Inspection of overhead transmission line cables is performed using various non-destructive testing techniques, such as visual, temperature, and eddy current-based inspection; yet each of these techniques have their respective shortcomings and safety concerns. The use of ultrasonic guided waves as a nondestructive testing technique is well established for simple geometries such as plates, pipes, and rods. However, its application for multi-wire cables is still in development. In this study, ultrasonic guided waves excited by a shear mode transducer collar are utilised as a defect detection technique for untensioned aluminium conductor steel reinforced cable specimens. The identification and analysis of wave propagation for a broad range of frequencies is performed using a laser scanning vibrometer, and the effect of defect size on wave propagation is studied. Signal processing algorithms, such as wavelet denoising and time scaling, are then deployed for inspection quality enhancement and analysis under noisy conditions. Results yield an extended range of defect detection coverage in pulse echo configuration; with successful detection of defects that correspond to a 4.5% reduction in the cable's cross sectional area; and up to 24% improvement of signal-to-noise ratio. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Tat Chee Ave, Hong Kong 999077, Peoples R ChinaXian Univ Sci & Technol, Sch Mech Engn, Xian 710054, Shaanxi, Peoples R China
机构:
Univ Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USAUniv Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USA
Mariani, Stefano
Nguyen, Thompson V.
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Univ Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USAUniv Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USA
Nguyen, Thompson V.
Zhu, Xuan
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Univ Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USAUniv Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USA
Zhu, Xuan
di Scalea, Francesco Lanza
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Univ Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USAUniv Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USA
di Scalea, Francesco Lanza
Fateh, Mahmood
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Fed Railroad Adm, Off Res & Dev, Washington, DC 20590 USAUniv Calif San Diego, Dept Struct Engn, NDE & SHM Lab, La Jolla, CA 92093 USA
Fateh, Mahmood
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2015,
2015,
9435