A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …
which aims to predict the remaining useful life (RUL) of machinery based on condition …
A Wiener-process-model-based method for remaining useful life prediction considering unit-to-unit variability
Remaining useful life (RUL) prediction has attracted more and more attention in recent years
because of its significance in predictive maintenance. The degradation processes of …
because of its significance in predictive maintenance. The degradation processes of …
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 …
Estimating remaining useful life with three-source variability in degradation modeling
XS Si, W Wang, CH Hu, DH Zhou - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The use of the observed degradation data of a system can help to estimate its remaining
useful life (RUL). However, the degradation progression of the system is typically stochastic …
useful life (RUL). However, the degradation progression of the system is typically stochastic …
A condition-based prognostic approach for age-and state-dependent partially observable nonlinear degrading system
Z Pang, T Li, H Pei, X Si - Reliability Engineering & System Safety, 2023 - Elsevier
To deal with age-and state-dependent degradation, unit-to-unit variability and partially
observable or hidden degradation in remaining useful life prediction jointly, this paper …
observable or hidden degradation in remaining useful life prediction jointly, this paper …
Integrating random shocks into multi-state physics models of degradation processes for component reliability assessment
We extend a multi-state physics model (MSPM) framework for component reliability
assessment by including semi-Markov and random shock processes. Two mutually …
assessment by including semi-Markov and random shock processes. Two mutually …
Product technical life prediction based on multi-modes and fractional Lévy stable motion
Some equipment degradation processes have long-range dependence (LRD) and multi-
modes characteristics. The multi-modes are caused by changes of the external environment …
modes characteristics. The multi-modes are caused by changes of the external environment …
Joint optimization of condition-based maintenance and production lot-sizing
H Peng, GJ van Houtum - European Journal of Operational Research, 2016 - Elsevier
Due to the development of sensor technologies nowadays, condition-based maintenance
(CBM) programs can be established and optimized based on the data collected through …
(CBM) programs can be established and optimized based on the data collected through …
A reliability model for systems subject to mutually dependent degradation processes and random shocks under dynamic environments
Q Liang, Y Yang, C Peng - Reliability Engineering & System Safety, 2023 - Elsevier
The performance of many products may be simultaneously governed by multiple internal
degradation processes, random shocks, and dynamic environments. This article presents a …
degradation processes, random shocks, and dynamic environments. This article presents a …