Presentation	2004/6/3 Model Based Diagnosis for Motor Drive System by using Temporal Causal Graph Koudai HAYASHI, Tatsuya SUZUKI,
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Abstract(in English)	Recently, the demands for the reliable and safety motion control system are increasing. To meet such demands, the control system must have self-diagnosis functions. This paper presents a new fault diagnosis framework which exploits a qualitative dynamical model of the plant called Temporal Causal Graph (TCG). The addressed framework consists of (i) monitoring, (ii) generating fault hypotheses, and (iii) prediction based on the TCG model. Some simulation results are shown as for the application to the Brushless DC motor drive system to demonstrate the usefulness of the proposed framework.
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Keyword(in English)	Fault Diagnosis / Bond Graph / Temporal Causal Graph / Brushless DC motor
Paper #	CST2004-7
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Conference Information
Committee	CST
Conference Date	2004/6/3(1days)
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Paper Information
Registration To	Concurrent System Technology (CST)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Model Based Diagnosis for Motor Drive System by using Temporal Causal Graph
Sub Title (in English)
Keyword(1)	Fault Diagnosis
Keyword(2)	Bond Graph
Keyword(3)	Temporal Causal Graph
Keyword(4)	Brushless DC motor
1st Author's Name	Koudai HAYASHI
1st Author's Affiliation	Graduate School of Engineering, Nagoya University()
2nd Author's Name	Tatsuya SUZUKI
2nd Author's Affiliation	Graduate School of Engineering, Nagoya University
Date	2004/6/3
Paper #	CST2004-7
Volume (vol)	vol.104
Number (no)	105
Page	pp.pp.-
#Pages	6
Date of Issue