Rolling Bearing Fault Diagnosis Using Neural Networks Based on Wavelet Packet-Characteristic Entropy

Weiguo Zhao; Lijuan Zhang; Xujun Meng

doi:10.1007/978-3-642-22691-5_74

ScienceGate Book Chapters

BOOK-CHAPTER

Rolling Bearing Fault Diagnosis Using Neural Networks Based on Wavelet Packet-Characteristic Entropy

Weiguo Zhao Lijuan Zhang Xujun Meng

Year: 2011 Communications in computer and information science Pages: 424-429 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-22691-5_74

Get Full-Text PDF Get Analytical Report

Keywords:

Wavelet Wavelet packet decomposition Network packet Fault (geology) Computer science Entropy (arrow of time) Eigenvalues and eigenvectors Artificial intelligence Artificial neural network Pattern recognition (psychology) Wavelet transform Computer network Physics Geology Thermodynamics Seismology

Metrics

Cited By

1.75

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Industrial Technology and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Rolling Bearing Fault Diagnosis Using Neural Networks Based on Wavelet Packet-Characteristic Entropy

Metrics

Citation History

Topics

Related Documents

Rolling Bearing Fault Diagnosis Based on Wavelet Packet- Neural Network Characteristic Entropy

Rolling Bearing Fault Diagnosis Based on Wavelet Packet Feature Entropy-MFSVM

Rolling Bearing Fault Diagnosis Based on Wavelet Packet and RBF Neural Network

Rolling Bearing Fault Diagnosis Based on Wavelet Packet Transform and Convolutional Neural Network

Fault Diagnosis of Rolling Bearing Based on Wavelet Packet and RBF Neural Network