Model based fault detection of vehicle suspension and hydraulic brake systems

Börner, Marcus; Straky, Harald; Weispfenning, Thomas; Isermann, Rolf

doi:10.1016/s0957-4158(02)00008-9

Cited by 52 publications

(8 citation statements)

References 5 publications

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“…For example, a model-based fault diagnosis and isolation scheme was demonstrated by Pisu et al [40] for automobile active braking systems, and a fault detection and isolation scheme design using parity equation based residual generation was presented on an ABS model. The model-based technology to fault diagnosis for automotive vehicle suspension and hydraulic brake systems was explained by Börner et al [41], and a detailed process of fault detection of solenoid ABS valves using the parity equation method was shown to generate residuals for fault detecting. A sliding mode observer (SMO) was designed by Zahedi et al [42] to detect and isolate the possible sensor faults in the ABS, and it was proved that their strategy is effective in isolating various types of sensor faults by numerical simulations.…”

Section: Introductionmentioning

confidence: 99%

“…From the above investigation of the existing literatures about ABS fault diagnosis, most of them have employed model-based technologies for health monitoring and fault detecting of ABS. In terms of the above model-based methodologies in ABS, there are three kinds of theory involved in these papers: parity equation [40,41], observer [42,43] or mixed parity equation and observer [19]. These model-based methodologies are now popular in the fault diagnosis on the ABS as well as the other vehicle systems [49,50,51,52,53,54,55].…”

Section: Introductionmentioning

confidence: 99%

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Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Chen

Tian

Chen

et al. 2018

Sensors

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The anti-lock braking system (ABS) is an essential part in ensuring safe driving in vehicles. The Security of onboard safety systems is very important. In order to monitor the functions of ABS and avoid any malfunction, a model-based methodology with respect to structural analysis is employed in this paper to achieve an efficient fault detection and identification (FDI) system design. The analysis involves five essential steps of SA applied to ABS, which includes critical faults analysis, fault modelling, fault detectability analysis and fault isolability analysis, Minimal Structural Over-determined (MSO) sets selection, and MSO-based residual design. In terms of the four faults in the ABS, they are evaluated to be detectable through performing a structural representation and making the Dulmage-Mendelsohn decomposition with respect to the fault modelling, and then they are proved to be isolable based on the fault isolability matrix via SA. After that, four corresponding residuals are generated directly by a series of suggested equation combinations resulting from four MSO sets. The results generated by numerical simulations show that the proposed FDI system can detect and isolate all the injected faults, which is consistent with the theoretical analysis by SA, and also eventually validated by experimental testing on the vehicle (EcoCAR2) ABS.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Chen

Tian

Chen

et al. 2018

Sensors

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“…To resolve the above issues, this paper is committed to theoretical research on fault diagnosis for the HTC, so as to monitor the running state in real time, identify the faults immediately, and to help to realize a reliable controlling system with the function of fault tolerance. We consider that the model-based methodology [18,19] is effective in fault detection and identification (FDI) for automotive systems, such as the suspension system [20], the hydraulic braking system [21], the steer-by-wire system [22,23], the electrical steering system [24], etc. Among these reports, some specific techniques based on models from the system physical structure, such as parameter estimation, parity equation, observer, cumulative sum (CUSUM), support vector machines (SVM), or probabilistic neural networks (PNN), were employed for fault detection and fault isolation.…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of a Structural Analysis-Based Fault Detection and Identification Scheme for a Hydraulic Torque Converter

Chen

Wang

Ahmed

2018

Sensors

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A hydraulic torque converter (HTC) is a key component in an automatic transmission. To monitor its operating status and to detect and locate faults, and considering the high-efficiency fault detection and identification (FDI) scheme design by the methodology of structural analysis (SA), this paper presents an SA-based FDI system design and validation for the HTC. By the technique of fault mode and effect analysis (FMEA), eight critical faults are obtained, and then two fault variables are chosen to delegate them. Fault detectability and isolability, coupled with different sensor placements, are analyzed, and as a result, two speed sensors and two torque sensors of pump and turbine are selected to realize the maximal fault detectability and fault isolability: all six faults are detectable, four faults are uniquely isolable, and two faults are isolated from the other faults, but not from each other. Then five minimal structurally overdetermined (MSO) sets are easily acquired by SA to generate five corresponding residuals. The proposed FDI scheme of the HTC by SA is first validated by a theoretical model, then by an offline experiment in a commercial SUV, and the testing results indicate a consistent conclusion with the simulations and theory analysis.

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“…Bunun için fren testinde ölçülen parametrelerin oto spektrumlarını göz önüne almışlardır. Bu metotta kurulan matematiksel model, ideal parametre değerlinin belirlenmesi için kullanılmıştır [8]. Jegadeeshwaran, iyi ve kötü şartlarda çalışan fren sisteminden ölçülen titreşim sinyallerine istatiksel metotlar uygulayıp bunları birbiri ile karşılaştırarak fren sistemi hatlarını ortaya çıkarmışlardır [9].…”

Section: Introductionunclassified

Developing of a software for determining advanced brake failures in brakes test bench

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Tural²

2016

Pamukkale J Eng Sci

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Model based fault detection of vehicle suspension and hydraulic brake systems

Cited by 52 publications

References 5 publications

Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

Design and Evaluation of a Structural Analysis-Based Fault Detection and Identification Scheme for a Hydraulic Torque Converter

Developing of a software for determining advanced brake failures in brakes test bench

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