A new method for early fault detection and diagnosis of broken rotor bars

作者：Aydin Ilhan^*; Karakose Mehmet; Akin Erhan

来源：Energy Conversion and Management, 2011, 52(4): 1790-1799.

DOI：10.1016/j.enconman.2010.11.018

• Motor current signature analysis
• Fault diagnosis
• Sliding window
• Hilbert transform
• Induction motors

A new method has been developed for the detection and diagnosis of broken rotor bars faults in three-phase induction motors under no-load conditions. Early detection of faults is made by using a sliding window constructed by Hilbert transforms of one of the phases of the thee-phase currents and the size of a fault is diagnosed by motor current signature analysis (MCSA) of the stored Hilbert transforms of several periods of one-phase current. The information entropy of a symbol tree generated by each sliding window is used as a fault index. The method was tested using healthy and damaged 0.37 kW induction motors under no-load conditions with applied voltages ranging from 220 V to 380 V. One and two broken rotor bars were detected under no-load conditions when supply voltages were 260 V and above. The results indicate that the method yields a high degree of accuracy in fault identification.

• 出版日期2011-4