Three phase Squirrel Cage Induction Motors (SCIM) are continuously subjected to electrical, thermal, mechanical and environmental stresses in any industrial application. Such stresses can result in rotor bar damage. Due to such faults an unsymmetrical magnetic field will be setup and can lead to reduction in developed torque, increase in speed fluctuations, noise and vibrations. The present wor...

In this paper, a prototype wavelet and probabilistic based neural network classifier for recognizing rotor bar defects is implemented and tested under various transient signals. The wavelet transform (WT) technique is integrated with the neural network model to extract rotor fault features. Firstly, the multiresolution analysis technique of WT and the particle swarm optimization (PSO) theorem a...

Similarity measures are widely used in various applications such as information retrieval, image and object recognition, text retrieval, and web data search. In this paper, we propose similarity-based methods for defect detection on patterned textures using five different similarity measures, viz., Normalized Histogram Intersection Coefficient, Bhattacharyya Coefficient, Pearson Product-moment ...

This paper describes a general approach to constructing cooperative services that span multiple administrative domains. In such environments, protocols must tolerate both rational behaviors when nodes arbitrarily deviate from the protocol for their local benefit and Byzantine behaviors when a broken, misconfigured, or malicious node arbitrarily deviates from the protocol for any other reason. T...

It gives me great pleasure to deliver the keynote address at the Asian Bond Conference organised jointly by the Thai Bond Dealing Centre (Thai BDC), Fixed Income Money Market Dealers Association of India (FIMMDA) and Primary Dealers Association of India (PDAI). It is a matter of significance that some of the major self-regulatory organisations (SROs) in the debt markets of Asia have taken this ...

The requisite of direct-on-line (DOL) starting for various applications in underground mines subjects the rotor bars heavy-duty squirrel cage induction motors (SCIMs) to severe stresses, resulting sustained fault bars, unlike where mostly reduced voltage is preferred. Furthermore, SCIMs working are also affected by unforeseen frequency fluctuations. Hence, paper proposes a discrete wavelet tran...

The use of the Wavelet Transform for the diagnosis of electrical machines has been widely studied. The present paper explains the main four general approaches in which the Startup Current (SC) of an Squirrel Cage Induction Motor is analyzed using the Wavelet Transform, in order to detect bar breakages: to generate the scalogram of the SC, to calculate the wavelet ridges, to calculate the DWT co...

The induction motor is one of the most used electric machines in the industry because of its strong and simplicity. This paper investigates the performance of conventional techniques such as sideband analysis in detecting broken rotor bars when the motor is fed from a common pulse width modulation voltage source inverter PWM‐VSI drive for variable speed drives. The phase current signals are obt...

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...