- Titel
- Efficient Fault Location and Characterization in Cable Networks with Known and Unknown Topologies
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-959332
- Schriftenreihe
- Scientific Reports on Measurement and Sensor Technology
- Bandnummer
- Volume 33
- Datum der Einreichung
- 09.10.2024
- Datum der Verteidigung
- 11.12.2024
- ISBN
- 978-3-96100-242-9
- E-ISBN
- 978-3-96100-243-6
- E-ISSN
- 2509-5110
- ISSN
- 2509-5102
- DOI
- https://doi.org/10.51382/978-3-96100-243-6
- Abstract (EN)
- This thesis addresses the identification of defects in transmission lines, emphasizing the importance of cable network reliability in critical industries like telecommunications, automotive, and aerospace. Cable faults are classified into hard and soft faults, both of which can lead to significant safety risks and financial losses. Effective fault prediction and localization are essential. We explore methods like time-domain reflectometry (TDR) and frequency-domain reflectometry (FDR) for fault location, noting their limitations in networks with parallel branches and unknown topology, particularly regarding soft faults. The thesis introduces three innovative cable diagnosis methods: 1. A cost-effective approach for detecting multiple hard faults in harnesses, using low-cost hardware that detects faults at 1 Hz, outperforming traditional reflectometry techniques. 2. A distributed reflectometry method for bus-shaped networks, employing analytical modeling and an adjacency matrix to resolve reflections and locate faults accurately. 3. A novel TDR algorithm for networks with unknown topology, reconstructing the topology iteratively through reflection analysis using a complex mathematical model. This method significantly enhances processing speed and accuracy. These methods address various industrial scenarios, ranging from low-risk environments to high-risk industries that require accurate soft fault location, establishing a foundation for future improvements in cable network diagnostics.
- Freie Schlagwörter (EN)
- Cable diagnosis, Cable faults identification, Network reconstruction, Transmission lines, Soft faults, Hard faults
- Klassifikation (DDC)
- 600
- 620
- 621
- 621.319
- 621.3192
- 621.3822
- Klassifikation (RVK)
- xxx
- Normschlagwörter (GND)
- Kabel
- Elektrische Leitung
- Fehlererkennung
- Topologie
- Signalverarbeitung
- Reflektometrie
- GutachterIn
- Prof. Dr. Olfa Kanoun
- Prof. Dr. Carlo Trigona
- BetreuerIn Hochschule / Universität
- Prof. Dr. Olfa Kanoun
- Verlag
- Universitätsverlag Chemnitz, Chemnitz
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Chemnitz, Chemnitz
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa2-959332
- Veröffentlichungsdatum Qucosa
- 10.06.2025
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0- Inhaltsverzeichnis
1 Introduction 2 Theoretical Background on Transmission Line Theory 3 State of the Art on Cable Fault Identification Techniques 4 Fault Location in Cable Networks with Known Topology 5 Fault Identification in Cable Networks with Unknown Topology 6 Conclusion and Outlook