A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

Triplet Loss Guided Adversarial Domain Adaptation for Bearing Fault Diagnosis

(2020) Xiaodong Wang et al.   SENSORS

A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery

(2020) Xiaoli Zhao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication

(2020) H.T. Shi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection

(2020) Xueyi Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm

(2020) Xingqiu Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory

(2019) Kun Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks

(2019) Huihui Miao et al.   IEEE Transactions on Industrial Informatics

Calculation of mesh stiffness of spur gears considering complex foundation types and crack propagation paths

(2019) Kangkang Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of planetary gearbox using a novel semi-supervised method of multiple association layers networks

(2019) Kai Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes

(2019) Xu Chang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

(2019) Xiang Li et al.   IEEE Transactions on Industrial Informatics

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

Application of weighted contribution rate of nonlinear output frequency response functions to rotor rub-impact

(2019) Y. Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems

(2019) Yi Qin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Combined Polynomial Chirplet Transform and Synchroextracting Technique for Analyzing Nonstationary Signals of Rotating Machinery

(2019) Kun Yu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

(2018) Shuhui Wang et al.   KNOWLEDGE-BASED SYSTEMS

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

(2018) Xiang Li et al.   NEUROCOMPUTING

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-synchrosqueezing Transform

(2018) Gang Yu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection

(2018) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

(2018) Xiaoli Zhao et al.   NEUROCOMPUTING

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

(2018) Xiang Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

(2018) Roozbeh Razavi-Far 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

Synchroextracting Transform

(2017) Gang Yu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2017) Luyang Jing et al.   MEASUREMENT

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

(2016) Jinglong Chen 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

Time-varying mesh stiffness calculation of cracked spur gears

(2014) Hui Ma et al.   ENGINEERING FAILURE ANALYSIS

Rényi Divergence and Kullback-Leibler Divergence

(2014) Tim van Erven et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

(2013) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

(2011) G.F. Bin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS