Minimum Distance-Based Detection of Incipient Induction Motor Faults Using Rayleigh Quotient Spectrum of Conditioned Vibration Signal

Samanta, Anik KumarIIT Kharagpur, Adv Technol Dev Ctr, Kharagpur 721302, W Bengal, India. (author)

In this article, we propose a single-vibration sensor-based method for detecting incipient faults in squirrel cage induction motors (SCIMs). We consider defects in different parts of the bearing (inner raceway, outer raceway, cage train, and rolling element) and in a single bar of the rotor. The vibration signal is dominated by the fundamental rotational frequency and its harmonics. The dominant components result in numerical errors while estimating the relatively indistinct fault-specific spectral components. In this article, we precondition the vibration signal by suppressing multiple dominant components using an extended Kalman filter-based method. The suppression of the dominant components reduces the spectral leakage, exposes minute fault components, and improves the overall amplitude estimation. Subsequently, we estimate the fault frequency and amplitude using an accurate and low-complexity Rayleigh-quotient-based spectral estimator. The thresholds for fault detection are determined from a small number of healthy data, and an adaptive minimum distance-based detector is used for hypothesis testing. The proposed test improves detection and reduces false alarms under noisy conditions. We test the complete algorithm using data from a 22-kW SCIM laboratory setup. The proposed method has achieved 100% accuracy with the publicly available 12-kHz drive-end bearing data from Case Western Reserve University, Cleveland, OH, USA.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
Fault diagnosis
hypothesis testing
incipient faults
Kalman filter
Rayleigh quotient
signal conditioning
spectral estimation
squirrel cage induction motor (SCIM)
vibration analysis

Routray, AurobindaIIT Kharagpur, Dept Elect Engn, Kharagpur 721302, W Bengal, India. (author)
Khare, Swanand R.IIT Kharagpur, Dept Math, Kharagpur 721302, W Bengal, India. (author)
Naha, ArunavaUppsala universitet,Signaler och system(Swepub:uu)aruna171 (author)
IIT Kharagpur, Adv Technol Dev Ctr, Kharagpur 721302, W Bengal, India.IIT Kharagpur, Dept Elect Engn, Kharagpur 721302, W Bengal, India. (creator_code:org_t)

In:IEEE Transactions on Instrumentation and Measurement: Institute of Electrical and Electronics Engineers (IEEE)700018-94561557-9662

By the author/editor: Samanta, Anik Ku ...; Routray, Aurobin ...; Khare, Swanand R ...; Naha, Arunava

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Signal Processin ...

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