원문정보
초록
영어
In this paper a novel approach to detect various faults occurring in the induction motor is presented. Both vibration and motor current signature analysis are performed to detect the mechanical and electrical faults. Multi-scale decomposition process using wavelet packet transform is performed on the obtained signal to extract the features. The extracted features are given to a classifier to identify whether a fault has occurred. If a fault exists, it identifies the fault location and isolates it. The various faults discussed in this paper are: mechanical faults— such as bearing faults and electrical faults occurring in the rotor and stator parts of an induction motor. Multiple Support Vector Machine using the one-against-others approach is used to obtain multi-class classification of fault.
목차
1. Introduction
2. Sensor
2.1. Acceleromter
2.2. MCSA
3. Wavelet Packet Transform
4. Support Vector Machine
4.1. Multi-class classification
4.2. One-against-others approach
4.3. Pair-wise coupling approach
4.4. Comparison between two structures
4.5. Synthesizing scheme
5. Results and Discussions
5.1. SETUP used in the experiment.
6. Conclusion
7. References