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A survey of predictive maintenance: Systems, purposes and approaches
This paper highlights the importance of maintenance techniques in the coming industrial
revolution, reviews the evolution of maintenance techniques, and presents a comprehensive …
revolution, reviews the evolution of maintenance techniques, and presents a comprehensive …
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 …
Estimation of bearing remaining useful life based on multiscale convolutional neural network
Bearing remaining useful life (RUL) prediction plays a crucial role in guaranteeing safe
operation of machinery and reducing maintenance loss. In this paper, we present a new …
operation of machinery and reducing maintenance loss. In this paper, we present a new …
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …
approach for lifetime and remaining useful life (RUL) estimations for various health …
Mission risk control via joint optimization of sampling and abort decisions
Abstract Information‐driven mission abort is an effective way to control the failure risk of
safety‐critical systems during mission executions. We investigate the optimal sampling and …
safety‐critical systems during mission executions. We investigate the optimal sampling and …
A review on condition-based maintenance optimization models for stochastically deteriorating system
Condition-based maintenance (CBM) is a maintenance strategy that collects and assesses
real-time information, and recommends maintenance decisions based on the current …
real-time information, and recommends maintenance decisions based on the current …
Research on a remaining useful life prediction method for degradation angle identification two-stage degradation process
Z Wang, Y Ta, W Cai, Y Li - Mechanical Systems and Signal Processing, 2023 - Elsevier
Two-stage prediction methods based on Wiener processes are widely used to describe the
degradation process of components. However, a single type of drift function cannot …
degradation process of components. However, a single type of drift function cannot …
A two-phase preventive maintenance policy considering imperfect repair and postponed replacement
This paper investigates a novel two-phase preventive maintenance policy for a single-
component system with an objective of maximizing the revenue generated by the …
component system with an objective of maximizing the revenue generated by the …
Optimal condition-based mission abort decisions
Failures of safety-critical mission-based systems, such as aircraft and submarines, could
result in significant losses and damage. To enhance the survivability of such systems, their …
result in significant losses and damage. To enhance the survivability of such systems, their …
The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance
Recent developments in condition monitoring technology have led to an ongoing shift from
time-based maintenance (TBM) to condition-based maintenance (CBM). Although CBM …
time-based maintenance (TBM) to condition-based maintenance (CBM). Although CBM …