A New Fault Diagnosis Method of Bearings Based on Structural Feature Selection

A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching

(2019) Wentao Mao et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

A novel deep output kernel learning method for bearing fault structural diagnosis

(2018) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Time-frequency analysis method of bearing fault diagnosis based on the generalized S transformation

(2017) Jianhua Cai et al.   Journal of Vibroengineering

Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine

(2017) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis Using a Joint Model Based on Sparse Representation and SVM

(2016) Likun Ren et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

(2016) Xiaojie Guo et al.   MEASUREMENT

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

Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study

(2016) Wentao Mao et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

The Feature Selective Validation Technique as Analysis Tool for Shielding Effectiveness of Slotted Enclosures

(2015) Andrzej Rusiecki et al.   IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

(2015) Thomas W. Rauber et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

(2015) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks

(2012) Miguel Delgado Prieto et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine

(2012) Wentao Mao et al.   NEURAL COMPUTING & APPLICATIONS

LIBSVM

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

Multiscale Image Fusion Using Complex Extensions of EMD

(2009) D. Looney et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Application of relevance vector machine and logistic regression for machine degradation assessment

(2009) Wahyu Caesarendra et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING