A physics-informed deep learning approach for bearing fault detection

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

(2020) Moslem Azamfar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings

(2019) Mohammadkazem Sadoughi et al.   IEEE SENSORS JOURNAL

Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions

(2019) Md Junayed Hasan et al.   MEASUREMENT

A Data-Driven Approach for Bearing Fault Prognostics

(2019) Xiaohang Jin et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals

(2019) Moncef Soualhi et al.   MEASUREMENT

A deep learning method for online capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   Journal of Energy Storage

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   APPLIED ENERGY

An integrated approach to bearing prognostics based on EEMD-multi feature extraction, Gaussian mixture models and Jensen-Rényi divergence

(2018) Akhand Rai et al.   APPLIED SOFT COMPUTING

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

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

A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

(2018) Levent Eren et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Advanced bearing diagnostics: A comparative study of two powerful approaches

(2018) D. Abboud et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

Fault diagnosis of single-phase induction motor based on acoustic signals

(2018) Adam Glowacz   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

(2017) Baoping Cai et al.   IEEE Transactions on Automation Science and Engineering

Detection of Bearing Faults in Mechanical Systems Using Stator Current Monitoring

(2017) Sukhjeet Singh et al.   IEEE Transactions on Industrial Informatics

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

Low speed bearing fault diagnosis using acoustic emission sensors

(2016) Brandon Van Hecke et al.   APPLIED ACOUSTICS

Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery

(2016) Dongyang Dou et al.   APPLIED SOFT COMPUTING

Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series

(2016) Qing Li et al.   Entropy

A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System

(2016) Myeongsu Kang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

(2016) Jing Tian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine

(2016) Xiao-hui He et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Distributed bearing fault diagnosis based on vibration analysis

(2016) Boštjan Dolenc et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment

(2016) Jun Pan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks

(2016) Baoping Cai et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

(2016) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL

Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis

(2015) Yi Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Envelope deformation in computed order tracking and error in order analysis

(2014) Weidong Cheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-sensor data fusion using support vector machine for motor fault detection

(2012) Tribeni Prasad Banerjee et al.   INFORMATION SCIENCES

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Hilbert transform in vibration analysis

(2011) Michael Feldman   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing diagnostics—A tutorial

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

Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution

(2010) Baoping Tang et al.   RENEWABLE ENERGY

Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks

(2009) A. Sadeghian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine

(2008) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS