Fault detection based on continuous wavelet transform and sensor fusion in electric motors.
- Resource Type
- Article
- Authors
- Emine Ayaz; Ahmet Öztürk; Serhat Seker; Belle R. Upadhyaya
- Source
- COMPEL. Mar2009, Vol. 28 Issue 2, p454-470. 17p.
- Subject
- *INDUCTION motors
*GEOLOGIC faults
*FAULT indicators (Electricity)
*FAULT zones
*FREQUENCIES of oscillating systems
*SENSOR networks
*MONITORING of machinery
*MATHEMATICAL models
- Language
- ISSN
- 0332-1649
The article presents a study on the fault detection based on electric motors' sensor fusion and uninterrupted wavelet transform. The study extracted the vibration signals' features through induction motors' measurement employing the aging tests according to the test processes of the Institute of Electrical and Electronics Engineers (IEEE). The study determines the damage characterization between 2-4 kilohertz and the calculated some specific frequencies.