Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings

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

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

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment

(2016) Linxia Liao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis

(2016) Pak Kin Wong et al.   NEUROCOMPUTING

Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring

(2016) Liang Guo et al.   SHOCK AND VIBRATION

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

(2016) Hongmei Liu et al.   SHOCK AND VIBRATION

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

Feature extraction and fault severity classification in ball bearings

(2014) Aditya Sharma et al.   JOURNAL OF VIBRATION AND CONTROL

Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

(2013) Zhipeng Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model

(2013) Manjeevan Seera et al.   IEEE Transactions on Neural Networks and Learning Systems

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT