Research on Fault Diagnosis Based on Wavelet Packet Multi-class Classification SVM
- Resource Type
- Conference
- Authors
- Xu, Xiaogang; Wang, Songling; Li, Fei; Wu, Zhengren; Sun, Wei
- Source
- 2010 International Conference on Manufacturing Automation Manufacturing Automation (ICMA), 2010 International Conference on. :164-167 Dec, 2010
- Subject
- Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Kernel
Training
Classification algorithms
Support vector machine classification
Accuracy
Wavelet packets
pattern matching
rotating machine
DAGSVM
fault diagnosis
wavelet packet
- Language
It’s still in search that how to apply SVM in muti-classify. Directed Acyclic Graph is easier to be computed and has better learning effect than other arithmetic. Experimental platform is used to simulate typical faults of circumrotate machines. Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method. DAGSVM is applied in classification, a "grid-search" is applied on C and using cross-validation. The classify effect is more veracious that of BP network.