Design and application of a novel method that contains RBF neural network and X-Y transform to detect bearing defects in three phase induction motors
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Abstract (EN)
DESIGN AND APPLICATION OF A NOVEL METHOD THAT CONTAINS RBFNEURAL NETWORK AND X-Y TRANSFORM TO DETECT BEARING DEFECTSIN THREE PHASE INDUCTION MOTORSIzzet Y. ÖNELElectrical Engineering, Ph. D. ThesisInduction motors are constituted 90% of all electrical motors in industrial applications, due totheir low cost, simple and robust structure and producibility in variety ratings. However,induction motors are the one of the critical parts in many industrial processes. That?s why,working the induction motors without failure and detect the failures before they occur havegreat importance. According to the results of the researches, 40-50% of the all failures thatoccurs in induction motors are bearing failures. Bearing failures occur, in inner or outer ringsor the rolling elements between inner and outer rings or the cage structure that keeps rollingelements together and same distance, because of the abrasion and the corrosion. In this aspect,the aim of the thesis is ?A system design that detects the bearing faults in three phaseinduction motors with their failure type automatically?. It has been guessed that an importantcontribution is provided to industry with this study.The study has been summarized in four sections.In the first section, after mentioning of the structure and the mathematical model of inductionmotor, reasons, indications and protection methods of the bearing failures that occur ininduction motors are mentioned.In the second section, the general information about artificial neural networks and theirapplication subjects are given and then the Radial Basis Artificial Neural Network structurewas told. After this, how to use the ANNs about the detection of failures in induction motorswith the samples in literature is discussed.In the third section, the details of the application and the results are given. In this section, theresults of FFT Transform analysis, Park?s Transform analysis and X-Y Transform analysismethods that are utilized to detect of bearing failures in induction motors are told.In the forth and the last section a comparison between the methods are made, and theadvantages and disadvantages of the proposed method is mentioned.Keywords: Induction motor, Bearing defect, ANN, X-Y Transform, Park?s TransformJURYDoç. Dr. İbrahim ŞENOL (Supervisor) Date : 16.02.2006Prof. Dr. Halit PASTACI Pages : 98Doç. Dr. Hadi SARULProf. Dr. A. Faik MERGENDoç. Dr. Nurettin UMURKAN
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İzzet Yılmaz Önel
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İzzet Yılmaz Önel (Doctorate thesis). Design and application of a novel method that contains RBF neural network and X-Y transform to detect bearing defects in three phase induction motors, 2005, Yıldız Technical University.
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