Analysis of electrical signatures in synchronous generators characterized by bearing faults /

Bibliographic Details
Main Author: Choi, Jae-won
Other Authors: Parlos, Alexander G. (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [College Station, Tex.] : [Texas A&M University], [2010]
Subjects:
Online Access:Link to OAK Trust copy

MARC

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040 |a TXA  |c TXA  |d UtOrBLW 
049 |a TXAM 
099 |a 2006  |a Thesis  |a 1969.1/ETD-TAMU-1145 
100 1 |a Choi, Jae-won. 
245 1 0 |a Analysis of electrical signatures in synchronous generators characterized by bearing faults /  |c by Jae-Won Choi. 
264 1 |a [College Station, Tex.] :  |b [Texas A&M University],  |c [2010] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a "Major Subject: Mechanical Engineering" 
500 |a Title from author supplied metadata (automated record created 2010-03-12 12:08:51). 
502 |b Master of Science  |c Texas A&M University  |d 2006  |o http://hdl.handle.net/1969.1/ETD-TAMU-1145 
504 |a Includes bibliographical references. 
516 |a Text (Thesis) 
520 3 |a Synchronous generators play a vital role in power systems. One of the major mechanical faults in synchronous generators is related to bearings. The popular vibration analysis method has been utilized to detect bearing faults for years. However, bearing health monitoring based on vibration analysis is expensive. One of the reasons is because vibration analysis requires costly vibration sensors and the extra costs associated with its proper installation and maintenance. This limitation prevents continuous bearing condition monitoring, which gives better performance for rolling element bearing fault detection, compared to the periodic monitoring method that is a typical practice for bearing maintenance in industry. Therefore, a cost effective alternative is necessary. In this study, a sensorless bearing fault detection method for synchronous generators is proposed based on the analysis of electrical signatures, and its bearing fault detection capability is demonstrated. Experiments with staged bearing faults are conducted to validate the effectiveness of the proposed fault detection method. First, a generator test bed with an in- situ bearing damage device is designed and built. Next, multiple bearing damage experiments are carried out in two vastly different operating conditions in order to obtain statistically significant results. During each experiment, artificially induced bearing current causes accelerated damage to the front bearing of the generator. This in-situ bearing damage process entirely eliminates the necessity of disassembly and reassembly of the experimental setup that causes armature spectral distortions. The electrical fault indicator is computed based on stator voltage signatures without the knowledge of machine and bearing specific parameters. Experimental results are compared using the electrical indicator and a vibration indicator that is calculated based on measured vibration data. The results indicate that the electrical indicator can be used to analyze health degradation of rolling element bearings in synchronous generators in most instances. Though the vibration indicator enables early bearing fault detection, it is found that the electrical fault indicator is also capable of detecting bearing faults well before catastrophic bearing failure. 
500 |a Electronic resource. 
650 4 |a Major mechanical engineering. 
653 |a Electrical Signatures 
653 |a Synchronous Generators 
653 |a Bearing Faults 
653 |a Analysis 
700 1 |a Parlos, Alexander G.,  |e thesis advisor. 
856 4 0 |u http://hdl.handle.net/1969.1/ETD-TAMU-1145  |z Link to OAK Trust copy  |t 0 
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952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |d Available Online  |t 0  |e 2006 Thesis 1969.1/ETD-TAMU-1145  |h Other scheme 
998 f f |a 2006 Thesis 1969.1/ETD-TAMU-1145  |t 0  |l Available Online