Condition-based maintenance (CBM) of industrial equipment is generally recognized as being the most cost-effective means for improving equipment availability. However, prerequisite to successful implementation of CBM is a reliable detector of failing components. One such detector, termed the effective negative-sequence impedance, had previously been identified as an indicator of induction motor...

Inductance profile has an important bearing on the performance of a Switched Reluctance Motor (SRM) This paper presents the results of a frequency respolse method to estimate the inductance profde of SRMs. Stator winding is energized by a variable voltage variable Frequency supply. An approximate equivalent circuit incorporating stator resistance, winding inductance and loss component has been ...

The online monitoring of induction motors is becoming increasingly important. The main difficulty in this task is the lack of an accurate analytical model to describe a faulty motor. A fuzzy logic approach may help to diagnose induction motor faults. This work presents a reliable method for the detection of stator winding faults (which make up 38% of induction motor failures) based on monitorin...

The aim of this study is to employ the wavelet technique for diagnosis of open-circuit and short circuit faults in the dc link of Induction motor drive. The symlet wavelet is selected as the wavelet base to perform stator current analysis during faults. In this method, the stator currents are used as an input to the system. The MATLAB software is used to process discreet wavelet transform (DWT)...

The numerous qualities of squirrel cage induction machines enhance their use in industry. However, various faults can occur, such as stator short-circuits and rotor failures. In this paper, we use a technique based on the spectral analysis of stator current in order to detect the fault in the machine: broken rotor bars. Thus, the number effect of the breaks has been highlighted. The effect is h...

Transformer protection is critical issue in power system as the issue lies in the accurate and rapid discrimination of magnetizing inrush current from internal fault current. Artificial neural network has been proposed and has demonstrated the capability of solving the transformer monitoring and fault detection problem using an inexpensive, reliable, and noninvasive procedure. This paper gives ...