Induction motor broken rotor bars detection using fuzzy logic: experimental research

International Journal of System Assurance Engineering and Management(2013)

Cited 15|Views1
No score
Abstract
This paper proposes a new automated practical method for the diagnosis and detection of broken rotor bars in induction motor. This method uses only one stator current sensor. It is based in spectral analysis of stator current envelope (SCE) obtained via Hilbert transform. According to the fault diagnosis objective, two features are selected from the SCE spectrum: the amplitude of the 2 sf harmonic ( s is the slip and f the fundamental harmonic) representing the broken bars defect and the DC value. These features will be used as inputs of fuzzy logic block, where the decision about the state of rotor is made. The results obtained are very satisfactory and the diagnostic system is capable to detect the correct number of broken bars.
More
Translated text
Key words
Diagnosis,Induction motor,Hilbert transforms,Broken bars,Faults,Fuzzy logic
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined