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Journal ArticleDOI

Reliability and maintenance modeling for systems subjected to multiple dependent competing failure precesses

TLDR
In this article, a general reliability model is developed based on degradation and random shock modeling, which is then extended to a specific model for a linear degradation path and normally distributed shock load sizes and damage sizes.
Abstract
For complex systems that experience Multiple Dependent Competing Failure Processes (MDCFP), the dependency among the failure processes presents challenging issues in reliability modeling. This article, develops reliability models and preventive maintenance policies for systems subject to MDCFP. Specifically, two dependent/correlated failure processes are considered: soft failures caused jointly by continuous smooth degradation and additional abrupt degradation damage due to a shock process and catastrophic failures caused by an abrupt and sudden stress from the same shock process. A general reliability model is developed based on degradation and random shock modeling (i.e., extreme and cumulative shock models), which is then extended to a specific model for a linear degradation path and normally distributed shock load sizes and damage sizes. A preventive maintenance policy using periodic inspection is also developed by minimizing the average long-run maintenance cost rate. The developed reliability and ma...

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Citations
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Journal ArticleDOI

Reliability Analysis for Multi-Component Systems Subject to Multiple Dependent Competing Failure Processes

TL;DR: A new multi-component system reliability model is developed, and an age replacement policy and an inspection-based maintenance policy are applied for a system with multiple components that experience s-dependent competing failure processes.
Journal ArticleDOI

Reliability modeling for dependent competing failure processes with changing degradation rate

TL;DR: In this paper, the authors proposed reliability models for devices subject to dependent competing failure processes of degradation and random shocks with a changing degradation rate according to particular random shock patterns, and considered four different shock patterns that can increase the degradation rate: (i) generalized extreme shock model: when the first shock above a critical value is recorded; (ii) generalized δ-shock model: When the inter-arrival time of two sequential shocks is less than a threshold δ; (iii) generalized m-shock, when m shocks greater than a critical level are recorded; and
Journal ArticleDOI

Reliability and Maintenance Modeling for Dependent Competing Failure Processes With Shifting Failure Thresholds

TL;DR: Reliability models are developed for systems subject to multiple s-dependent competing failure processes with a changing, dependent failure threshold based on degradation and random shock modeling.
Journal ArticleDOI

Some Challenges and Opportunities in Reliability Engineering

TL;DR: In this article, the challenges and opportunities for reliability engineering are discussed in relation to degradation modeling and integration of multistate and physics-based models therein, accelerated degradation testing, component-, system- and fleet-wide prognostics and health management in evolving environments.
Journal ArticleDOI

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

TL;DR: In this article, an optimum condition-based maintenance (CBM) policy for continuously monitored degrading systems with multiple failure modes is developed, where the degradation of system state is described by a stochastic process, and a maintenance alarm is used to signal when the degradation reaches a threshold level.
References
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Book

Stochastic Processes

Journal ArticleDOI

Using Degradation Measures to Estimate a Time-to-Failure Distribution

TL;DR: In this article, the authors developed statistical methods for using degradation measures to estimate a time-to-failure distribution for a broad class of degradation models, using a nonlinear mixed-effects model and developing methods based on Monte Carlo simulation to obtain point estimates and confidence intervals for reliability assessment.
Journal ArticleDOI

Survival in Dynamic Environments

TL;DR: This expository paper is an overview of a relatively new class of failure models, both univariate and multivariate, that are suitable for describing the lifelength of items that operate in dynamic environments and may signal a new philosophy of life- testing experiments wherein one also monitors the environmental rules that govern the tests.
Book

The stress-strength model and its generalizations : theory and applications

TL;DR: A survey of applications theory and general estimation procedures for stress strength models can be found in this paper, along with examples and details on applications and their application in the context of point estimation and statistical inference.
Journal ArticleDOI

Maintenance of Continuously Monitored Degrading Systems

TL;DR: A realistic maintenance policy is investigated, referred to as condition-based availability limit policy, which achieves the maximum availability level of a continuously degrading systems under continuous monitoring.
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