Reliability of sliding window systems with two failure modes

Lu, Shaoqi; Shi, Dongyan; Xiao, Hui

doi:10.1016/j.ress.2019.03.042

Cited by 23 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, many practical systems are usually subject to different types of failures such as strength failure and fatigue failure. 36 Another direction of future work can be devoted to studying the SWS with phased missions subject to multiple failure modes.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Optimal allocation of multi-state elements in a sliding window system with phased missions

Kou

Gao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part O:

Self Cite

View full text Add to dashboard Cite

Many real-world engineering systems such as aerospace systems, intelligent transportation systems and high-performance computing systems are designed to complete missions in multiple phases. These types of systems are known as phased-mission systems. Inspired by an industrial heating system, this research proposes a generalized linear sliding window system with phased missions. The proposed system consists of N nodes with M multi-state elements that are subject to degradation. The linear sliding window system fails if the cumulative performance of any r consecutive nodes is less than the pre-determined demand in any phase. The degradation process of each element is modeled by a continuous-time Markov chain. A novel reliability evaluation algorithm is proposed for the linear sliding window system with phased missions by extending the universal generating function technique. Furthermore, the optimal element allocation strategy is determined using the particle swarm optimization. The effectiveness of the proposed algorithm is confirmed by a set of numerical experiments.

show abstract

Section: Resultsmentioning

confidence: 99%

“…34 Moreover, reliability evaluation methods of SWSs considering two failure modes have been studied. 35,36 Besides, the SWS with common bus has been proposed to improve the system reliability. 37…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of multi-state elements in a sliding window system with phased missions

Kou

Gao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part O:

Self Cite

View full text Add to dashboard Cite

show abstract

“…In practice, a system may fail due to multiple types of failures that are independent from each other [18]- [20]. If a failure is instantaneous and has the characteristic of self-announcement, it is referred to as a hard failure.…”

Section: T Agementioning

confidence: 99%

Optimal Inspection Policy for a Single-Unit System Considering Two Failure Modes and Production Wait Time

et al. 2023

Self Cite

View full text Add to dashboard Cite

In many real production systems, a system may be stopped due to a lack of demand or exhaustion of raw materials. This is known as production wait and provides a good opportunity for maintenance. Meanwhile, the increased complexity of the modern machines brings new challenges for modeling and analyzing their failure behaviors. To address these real-world problems, this article considers a single-unit system that may fail due to either hard failures or soft failures. The wait time of a system is utilized to conduct inspections and maintenance. The system is replaced when a defect is found during an inspection, a failure occurred or a prespecified age threshold is reached, whichever comes first. The cost model, which is the long-run maintenance cost per unit of time, is derived. The optimal periodical inspection interval and the threshold age to minimize the long run maintenance cost per unit of time is then obtained. A case study is conducted to demonstrate the proposed maintenance model. The study shows using the proposed maintenance model can reduce the cost. Sensitivity analysis illustrates how each cost parameter affects the optimal inspection interval and the optimal age threshold.

show abstract

“…In particular, the Universal Generating Function method (UGF), introduced in [15] and described in more detail in books like [16], uses the exponents and coefficients of polynomial-like structures to encode the performance distribution and probabilities of multi-state systems. The UGF method is very flexible and has been applied to several types of multi-state systems, see for instance [17] for a recent example.…”

Section: Algebraic Reliability Of Coherent Systemsmentioning

confidence: 99%

A C++ class for algebraic reliability computations

Bigatti,

Pascual-Ortigosa,

Sáenz-de-Cabezón

2021

Preprint

View full text Add to dashboard Cite

We present the design and implementation of a C++ class for reliability analysis of multi-state systems using an algebraic approach based on monomial ideals. The class is implemented within the open-source CoCoALib library and provides functions to compute system reliability and bounds. The algorithms we present may be applied to general systems with independent components having identical or non-identical probability distributions.

show abstract

Reliability of sliding window systems with two failure modes

Cited by 23 publications

References 32 publications

Optimal allocation of multi-state elements in a sliding window system with phased missions

Optimal allocation of multi-state elements in a sliding window system with phased missions

Optimal Inspection Policy for a Single-Unit System Considering Two Failure Modes and Production Wait Time

A C++ class for algebraic reliability computations

Contact Info

Product

Resources

About