Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems
KTP Nguyen, K Medjaher, C Gogu - Reliability Engineering & System Safety, 2022 - Elsevier
For dealing with uncertainty in Remaining Useful Life (RUL) predictions, numerous studies
in literature use stochastic models to characterize the degradation process and predict the …
in literature use stochastic models to characterize the degradation process and predict the …
Remaining useful life estimation based on nonlinear feature reduction and support vector regression
T Benkedjouh, K Medjaher, N Zerhouni… - … Applications of Artificial …, 2013 - Elsevier
Prognostics and health management (PHM) of rotating machines is gaining importance in
industry and allows increasing reliability and decreasing machines' breakdowns. Bearings …
industry and allows increasing reliability and decreasing machines' breakdowns. Bearings …
Prediction of hard failures with stochastic degradation signals using Wiener process and proportional hazards model
J Man, Q Zhou - Computers & Industrial Engineering, 2018 - Elsevier
In this paper, we propose a method to predict the remaining useful life (RUL) of systems
subject to hard failures, which are probabilistically linked to system degradation signals …
subject to hard failures, which are probabilistically linked to system degradation signals …
Machine health prognostics using survival probability and support vector machine
A Widodo, BS Yang - Expert Systems with Applications, 2011 - Elsevier
Prognostic of machine health estimates the remaining useful life of machine components. It
deals with prediction of machine health condition based on past measured data from …
deals with prediction of machine health condition based on past measured data from …
Remaining useful life prediction for complex systems with multiple indicators of stochastic correlation considering random shocks
B Wu, H Shi, J Zeng, X Zhang, Z Wang - Mechanical Systems and Signal …, 2023 - Elsevier
The remaining useful life (RUL) prediction in complex systems is subject to complex working
conditions, such as overloads, random vibration and shocks, gradual corrosion and wearing …
conditions, such as overloads, random vibration and shocks, gradual corrosion and wearing …
A data-level fusion model for developing composite health indices for degradation modeling and prognostic analysis
Prognostics involves the effective utilization of condition or performance-based sensor
signals to accurately estimate the remaining lifetime of partially degraded systems and …
signals to accurately estimate the remaining lifetime of partially degraded systems and …
Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity
Degradation modeling is critical for health condition monitoring and remaining useful life
prediction (RUL). The prognostic accuracy highly depends on the capability of modeling the …
prediction (RUL). The prognostic accuracy highly depends on the capability of modeling the …
Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance
This paper presents the application of a state space model (SSM) for prognostics of an
engineering system subject to degradation. A health index (HI) is inferred from a set of …
engineering system subject to degradation. A health index (HI) is inferred from a set of …
An improved Wiener process model with adaptive drift and diffusion for online remaining useful life prediction
H Wang, X Ma, Y Zhao - Mechanical systems and signal processing, 2019 - Elsevier
Remaining useful life (RUL) prediction plays an important role in the field of prognostics and
health management (PHM). Although several Wiener process models with adaptive drift …
health management (PHM). Although several Wiener process models with adaptive drift …
Sensory-updated residual life distributions for components with exponential degradation patterns
N Gebraeel - IEEE Transactions on Automation Science and …, 2006 - ieeexplore.ieee.org
Research on interpreting data communicated by smart sensors and distributed sensor
networks, and utilizing these data streams in making critical decisions stands to provide …
networks, and utilizing these data streams in making critical decisions stands to provide …