Wire Troubleshooting and Diagnosis: Review and Perspectives

Abstract

Abstract-Electrical cables of all types are subject to aggressive environments that can create defects or accelerate aging. Many application domains require diagnosis methods and tools. Among many methods, reflectometry has proven to be the best candidate and can be easily applied to the detection and localization of hard defects, while only requiring one access point to the wire. But soft defects are more difficult to track and require new powerful methods. This paper presents a review of the recent state of the art in the field of wired network diagnosis and shows the evolution of future activities in this domain. It provides new perspectives and new research domains are proposed.

Distributed Sensor Fusion for Wire Fault Location Using Sensor Clustering Strategy

“…These conditions cause the appearance of faults with different severity levels ranging from a simple fissure in the cable sheath to the crack of the cable. This has led to several researches related to diagnosis methods for fault detection and location such as X-ray, visual inspection, infrared thermal imaging, and continuity measurement [1]. Moreover, the complexity of wired networks has increased due to the appearance of the "X-by-Wire" technology, replacing mechanical and hydraulic components by programmable electronic systems for steering, braking, suspension, and so forth.…”

Contactless Modal Phenomena Based Approach to Detecting, Identifying, and Diagnosing of Electrical Connections

“…In this case, detection, identification, and diagnostics of electrical connections become urgent [1], especially for such areas as aeronautics and aerospace [2]. One of the ubiquitous techniques is reflectometry.…”

Time Reversal for Soft Faults Diagnosis in Wire Networks

“…-In a last step, two convolution products are calculated v r bis * v in and v rF bis * v in for correlating the signals which represent the propagation specificities of the line with and without fault, respectively, (5) and (6). Each convolution operation consist in obtaining the area overlap between the two voltages.…”

“…Several signal processing methods can be considered to improve fault localization in wire networks [1][2][3][4][5][6]. This research overcomes the limitations of standard wire diagnosis methods (i.e., time domain reflectometry (TDR)) by proposing a new signal processing method based on time reversal for detecting and locating the soft faults in a wire network.…”