Recent advances in prognostics and health management for advanced manufacturing paradigms
Manufacturing paradigms have played their important roles in modern industry. In recent 20
years, production systems of advanced manufacturing paradigms (eg mass customization …
years, production systems of advanced manufacturing paradigms (eg mass customization …
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 …
Predictive maintenance scheduling for multiple power equipment based on data-driven fault prediction
S Geng, X Wang - Computers & Industrial Engineering, 2022 - Elsevier
In view of the maintenance of multiple power equipment operating in abnormal conditions in
large-scale power plants, based on the prediction of fault state, a predictive maintenance …
large-scale power plants, based on the prediction of fault state, a predictive maintenance …
Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes
J Wang, X Zhang, J Zeng, Y Zhang - International Journal of …, 2020 - Taylor & Francis
With the rapid growth in wind turbine technology worldwide, the high operational and
maintenance costs of wind turbines have posed a major challenge to wind power operating …
maintenance costs of wind turbines have posed a major challenge to wind power operating …
Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations
The growing technological capability for real-time condition monitoring (CM) of industrial
equipment has spurred significant interest in methods for optimal maintenance planning …
equipment has spurred significant interest in methods for optimal maintenance planning …
Optimal maintenance service strategy for OEM entering competitive MRO market under opposite patterns
Increasing demand and high profitability of maintenance services in modern industry have
prompted original equipment manufacturers (OEMs) to enter maintenance, repair and …
prompted original equipment manufacturers (OEMs) to enter maintenance, repair and …
Long-term predictive opportunistic replacement optimisation for a small multi-component system using partial condition monitoring data to date
L Xiao, T Xia, E Pan, X Zhang - International Journal of Production …, 2020 - Taylor & Francis
The advanced condition monitoring tools and sensors have changed the decision making
on maintenance in modern manufacturing. To face the change, an integrated 'prognostics …
on maintenance in modern manufacturing. To face the change, an integrated 'prognostics …
Optimal degradation-based burn-in policy using Tweedie exponential-dispersion process model with measurement errors
In this paper, degradation-based burn-in for highly-reliable products subject to degradation
is studied. Since the common degradation models for burn-in are usually established on the …
is studied. Since the common degradation models for burn-in are usually established on the …
Degradation modeling and classification of mixed populations using segmental continuous hidden Markov models
With the market demands, the classification for highly reliable products becomes more and
more significant. The degradation data can provide information about the degradation states …
more significant. The degradation data can provide information about the degradation states …
An optimal burn-in policy for cellular phone lithium-ion batteries using a feature selection strategy and relevance vector machine
The early detection of defective lithium-ion batteries in cellular phones is critical due to the
rapid increase in popularity and mass production of cellular phones. It is essential for …
rapid increase in popularity and mass production of cellular phones. It is essential for …