2010 Fiscal Year Final Research Report
Development of diagnosis technique using trained model
| Project/Area Number |
20560224
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Dynamics/Control
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| Research Institution | Osaka City University |
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Principal Investigator |
KAWAI Tadao Osaka City University, 大学院・工学研究科, 教授 (20177637)
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| Project Period (FY) |
2008 – 2010
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| Keywords | 機械力学・制御 / 知能機械 / 計測工学 / 診断 / 評価 |
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| Research Abstract |
In this study, we developed the model based diagnosis technique for a rotational shaft, an engine mount and an air-conditioner. First, we build models by using Modelica language. And then, we build various abnormalities in a model. Modeling was carried out by Physical relations both for normal and abnormal phenomenon. Second, simulations were done with and without failures to develop diagnosis technique. We used semantic network, inverse technique and support vector machine for diagnosis. Finally, we confirmed our developed technique well distinguished an abnormal case from normal one.
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