Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines

An integrated wind turbine failures prognostic approach implementing Kalman smoother with confidence bounds

(2018) Lotfi Saidi et al.   APPLIED ACOUSTICS

Prognostics and Health Management of Bearings Based on Logarithmic Linear Recursive Least-Squares and Recursive Maximum Likelihood Estimation

(2018) Xiongjun Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines

(2018) Jun Wu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models

(2018) Wasim Ahmad et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

(2018) Jingwen Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Novel Fault Prognostic Approach Based on Interacting Multiple Model Filters and Fuzzy Systems

(2018) Luciana Balieiro Cosme et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models

(2018) Wasim Ahmad et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

(2018) Dong Wang et al.   IEEE Access

A Modular Fault Diagnosis and Prognosis Method for Hydro-Control Valve System Based on Redundancy in Multisensor Data Information

(2018)   IEEE TRANSACTIONS ON RELIABILITY

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

The Use of Bearing Currents and Vibrations in Lifetime Estimation of Bearings

(2017) Rodney K. Singleton et al.   IEEE Transactions on Industrial Informatics

A Model-Based Method for Remaining Useful Life Prediction of Machinery

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON RELIABILITY

Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis

(2015) Myeongsu Kang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

(2015) Naipeng Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings

(2015) Rodney K. Singleton et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis

(2015) Myeongsu Kang et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Envelope analysis with a genetic algorithm-based adaptive filter bank for bearing fault detection

(2015) Myeongsu Kang et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

(2015) Jaouher Ben Ali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Frequency-domain assessment of gear-tooth bending-fatigue damage-progression using the average-log-ratio, ALR, algorithm

(2014) William D. Mark et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction

(2013) Linxia Liao   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System

(2013) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression

(2013) Theodoros H. Loutas et al.   IEEE TRANSACTIONS ON RELIABILITY

A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

(2012) Diego Alejandro Tobon-Mejia et al.   IEEE TRANSACTIONS ON RELIABILITY

Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle Filtering

(2010) Chaochao Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Estimation and forecasting of machine health condition using ARMA/GARCH model

(2009) Hong Thom Pham et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING