Detection of Rotor Faults in Brushless DC Motors Operating Under Nonstationary Conditions
There are several applications where the motor is operating in continuous nonstationary operating conditions. Actuators and servo motors in the aerospace and transportation industries are examples of this kind of operation. Detection of faults in such applications is, however, challenging because of...
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| Veröffentlicht in: | IEEE transactions on industry applications 2006-11, Vol.42 (6), p.1464-1477 |
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| container_title | IEEE transactions on industry applications |
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| creator | Rajagopalan, S. Aller, J.M. Restrepo, J.A. Habetler, T.G. Harley, R.G. |
| description | There are several applications where the motor is operating in continuous nonstationary operating conditions. Actuators and servo motors in the aerospace and transportation industries are examples of this kind of operation. Detection of faults in such applications is, however, challenging because of the need for complex signal processing techniques. Two novel methods using windowed Fourier ridges and Wigner-Ville-based distributions are proposed for the detection of rotor faults in brushless dc motors operating under continuous nonstationarity. Experimental results are presented to validate the concepts and illustrate the ability of the proposed algorithms to track and identify rotor faults. The proposed algorithms are also implemented on a digital signal processor to study their usefulness for commercial implementation |
| doi_str_mv | 10.1109/TIA.2006.882613 |
| format | Article |
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Actuators and servo motors in the aerospace and transportation industries are examples of this kind of operation. Detection of faults in such applications is, however, challenging because of the need for complex signal processing techniques. Two novel methods using windowed Fourier ridges and Wigner-Ville-based distributions are proposed for the detection of rotor faults in brushless dc motors operating under continuous nonstationarity. Experimental results are presented to validate the concepts and illustrate the ability of the proposed algorithms to track and identify rotor faults. 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(IEEE) 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-adb2afdaf040f28b1318281f7e90bc08cdbc603f9cdd2ff00fa495745d5872a83</citedby><cites>FETCH-LOGICAL-c320t-adb2afdaf040f28b1318281f7e90bc08cdbc603f9cdd2ff00fa495745d5872a83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4012305$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4012305$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rajagopalan, S.</creatorcontrib><creatorcontrib>Aller, J.M.</creatorcontrib><creatorcontrib>Restrepo, J.A.</creatorcontrib><creatorcontrib>Habetler, T.G.</creatorcontrib><creatorcontrib>Harley, R.G.</creatorcontrib><title>Detection of Rotor Faults in Brushless DC Motors Operating Under Nonstationary Conditions</title><title>IEEE transactions on industry applications</title><addtitle>TIA</addtitle><description>There are several applications where the motor is operating in continuous nonstationary operating conditions. Actuators and servo motors in the aerospace and transportation industries are examples of this kind of operation. Detection of faults in such applications is, however, challenging because of the need for complex signal processing techniques. Two novel methods using windowed Fourier ridges and Wigner-Ville-based distributions are proposed for the detection of rotor faults in brushless dc motors operating under continuous nonstationarity. Experimental results are presented to validate the concepts and illustrate the ability of the proposed algorithms to track and identify rotor faults. 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| ispartof | IEEE transactions on industry applications, 2006-11, Vol.42 (6), p.1464-1477 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Actuators Aerospace industry Algorithms Brushless DC motors Brushless motors Condition monitoring DC motors Direct current eccentricity electric machines Electric motors Fault detection Faults Motors nonstationary rotor faults Rotors Servomechanisms Servomotors Signal processing Signal processing algorithms spectrogram Transportation Wigner-Ville distribution (WVD) |
| title | Detection of Rotor Faults in Brushless DC Motors Operating Under Nonstationary Conditions |
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