Asenkron makinelerde stator yalıtım arızasının koherens analizi ile belirlenmesi

Uçar, Hasan Murat; Ayaz, Emine; Seker, Serhat
October 2009
ITU Journal Series D: Engineering;Oct2009, Vol. 8 Issue 5, p35
Academic Journal
Induction motors are the most frequently used components in almost every type of industrial processes. Early detection and isolation of faults that cause catastrophic system failure are crucial for more reliable and economic operation of industrial processes. For this reason, condition monitoring studies are performed for predictive maintenance purposes of the critical systems in most areas of the industry. Hence, sudden and unscheduled downtimes can be prevented by performing correct and timely maintenance activities using the information provided by condition monitoring studies. Through the statistical studies on induction motor failure distribution, it is reported that 40 % of all induction motor failures are caused by stator related faults such as insulation faults (Bonnett and Soukup, 1992). In the last two decades, the wide use of the motor drives based on the power electronics devices,caused current harmonics to occur and resulted in stator and bearing related problems. Hence, the use of motor drives creates some undesirable effects with the eventual failure of motors. In the related literature, there are several studies based on the stator degradation using the signal analysis methods for rotating machineries in recent years. Some of these investigators have reported the role of pulse-width modulated (PWM) devices on the stator winding insulation. They also indicate the effect of the even harmonics in the stator current of induction machines by using the spectral analysis approaches (Kueck, 2002; Filippetti, 2000). In this research, stator-winding insulation damage in induction motors is considered and fault features developed during the artificial aging process of the stator insulation are extracted from the collected data by the spectral analysis methods. Even harmonic effects are determined as a common feature between the phase currents and vibration signals using the coherence analysis and this feature indicates the stator insulation fault. This research is aimed to extract certain spectral features of the stator insulation damage based on an experimental study in the laboratory environment. This was determined by a signal processing application using the collected data. In order to get a database for induction motor failures from the experimental study, 5-HP, three phases, four poles induction motors are artificially aged by electrical methods. Several aging processes are performed. After each cycle of accelerated aging, the test motor was put on a motor performance test platform. From the experimental setup, high frequency data with a sampling frequency of 12 kHz were acquired and include 3-phase motor currents and voltages, rotor speed, torque, and six vibration measurements. The spectral analysis on the current signals is not so much informative. As an alternative approach, to determine the insulation failure, the cross approach which is defined between the current and vibration signals, is used. This new pproach is the calculation of coherence function between the motor current and vibration signals regarding to the initial and aged cases. Hence the following functional relationship is calculated and it shows the effective harmonics with the huge amplitudes to extract the failure information related to motor insulation. Through the coherence analysis between the current signal and torque measurements for the initial and aged cases, the existence of all the harmonic components like the even and odd harmonics of the fundamental frequency at 60 Hz was clearly observed.…


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