New approach of broken rotor bar detection in induction motor based on adaptive stochastic resonance

作者：Li Tian Yun^*; Li Guang; Yang Chun Ling; Zhang Chun Hong

来源：Proceedings of the CSEE, 2007, 27(15): 88-92.

• Hilbert modulus
• Rotor bar breaking fault
• Stochastic resonance

Broken rotor bar detection in induction motor is a problem of detecting weak signal in heavy noise. In different slips, stator current have different rotor fault characteristic frequencies. As a consequence, it is more difficult to get the optimal system parameters of stochastic resonance. To solve these problems, a new method is proposed on the basis of the traditional Hilbert modulus. This technique improves the detecting sensitivity of broken rotor bar fault by employing wavelet transform and adaptive stochastic resonance. The self-regulating of stochastic resonance parameters enhance the practicability of this method. Compared with traditional way, this method can detect rotor fault more effectively in many conditions with better adaptability, especially in the case of unknowing the noise intensity, type of electric machine and running status. The simulations and experimental results prove the availability of this technique.

• 出版日期2007