Abstract
Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of motor bearing faults based on induction motor stator current analysis. Tests were performed with three bearing conditions: baseline, outer race fault and inner race fault. Because the signals associated with faults produce small modulations to supply component and high nose levels, a modulation signal bispectrum (MSB) is used in this paper to detect and diagnose different motor bearing defects. The results show that bearing faults can induced a detestable amplitude increases at its characteristic frequencies. MSB peaks show a clear difference at these frequencies whereas conventional power spectrum provides change evidences only at some of the frequencies. This shows that MSB has a better and reliable performance in extract small changes from the faulty bearing for fault detection and diagnosis. In addition, the study also show that current signals from motors with variable frequency drive controller have too much noise and it is unlikely to discriminate the small bearing fault component.
Highlights
A general review of monitoring and fault diagnosis techniques are studied in [1, 2]
To evaluate the performance of power spectrum (PS) and modulation signal bispectrum (MSB) analysis, current signals were collected under three different motor conditions: healthy motor, outer race fault and inner race fault and under four successive load conditions: zero, 25%, 50% and 75% of full load, which allows the diagnostic performance to be examined at different loads and avoid any possible damage to the test system at the full load when the faults are simulated
The phase current signal is firstly examined under different supply cases
Summary
A general review of monitoring and fault diagnosis techniques are studied in [1, 2]. The different faults in an electrical machine can be classified as follows [3]:. Studies have shown that the common faults in induction motors (about 40%–50%) happen in rolling bearings, depending on the type of installation, the motor size, and the supply voltage [4]. In general it is due to manufacturing faults, lack of lubrication, installation errors and wear and tear. According to the affected elements, shown, bearing faults can be classified as inner ring, outer ring, ball element and cage faults. The rolling elements may be balls, cylindrical rollers, spherical rollers, tapered rollers or needle rollers. They rotate against the inner and outer ring raceways and transmit the load acting on the bearing via small surface contacts separated by a thin lubricating film. A Studyof Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals roundings
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
