Online Identification and Localization of Aviation Cable Defects Based on Enhanced Spread Spectrum Time Domain Reflectometry

Aviation cables are highly susceptible to defects under the long-term influence of extreme environments. If these defects are not promptly detected and addressed, they can lead to severe safety incidents. This paper presents an enhanced spread spectrum time domain reflectometry (ESSTDR) for the online identification and localization of aviation cable defects. Firstly, a two-dimensional finite element model of cables with insulation and shielding layer damages is established. The severity of cable defects is quantitatively set to analyze the variation patterns of the cable's characteristic impedance. Secondly, an ESSTDR is developed by integrating interference wave elimination and time-frequency cross-correlation with spread spectrum time domain reflectometry (SSTDR). Through a combined simulation of the finite element model and circuit model, the online identification and localization of cable defects based on ESSTDR are theoretically achieved. Finally, an experimental platform is set up to conduct online identification and localization of different defects in various types of cables, verifying the effectiveness and superiority of the proposed method.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3560755
Citations
7
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
8.70

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article

Online Identification and Localization of Aviation Cable Defects Based on Enhanced Spread Spectrum Time Domain Reflectometry

Hongzhen Chen, Xu Hua, Zhendong Yin, Li Wang et al.
7 citations
IEEE Transactions on Instrumentation and Measurement
Industrial Vision Systems and Defect Detection
8.70
article

Online Identification and Localization of Aviation Cable Defects Based on Enhanced Spread Spectrum Time Domain Reflectometry

Hongzhen Chen, Xu Hua, Zhendong Yin, Li Wang, Hao Xu
article en
7 citations

Abstract

Aviation cables are highly susceptible to defects under the long-term influence of extreme environments. If these defects are not promptly detected and addressed, they can lead to severe safety incidents. This paper presents an enhanced spread spectrum time domain reflectometry (ESSTDR) for the online identification and localization of aviation cable defects. Firstly, a two-dimensional finite element model of cables with insulation and shielding layer damages is established. The severity of cable defects is quantitatively set to analyze the variation patterns of the cable's characteristic impedance. Secondly, an ESSTDR is developed by integrating interference wave elimination and time-frequency cross-correlation with spread spectrum time domain reflectometry (SSTDR). Through a combined simulation of the finite element model and circuit model, the online identification and localization of cable defects based on ESSTDR are theoretically achieved. Finally, an experimental platform is set up to conduct online identification and localization of different defects in various types of cables, verifying the effectiveness and superiority of the proposed method.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Shanghai Jiao Tong University (CN), Yangzhou University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Industrial Vision Systems and Defect Detection
8.70
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Online Identification and Localization of Aviation Cable Defects Based on Enhanced Spread Spectrum Time Domain Reflectometry — Hongzhen Chen, Xu Hua, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS