A new method has been developed for the detection of broken rotor bars fault in squirrel cage induction motor during startup regimes. The incipient detection of fault is made by using DWT analysis of FIR low pass filtered original startup transient current signal. The extracted particular characteristic evolution of the time-varying signal is used as a fault index. The method was tested using h...

Induction motors are used worldwide as the “workhorse” in industrial applications. Although, these electromechanical devices are highly reliable, they are susceptible to many types of faults. Such fault can became catastrophic and cause production shutdowns, personal injuries, and waste of raw material. However, induction motor faults can be detected in an initial stage in order to prevent the ...

Broken rotor bars in an induction motor create asymmetries and result in abnormal amplitude of the sidebands around the fundamental supply frequency and its harmonics. Applying a spectrum analysis technique on motor current and inspecting the spectrum amplitudes at the broken rotor bar specific frequencies for abnormality is a well-known procedure for broken rotor bar fault detection and diagno...

This paper presents separation harmonics to discriminate rotor failure from low frequency load torque oscillations in three phase induction motors. The most common method for detecting broken rotor bar faults is to analyze the corresponding sidebands through motor current signature analysis (MCSA). If a motor is subjected to load fluctuation, then the oscillation related sidebands exhibit simil...

--The Motor Current Signature Analysis (MCSA) is considered the most popular fault detection method now a day because it can easily detect the common machine fault such as turn to turn short ckt, cracked /broken rotor bars, bearing deterioration etc. The present paper discusses the fundamentals of Motor Current Signature Analysis (MCSA) plus condition monitoring of the induction motor using MCS...

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...

Induction machines are the backbones of many industrial processes due to its robustness and reliability. Condition monitoring of induction motors is the process of monitoring the behavior of motor before significant change which leads to developing fault. Online fault diagnostics of induction motor is important, and its real function is to attempt to recognize the development of faults at an ea...

This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in ord...