may be dependent [18]. For example, MEMS may be a load-sharing system where multiple micro-engines work together to perform more reliably [4,13] and each micro-engine experiences dependent wear degradation and random shocks [18]. Based on the reliability testing experiments in [27], the dominant failure mechanism of micro-engine is determined as wear on rubbing surfaces which usually leads to either broken pin joints or seized micro-engines [29].…”

Section: Science and Technologymentioning

confidence: 99%

“…Many reliability models of k-out-of-n systems have been developed, which assume that components work independently [6,41]. However, many systems are load-sharing, such as micro-engines in a Micro-Electro-Mechanical System (MEMS) [4,13], common buses in a common bus performance sharing system [40], and gear pair systems in a machines transmission system [37], which makes the assumption of independent components unrealistic [10,24]. A common feature in a load-sharing system is that the workload is shared equally or unequally by the surviving components, and when a component fails, its load is distributed to the working components [32].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A reliability model for load-sharing k-out-of-n systems subject to soft and hard failures with dependent workload and shock effects

Che¹,

Zeng²,

Guo³

2020

Eksploatacja i Niezawodność – Maintenance and Reliability

Self Cite

View full text Add to dashboard Cite

A reliAbility model for loAd-shAring k-out-of-n systems subject to soft And hArd fAilures with dependent workloAd And shock effects model niezAwodności dlA systemów typu k-z-n z podziAłem obciążeniA podlegAjących uszkodzeniom pArAmetrycznym i kAtAstroficznym, w których zAchodzi zAleżność między obciążeniem prAcą A skutkAmi obciążeń losowych A component in a k-out-of-n system may experience soft and hard failures resulting from exposure to natural degradation and random shocks. Due to load-sharing characteristics, once a component fails, the surviving components share an increased workload, which increases their own degradation rates. Moreover, under the larger workload, random shocks may cause larger abrupt degradation increments and larger shock sizes. Therefore, the system experiences the dependent workload and shock effects (DWSEs). Such dependence will cause the load-sharing system to fail more easily, though it is often not considered in existing methods. In this paper, to evaluate the system reliability more accurately, we develop a novel reliability model for load-sharing k-out-of-n systems with DWSEs. In the model, the joint probability density function of shock effects to soft and hard failures is developed to describe the DWSEs on a component. To derive an analytical expression of system reliability with load-sharing characteristics and DWSEs, conditional probability density function is used to model the random component failure times. A load-sharing Micro-Electro-Mechanical System (MEMS) is then utilized to illustrate the effectiveness of the reliability model.

show abstract

Section: Science and Technologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A reliability model for load-sharing k-out-of-n systems subject to soft and hard failures with dependent workload and shock effects

Che¹,

Zeng²,

Guo³

2020

Eksploatacja i Niezawodność – Maintenance and Reliability

Self Cite

View full text Add to dashboard Cite

show abstract

“…Nevertheless, for sophisticated systems (such as semiconductor manufacturing, CNC lathe, and aerospace), multiple failure processes may exist, and the failure mechanisms may be much more complicated 3 . − 7 In a multistate system, the multiple failure processes are usually competing, and the failure processes may be dependent or independent, according to the multiple failure mechanisms 8 . − 11 Meanwhile, one of the sophisticated systems states may include many operation stages rather than a single stage 12,13 .…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling for multistage systems subject to competing failure processes

Lyu

Yang

Wang

et al. 2021

Quality & Reliability Eng

View full text Add to dashboard Cite

In this paper, a novel multistage reliability model is provided as systems are often divided into many stages according to system degradation characteristics. Multistage hard failure (caused by random shock) process (MHFP) and multistage soft failure (caused by random shock and continuous degradation) process (MSFP) are introduced to describe the competing failure processes, where either the MSFP or MHFP would break down the system. The shock processes impact the system in three ways: (1) fatal load shocks cause hard failure immediately in the hard failure process; (2) time shocks cause a hard failure threshold changing;(3) damage load shocks cause degradation level increasing in the soft failure process. In this paper, a density function dispersion method is carried out to address the multistage reliability model, and the effectiveness of the proposed models is demonstrated by reliability analysis with the one-stage model. Finally, the multistage model is applied to a case study, the degradation process is divided into three stages, and the hard failure threshold can be transmitted twice. The proposed model can be applied in other multistage situations, and the calculation method can satisfy the accuracy requirements.

show abstract

“…For the purpose of retaining systems with a high reliability and decreasing the huge losses caused by catastrophic failures, the significance of maintenance has been increasing greatly with the progressive innovation of modern technology in the past few decades [1]. Maintenance theories have been actually applied not only to manufacturing, industrial, and mechanical engineering but also to information, communication, and software engineering [2]. For advanced countries, maintenance will be more important even than production, manufacture, and construction on account that public infrastructure there has been finished and been rushed into an intensive maintenance period.…”

Section: Introductionmentioning

confidence: 99%

Extended Periodic Inspection Policies for a Single Unit System Subject to Shocks

2020

View full text Add to dashboard Cite

In this paper, two types of failures are taken into account to extend the classical periodic inspection policy for a single unit system when it has failed, in which type Ⅰ failure can be rectified by a minimal repair and type Ⅱ failure should be removed by a corrective replacement. More specifically, we investigate three extended periodic inspection models for a system subject to two kinds of distinctive shocks, i.e., a general periodic inspection model where the system is checked at periodic time epochs over an infinite time span (Policy A), a periodic inspection model with the consideration of quality warranty where the system is periodically checked within a maximal inspection number (Policy B), and a random periodic inspection model where the system is either periodically checked or randomly checked, whichever takes place first (Policy C). For each extended model, the average maintenance cost in one renewal cycle under special conditions is minimized to seek the optimal inspection interval theoretically and the numerical example is arranged to authenticate it analytically. Last but not least, comparisons are made among the extended models, indicating that the optimum solution varies from policy to policy.

show abstract

Reliability Analysis of Load-Sharing Systems Subject to Dependent Degradation Processes and Random Shocks

Cited by 25 publications

References 27 publications

A reliability model for load-sharing k-out-of-n systems subject to soft and hard failures with dependent workload and shock effects

A reliability model for load-sharing k-out-of-n systems subject to soft and hard failures with dependent workload and shock effects

Reliability modeling for multistage systems subject to competing failure processes

Extended Periodic Inspection Policies for a Single Unit System Subject to Shocks

Contact Info

Product

Resources

About