Abstract
Induction motors are widely used prime movers for rotating machinery in most of the industrial applications. Reliability of the induction motors plays a significant role in reduction in downtime of the machinery. Proper diagnostic procedures are to be followed to assess the condition of the motor. Based on the literature, it is found that the vibration analysis is mostly used for diagnosis of rotating systems. However, industrial experiences reveal that potential motor failures have been observed very frequently even with proper vibration based condition monitoring. Therefore, this paper focuses on further investigations of whether the vibration monitoring stand alone can properly diagnose the presence of faults such as eccentricity in an induction motor or any other alternative technique should be employed in addition to the vibration monitoring for better diagnosis. In this paper, experimental investigations have been carried out to monitor the changes in the vibration and current spectrum of an eccentric motor in its decoupled and coupled state with a healthy rotor system.
Highlights
Condition monitoring techniques have been successfully used by many industries to diagnose and identify the causes of machinery failures at incipient stages of their development so as to plan adequate maintenance actions at appropriate time
The focus of this paper is on the need of a proper health monitoring system for assessment of the operational condition of industrial prime-movers such as an induction motor
It is found in the present experimental study that even though vibration monitoring is an effective method for health assessment of rotating machines, including electric motors, it is not capable of identifying eccentricity fault in the electric motors when it is coupled to the rotating system
Summary
Condition monitoring techniques have been successfully used by many industries to diagnose and identify the causes of machinery failures at incipient stages of their development so as to plan adequate maintenance actions at appropriate time. Many review papers on condition monitoring of the rotating machinery and induction motors are present in the literature Motor current signature analysis (MCSA) is a widely used non-invasive technique like vibration monitoring for fault detection in electric drives. The MCSA is a non invasive online monitoring technique which is used for detecting various faults like broken rotor bar, eccentricity, bearing, misalignment and shorted turn Mechanical related faults for induction motors are rotor and wavelet analysis of stator current for broken rotor bar broken bars, rotor eccentricity, bearing faults, bent rotor detection. A mathematical model has been presented to study the mixed air gap eccentricity in an induction motor by calculating the severity of static and dynamic eccentricity at different load conditions S : slip, p : no. of pole pairs and nws : 1,3,5,7
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