Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

J Lee, F Wu, W Zhao, M Ghaffari, L Liao… - Mechanical systems and …, 2014 - Elsevier
Much research has been conducted in prognostics and health management (PHM), an
emerging field in mechanical engineering that is gaining interest from both academia and …

A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications

J Singh, M Azamfar, F Li, J Lee - Measurement Science and …, 2020 - iopscience.iop.org
This article aims to present a comprehensive review of the recent efforts and advances in
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …

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 …

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine

HT Pham, BS Yang, TT Nguyen - Mechanical Systems and Signal …, 2012 - Elsevier
Machine performance degradation assessment and remaining useful life (RUL) prediction
are of crucial importance in condition-based maintenance to reduce the maintenance cost …

Bearing degradation process prediction based on the PCA and optimized LS-SVM model

S Dong, T Luo - Measurement, 2013 - Elsevier
Bearing degradation process prediction is extremely important in industry. This paper
proposed a new method to achieve bearing degradation prediction based on principal …

Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models

J Yu - Mechanical Systems and Signal Processing, 2011 - Elsevier
The sensitivity of various features that are characteristics of machine performance may vary
significantly under different working conditions. Thus it is critical to devise a systematic …

Anomaly detection for wind turbines based on the reconstruction of condition parameters using stacked denoising autoencoders

J Chen, J Li, W Chen, Y Wang, T Jiang - Renewable Energy, 2020 - Elsevier
This paper proposes an approach for detecting anomalies in a wind turbine (WT) based on
multivariate analysis. Firstly, the stacked denoising autoencoders (SDAE) model with …

Local and nonlocal preserving projection for bearing defect classification and performance assessment

J Yu - IEEE Transactions on Industrial Electronics, 2011 - ieeexplore.ieee.org
The sensitivity of various physical features that are characteristics of bearing performance
may vary significantly under different working conditions. Thus, it is critical to extract the most …

[图书][B] Trajectory similarity based prediction for remaining useful life estimation

T Wang - 2010 - search.proquest.com
The degradation process of a complex system may be affected by many unknown factors,
such as unidentified fault modes, unmeasured operational conditions, engineering variance …

[PDF][PDF] Prognostics enabled resilient control for model-based building automation systems

K Ji, Y Lu, L Liao, Z Song, D Wei - Proceedings of the 12th …, 2011 - researchgate.net
This paper proposes an intelligent Resilient Control Strategy (RCS) for Model-based
building control to improve the Building Automation System (BAS)'s performance against …