Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

IDENTIFYING DETERIORATED OR FOULED POWER SYSTEM COMPONENTS FROM RF EMISSIONS

Nam, Kyungin
http://rave.ohiolink.edu/etdc/view?acc_num=akron1575392915759184

Abstract Details

2019, Master of Science in Engineering, University of Akron, Electrical Engineering.
This thesis proposes a technique for identifying deteriorated or contaminated electrical equipment. The technique uses the harmonic components of demodulated radio frequency (RF) and ultrasonic emissions to detect partial discharge (PD) events from faulty or contaminated components. The technique uses the sum-of-squares of the magnitudes of the first five 60-Hz harmonic components of the demodulated RF signal to detect the presence of faulty power system components. A parabolic acoustic noise detector captures ultrasonic emissions to pinpoint the physical location of the faulty power system component or components that causes the detected RF emissions. The proposed technique is capable of detecting all emissions detected, as well as others not detected, by the current industry standard – The Exacter Trigger. It is also more compact and portable, and it uses less data, requires fewer computations, and consumes less power. Single-chip digital signal processor implementations of the proposed technique are extensively validated via laboratory and field tests.
J. Alexis De Abreu Garcia (Advisor)
Robert Veillette (Advisor)
Michael French (Committee Member)
93 p.
Electrical Engineering
Partial Discharge, RF emission, Ultrasonic emission, fault detection, FFT

Recommended Citations

Citations

  • Nam, K. (2019). IDENTIFYING DETERIORATED OR FOULED POWER SYSTEM COMPONENTS FROM RF EMISSIONS [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1575392915759184

    APA Style (7th edition)

  • Nam, Kyungin. IDENTIFYING DETERIORATED OR FOULED POWER SYSTEM COMPONENTS FROM RF EMISSIONS. 2019. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1575392915759184.

    MLA Style (8th edition)

  • Nam, Kyungin. "IDENTIFYING DETERIORATED OR FOULED POWER SYSTEM COMPONENTS FROM RF EMISSIONS." Master's thesis, University of Akron, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1575392915759184

    Chicago Manual of Style (17th edition)

akron1575392915759184
226
© 2019, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.