Bearing Fault Diagnosis Based on the Switchable Normalization SSGAN with 1-D Representation of Vibration Signals as Input

The optimized deep belief networks with improved logistic Sigmoid units and their application in fault diagnosis for planetary gearboxes of wind turbines

(2018) Yi Qin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis

(2018) Shenghao Tang et al.   NEUROCOMPUTING

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

(2018) Sheng Guo et al.   SENSORS

Time–frequency analysis for bearing fault diagnosis using multiple Q-factor Gabor wavelets

(2018) Xin Zhang et al.   ISA TRANSACTIONS

An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN

(2018) Sheng Guo et al.   SENSORS

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

(2018) Chuan Li et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

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

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

An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising

(2016) Hongyu Cui et al.   NEUROCOMPUTING

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

Bearing faults diagnostics based on hybrid LS-SVM and EMD method

(2015) Xiaofeng Liu et al.   MEASUREMENT

Rolling bearing fault diagnosis using an optimization deep belief network

(2015) Haidong Shao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An application to transient current signal based induction motor fault diagnosis of Fourier–Bessel expansion and simplified fuzzy ARTMAP

(2013) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

Early Classification of Bearing Faults Using Morphological Operators and Fuzzy Inference

(2012) A. Santhana Raj et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network

(2012) Zhenyou Zhang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)

(2011) P. Konar et al.   APPLIED SOFT COMPUTING

Rolling element bearing fault diagnosis using wavelet transform

(2011) P.K. Kankar et al.   NEUROCOMPUTING

Development of EBP-Artificial neural network expert system for rolling element bearing fault diagnosis

(2010) Pratesh Jayaswal et al.   JOURNAL OF VIBRATION AND CONTROL

An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network

(2008) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Expert system development for vibration analysis in machine condition monitoring

(2006) Stephan Ebersbach et al.   EXPERT SYSTEMS WITH APPLICATIONS