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http://dx.doi.org/10.7734/COSEIK.2012.25.4.287

Local Fault Detection Technique for Steel Cable using Multi-Channel Magnetic Flux Leakage Sensor  

Park, Seunghee (성균관대학교 사회환경시스템공학과)
Kim, Ju-Won (성균관대학교 u-City공학과)
Lee, Changgil (성균관대학교 사회환경시스템공학과)
Lee, Jongjae (세종대학교 토목환경시스템공학과)
Gil, Heung-Bae (한국도로공사 도로교통기술원 건설환경연구실)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.25, no.4, 2012 , pp. 287-292 More about this Journal
Abstract
In this study, Multi-Channel Magnetic Flux Leakage(MFL) sensor - based inspection system was applied to monitor the condition of cables. This inspection system measures magnetic flux to detect the local faults(LF) of steel cable. To verify the feasibility of the proposed damage detection technique, an 8-channel MFL sensor head prototype was designed and fabricated. A steel cable bunch specimen with several types of damage was fabricated and scanned by the MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, magnetic flux signals were used to determine the locations of the flaws and the level of damage. Measured signals from the damaged specimen were compared with thresholds set for objective decision making. In addition, the magnetic flux density values measured from every channel were summed to focus on the detection of axial location. And, sum of flux density were displayed with threshold. Finally, the results were compared with information on actual inflicted damages to confirm the accuracy and effectiveness of the proposed cable monitoring method.
Keywords
magnetic flux leakage; local fault; steel cable; GEV distribution; cable climbing robot;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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