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 …
Remaining useful life estimation–a review on the statistical data driven approaches
XS Si, W Wang, CH Hu, DH Zhou - European journal of operational …, 2011 - Elsevier
Remaining useful life (RUL) is the useful life left on an asset at a particular time of operation.
Its estimation is central to condition based maintenance and prognostics and health …
Its estimation is central to condition based maintenance and prognostics and health …
Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy
In this paper, a hidden Markov model with auto-correlated observations (HMM-AO) is
developed to handle the degradation modeling of manufacturing systems. Unlike the …
developed to handle the degradation modeling of manufacturing systems. Unlike the …
Selective maintenance and inspection optimization for partially observable systems: An interactively sequential decision framework
Y Liu, J Gao, T Jiang, Z Zeng - IISE Transactions, 2023 - Taylor & Francis
Selective maintenance is an important condition-based maintenance strategy for multi-
component systems, where optimal maintenance actions are identified to maximize the …
component systems, where optimal maintenance actions are identified to maximize the …
Stochastic analysis of a standby system with waiting repair strategy
This paper investigates the reliability of a standby system incorporating waiting time to
repair. The considered system consists of two units, namely, the main unit and the standby …
repair. The considered system consists of two units, namely, the main unit and the standby …
Review of health prognostics and condition monitoring of electronic components
To meet the specifications of low cost, highly reliable electronic devices, fault diagnosis
techniques play an essential role. It is vital to find flaws at an early stage in design …
techniques play an essential role. It is vital to find flaws at an early stage in design …
Degradation modeling for real-time estimation of residual lifetimes in dynamic environments
This article presents a methodology for modeling degradation signals from components
functioning under dynamically evolving environment conditions. In situ sensor signals …
functioning under dynamically evolving environment conditions. In situ sensor signals …
Intermittent failure dynamics characterization
A Correcher, E García, F Morant… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Diagnosis of intermittent failures is relevant for productive processes which sustain a high
level of maintenance caused by failures. Systems including electrical contacts suffer a …
level of maintenance caused by failures. Systems including electrical contacts suffer a …
Dynamic reliability assessment for multi-state systems utilizing system-level inspection data
Y Liu, MJ Zuo, YF Li, HZ Huang - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Traditional time-based reliability assessment methods evaluate the reliability of a multi-state
system (MSS) from a population or a statistical perspective that the reliability of a system is …
system (MSS) from a population or a statistical perspective that the reliability of a system is …
A novel support vector regression method for online reliability prediction under multi-state varying operating conditions
Modeling the evolution of system reliability in the presence of Condition Monitoring (CM)
signals is an important issue for improved reliability assessment and system lifetime …
signals is an important issue for improved reliability assessment and system lifetime …