2015
DOI: 10.1016/j.engappai.2014.09.016
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Iterative hybrid causal model based diagnosis: Application to automotive embedded functions

Abstract: a b s t r a c tThis paper addresses off-line diagnosis of embedded functions, such as that made in workshops by the technicians. The diagnosis problem expresses as the determination of a proper sequence of tests and measures at available control points, which would lead to greedily localize the fault quickly and at the lowest cost. Whereas anticipated discrete faults can be properly addressed by fault dictionary methods based on simulation, a consistency based method designed for hybrid systems is proposed to … Show more

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Cited by 12 publications
(4 citation statements)
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“…Diagnosis by situation recognition (chronicle-based diagnosis) in the startup and shutdown stages of mining/mineral/metal/chemical/petrochemical processes as a support for human operators is the principal goal of this new methodology, and it is resumed in the fact that super alarms can be generated according to the scenarios detected by the chronicles. In this paper, the hybrid system is represented by an extended transition system, whose discrete states represent the different modes of operation for which the continuous dynamics are characterized by a qualitative domain [ 28 ]. Formally, a hybrid causal system is defined as a tuple Γ = 〈V,D,Tr,E, CSD ,Init,COMP, DCM〉, where: V = { υ i } is a set of continuous process variables which are functions of time.…”
Section: Methodsmentioning
confidence: 99%
“…Diagnosis by situation recognition (chronicle-based diagnosis) in the startup and shutdown stages of mining/mineral/metal/chemical/petrochemical processes as a support for human operators is the principal goal of this new methodology, and it is resumed in the fact that super alarms can be generated according to the scenarios detected by the chronicles. In this paper, the hybrid system is represented by an extended transition system, whose discrete states represent the different modes of operation for which the continuous dynamics are characterized by a qualitative domain [ 28 ]. Formally, a hybrid causal system is defined as a tuple Γ = 〈V,D,Tr,E, CSD ,Init,COMP, DCM〉, where: V = { υ i } is a set of continuous process variables which are functions of time.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, it is by simulation using a fault injection framework that the representative event sequences of each scenario are obtained. The different steps of this methodology, detailed further in the article, base their formalization on the works [7], [27], [28].…”
Section: Problem Statement and Methods Overviewmentioning
confidence: 99%
“…Schweppe et al (2009) dis-cuss the Automotive Keyword Protocol ISO 14230:2000(ISO/IEC, 2000, a widely-accepted standard for analyzing faults via net-work messages exchanged over a vehicles CAN bus. Pons et al (2015) outline a similar approach using Causal Graphs rather than Binary Decision Diagrams.…”
Section: Knowledge-based Approachesmentioning
confidence: 99%