Abstract
In this paper, the method of detecting the overload of the induction motors (IMs) by applying moving average filter of the stator current in the time domain, was suggested. This method can be analyzed as the part of the analysis of the motor current signature analysis (MCSA). The stator current is analysed as the signal and it is divided into regular intervals – windows, within moving average filter applied. The minimum length of the moving window is determined by the sampling frequency detector, as well as the frequency of the stator current. The better resolution of peaks in moving average filter, can be achieved by the greater length of moving window. This is particularly important in areas of variable torque induction motor. This opens the possibility of detecting finer changes in the value of the stator current. It is shown that within the time window of changes in load of IMs, the signal of stator current becomes non-stationary. Otherwise, it is stationary. The changes of stationarity of the signal could be the alarm of overload of induction motor. The advantage of this method is improved response time of detector due to changes in the stator current. Software solution of proposed method is relatively simple: time series of the stator current is mapped according to the action of the moving average filter in different time series, suitable for use in real-time.
Highlights
Electric motors are widespread and irreplaceable in various industries and production activities
All control techniques of induction motors (IMs) can be divided into two categories: classical or traditional techniques and techniques based on the use of computers and microprocessors
It can be clearly seen that the trip below the threshold in Fig. 2d prior to the onset values of the stator current of overload of IMs
Summary
Electric motors are widespread and irreplaceable in various industries and production activities. Modern solutions based on the use of computers and microprocessors, include the conversion of analog signals into digital signals, so that the PC software decides whether to stop the engine [2], [3] The disadvantage of these methods is that it increases the price of the cost compared to the classical technique. Motor Current Signature Analysis (MCSA) is analysis technique of IMs current, which considered as a signals This method can detect some various types of damages of the motor and its overload [7], [8]. Determination of the boundaries of these segments (change point detection - CPD), is not simple and it is associated with the introduction of a series of parameters, dependent on the type of signal This further complicates the problem and especially its technical solution. These changes occur before the signal of stator current reaches its maximum, indicating the possibility of shortening the response time of the detector
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