Data-Driven Prognostic Scheme for Bearings Based on a Novel Health Indicator and Gated Recurrent Unit Network

A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing

(2021) Cheng-Geng Huang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions

(2021) Baokun Han et al.   MEASUREMENT

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

(2021) Adam Glowacz   SENSORS

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

(2021) Adam Glowacz et al.   APPLIED ACOUSTICS

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

(2021) M.M. Manjurul Islam et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis

(2021) Qing Ni et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Thermographic Fault Diagnosis of Ventilation in BLDC Motors

(2021) Adam Glowacz   SENSORS

Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network

(2021) Tingli Xie et al.   IEEE Transactions on Industrial Informatics

Similarity-based deep learning approach for remaining useful life prediction

(2020) Mengru Hou et al.   MEASUREMENT

A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences

(2020) Qing Ni et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

(2019) Cheng-Geng Huang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools

(2019) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Estimation of Bearing Remaining Useful Life based on Multiscale Convolutional Neural Network

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

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 weighted EMD-based prediction model based on TOPSIS and feed forward neural network for noised time series

(2017) Wang Jun et al.   KNOWLEDGE-BASED SYSTEMS

An integrated Gaussian process regression for prediction of remaining useful life of slow speed bearings based on acoustic emission

(2017) S.A. Aye et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

(2016) Yu Wang et al.   IEEE Transactions on Industrial Informatics

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

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

Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling

(2015) Xiaosong Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction for a Nonlinear Heterogeneous Wiener Process Model With an Adaptive Drift

(2015) Zeyi Huang et al.   IEEE TRANSACTIONS ON RELIABILITY

A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data

(2015) Jie Liu et al.   IEEE TRANSACTIONS ON RELIABILITY

A review on prognostic techniques for non-stationary and non-linear rotating systems

(2015) Man Shan Kan 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

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

Combined Probability Approach and Indirect Data-Driven Method for Bearing Degradation Prognostics

(2011) Wahyu Caesarendra et al.   IEEE TRANSACTIONS ON RELIABILITY

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING