Presentation 2009-03-05
Fault Location in Collaborative Systems Using Abstracted Model Based Diagnosis
Takuro KUTSUNA, Shuichi SATO, Naoya CHUJO,
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Abstract(in English) Automotive control systems are getting more large-scaled and complex each day. Such a system will cause a problem with locating faults during system failures. One reason for this problem is that system components which have received an abnormal input data from other components may also output abnormal data even if they are not in abnormal modes, and consequently many redundant faults are detected in the system. In this paper, we propose a diagnosis method to locate the origin of faults automatically in the system where the fault propagation may happen. We use the framework of model based diagnosis developed in the field of artificial intelligence, and furthermore, we introduce an abstract modeling technique in order to deal with complex software components.
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Keyword(in English) Fault Location / Fault Propagation / Model Based Diagnosis
Paper # CPSY2008-95,DC2008-86
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Committee DC
Conference Date 2009/2/26(1days)
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Registration To Dependable Computing (DC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fault Location in Collaborative Systems Using Abstracted Model Based Diagnosis
Sub Title (in English)
Keyword(1) Fault Location
Keyword(2) Fault Propagation
Keyword(3) Model Based Diagnosis
1st Author's Name Takuro KUTSUNA
1st Author's Affiliation Toyota Central R & D Labs Inc.()
2nd Author's Name Shuichi SATO
2nd Author's Affiliation Toyota Central R & D Labs Inc.
3rd Author's Name Naoya CHUJO
3rd Author's Affiliation Toyota Central R & D Labs Inc.
Date 2009-03-05
Paper # CPSY2008-95,DC2008-86
Volume (vol) vol.108
Number (no) 464
Page pp.pp.-
#Pages 6
Date of Issue