The evolution of system reliability optimization
Abstract System reliability optimization is a living problem, with solutions methodologies that
have evolved with the advancements of mathematics, development of new engineering …
have evolved with the advancements of mathematics, development of new engineering …
Some challenges and opportunities in reliability engineering
E Zio - IEEE Transactions on Reliability, 2016 - ieeexplore.ieee.org
Today's fast-pace evolving and digitalizing World is posing new challenges to reliability
engineering. On the other hand, the continuous advancement of technical knowledge and …
engineering. On the other hand, the continuous advancement of technical knowledge and …
Modeling dependent competing failure processes with degradation-shock dependence
In this paper, we develop a new reliability model for dependent competing failure processes
(DCFPs), which accounts for degradation-shock dependence. This is a type of dependence …
(DCFPs), which accounts for degradation-shock dependence. This is a type of dependence …
An integrated approach for system functional reliability assessment using Dynamic Bayesian Network and Hidden Markov Model
This paper presents a novel methodology to estimate and predict the functional reliability of
a system using system functional indicators and condition indicators of components. Instead …
a system using system functional indicators and condition indicators of components. Instead …
Reliability assessment for coherent systems operating under a generalized mixed shock model with multiple change points of the environment
X Zhao, X Qi, X Wang - Reliability Engineering & System Safety, 2023 - Elsevier
The operating environment of some industrial systems is complex and may change several
times. However, the latest literature about shock models only considered the case that the …
times. However, the latest literature about shock models only considered the case that the …
Technical data-driven tool condition monitoring challenges for CNC milling: a review
CNC milling is a highly complex machining process highly valued in various industries,
including the automotive and aerospace industries. With the increasing competition …
including the automotive and aerospace industries. With the increasing competition …
Bivariate analysis of incomplete degradation observations based on inverse Gaussian processes and copulas
Modern engineering systems are generally composed of multicomponents and are
characterized as multifunctional. Condition monitoring and health management of these …
characterized as multifunctional. Condition monitoring and health management of these …
Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning
A Yang, Q Qiu, M Zhu, L Cui, W Chen, J Chen - Reliability Engineering & …, 2022 - Elsevier
The condition-based maintenance (CBM) decision-making for redundant systems has
attracted increasing attention. Most existing studies are dedicated to k-out-of-n redundant …
attracted increasing attention. Most existing studies are dedicated to k-out-of-n redundant …
Reliability modeling for degradation-shock dependence systems with multiple species of shocks
H Gao, L Cui, Q Qiu - Reliability Engineering & System Safety, 2019 - Elsevier
In this research, reliability models are developed for systems or devices subject to
dependent competing soft and hard failure processes with degradation-shock dependences …
dependent competing soft and hard failure processes with degradation-shock dependences …
Collaborative online RUL prediction of multiple assets with analytically recursive Bayesian inference
By using in situ health information, many existing studies for online remaining useful life
(RUL) prediction adopt a stochastic process-based degradation model and a computation …
(RUL) prediction adopt a stochastic process-based degradation model and a computation …