The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for n...

In this paper, we propose an adaptive statistical time-frequency method to detect broken bars using digital torque estimation. The key idea in the proposed method is to transform motor current into a time-frequency spectrum to capture the time variation of the frequency components and to analyze the spectrum statistically to distinguish fault conditions from the normal operating conditions of t...

Abstract: This article presents a fault detection scheme for the case of a broken bar occurrence in a three phase induction motor. The proposed scheme relies on Set Membership Identification (SMI) and novel proposed boundary violation rules for the identified motor’s parameters. The model of the three phase induction motor is being transformed into an equivalent two phase model, described in th...

The detection of faults in a dynamic system can help to avoid severe damage where system reliability and safety are essential. An induction motor can fail either due to internal faults such as short circuit of motor leads; broken rotor bar and cracked rotor end rings or by external faults such as phase failure, asymmetry of main supply and mechanical overload (Karami et al 2010). Detection and ...

Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. The technology of artificial neural networks has been successfully used to solve the motor incipient fault detection problem. The characteristics, obtained by this technique, distinguish them from the traditional ones, which, in most cases, need that the machine which...

This paper presents an online trained Fuzzy logic system based on FPGA to fault detection of broken rotor bar for squirrel cage induction motor. Fuzzy logic approach may help to diagnose induction motor faults in remote site and transmit fault diagnosis (via GSM\GPRS cellular network technology) to maintenance office or a programmed cell phone. The motor current signal is analyzed through the F...

In the motor current signal, characteristic frequency of broken rotor bar (BRB) fault is modulated by supply and it decreases with decrease load, resulting to be easily buried under light load conditions. Teager-Kaiser energy operator (TKEO) has shown better performance detect BRB faults than classical methods, such as envelope analysis spectral analysis. However, original definition TKEO leads...