Related references
Note: Only part of the references are listed.Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
Gaowei Xu et al.
SENSORS (2019)
A novel gas turbine fault diagnosis method based on transfer learning with CNN
Shi-sheng Zhong et al.
MEASUREMENT (2019)
A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis
Yi Qin
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine
Shao Haidong et al.
KNOWLEDGE-BASED SYSTEMS (2018)
A novel approach for analog circuit fault diagnosis based on Deep Belief Network
Guangquan Zhao et al.
MEASUREMENT (2018)
A review on the application of deep learning in system health management
Samir Khan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis
Shenghao Tang et al.
NEUROCOMPUTING (2018)
A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
Sheng Guo et al.
SENSORS (2018)
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
Dong Wang et al.
IEEE ACCESS (2018)
Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
Zhuyun Chen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
Jaouher Ben Ali et al.
APPLIED ACOUSTICS (2015)
Time-Frequency Tracking of Spectral Structures Estimated by a Data-Driven Method
Timothee Gerber et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis
Myeongsu Kang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis
Xiaohang Jin et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)
Condition monitoring and fault diagnosis of planetary gearboxes: A review
Yaguo Lei et al.
MEASUREMENT (2014)
Exploiting sound signals for fault diagnosis of bearings using decision tree
M. Amarnath et al.
MEASUREMENT (2013)
Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method
ShuanFeng Zhao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference
Long Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)
N. Saravanan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Research on iterated Hilbert transform and its application in mechanical fault diagnosis
Yi Qin et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2008)
Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
Junyan Yang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition
V Purushotham et al.
NDT & E INTERNATIONAL (2005)