Reflectrometry based fault localization in automotive bus systems

Tengg, Allan; Hank, Peter

doi:10.1109/i2mtc.2012.6229648

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Each sensor has two functions which are: communication and diagnosis. Although the sensors communication importance is not really obvious in a one-branch wiring network as in this simulation case, but it plays a key role in a multi-branched wiring networks (i.e CAN or FlexRay networks [18]) as it permits to detect the unhealthy branch. Fig.6, were carefully constructed to use frequencies below and above the prohibited bandwidth.…”

Section: Simulation Resultsmentioning

confidence: 99%

On-line diagnosis using Orthogonal Multi-Tone Time Domain Reflectometry in a lossy cable

Hassen¹,

Auzanneau²,

Incarbone³

2013

10th International Multi-Conferences on Systems, Signals &Amp; Devices 2013 (SSD13)

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Currently, on-line wire diagnosis using reflectometry is under intensive investigation, aiming at detecting and locating faults on wiring networks while the target system is operating. The idea is to inject a broadband test signal in the network under test and analyse the signal reflected by each impedance discontinuity. However, the presence of native signals on live wires may impact the diagnosis due to interference and EMC or limited bandwidth constraints. Our proposed "Orthogonal MultiTone Time Domain Reflectometry"(OMTDR) method, based on Orthogonal Frequency Division Multiplexing (OFDM) technique, seems to be a suitable candidate for on-line diagnosis as it achieves high data rate transmission, interference robustness, bandwidth efficiency and complete spectrum control. Moreover, it allows communication among diagnosis sensors to accurately locate faults position in multi-branch wiring networks which require more than one diagnosis sensor.

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Section: Simulation Resultsmentioning

confidence: 99%

On-line diagnosis using Orthogonal Multi-Tone Time Domain Reflectometry in a lossy cable

Hassen¹,

Auzanneau²,

Incarbone³

2013

10th International Multi-Conferences on Systems, Signals &Amp; Devices 2013 (SSD13)

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“…The popularity of this technique has led to its use in demanding fields such as automotive [32] or aviation [33],…”

Section: B Tdr Techniquementioning

confidence: 99%

Modeling and Simulation of Time Domain Reflectometry Signals on a Real Network for Use in Fault Classification and Location

et al. 2023

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Today, the classification and location of faults in electrical networks remains a topic of great interest. Faults are a major issue, mainly due to the time spent to detect, locate, and repair the cause of the fault. To reduce time and associated costs, automatic fault classification and location is gaining great interest. State-of-the-art techniques to classify and locate faults are mainly based on line-impedance measurements or the detection of the traveling wave produced by the event caused by the fault itself. In contrast, this paper describes the methodology for creating a database and a model for a complex distribution network. Both objectives are covered under the paradigm of the time-domain pulse reflectometry (TDR) principle. By using this technique, large distances can be monitored on a line with a single device. Thus, in this way a database is shared and created from the results of simulations of a real and complex distribution network modeled in the PSCAD TM software, which have been validated with measurements from an experimental test setup. Experimental validations have shown that the combination of the TDR technique with the modeling of a real network (including the real injector and the network coupling filter from the prototype) provides high-quality signals that are very similar and reliable to the real ones. In this sense, it is intended firstly that this model and its corresponding data will serve as a basis for further processing by any of the existing state-of-the-art techniques. And secondly, to become a valid alternative to the already well-known Test Feeders but adapted to work groups not used to the electrical world but to the environment of pure data processing.

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“…Reflectometry is considered as the best method for wire diagnosis [2]. The sensor injects a test signal down the wire and then analyses the reflected one due to impedance discontinuities caused by likely existing faults [3], [4]. Nowadays, on-line diagnosis, aiming at detecting and locating faults continuously while wires in use are in-flight, is increasingly attractive.…”

Section: Introductionmentioning

confidence: 99%

OMTDR using BER estimation for ambiguities cancellation in ramified networks diagnosis

Hassen

Auzanneau

Incarbone

et al. 2013

2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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Nowadays, increasing demands for on-line wire diagnosis using reflectometry have imposed serious challenges on signals processing, bandwidth control and interference mitigation. On-line diagnosis aims at detecting and locating faults accurately while the target system is running. In this work, a new reflectometry method, named "Orthogonal Multi-Tone Time Domain Reflectometry" (OMTDR), is proposed. OMTDR, based on Orthogonal Frequency Division Multiplexing (OFDM), is a suitable candidate for on-line diagnosis as it permits interference avoidance, bandwidth control and data rate increase thanks to the use of orthogonal tones and guard intervals. Over the diagnosis function, OMTDR adds communication between sensors to more accurately determine faults position in a multi-branch network using a distributed strategy. OMTDR was tested on a branched network consisting of three cables with different lengths, with sensors at each cable end. Here, the sensors signals are carefully constructed using a resource allocation scheme to use frequencies below and above the prohibited bandwidth, used by the target system, for communication and diagnosis. Simulation results show that the proposed method performs well in a branched wiring network as it permits to detect and locate faults accurately even when the target system is operating.

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Reflectrometry based fault localization in automotive bus systems

Cited by 3 publications

References 5 publications

On-line diagnosis using Orthogonal Multi-Tone Time Domain Reflectometry in a lossy cable

On-line diagnosis using Orthogonal Multi-Tone Time Domain Reflectometry in a lossy cable

Modeling and Simulation of Time Domain Reflectometry Signals on a Real Network for Use in Fault Classification and Location

OMTDR using BER estimation for ambiguities cancellation in ramified networks diagnosis

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