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A class of piecewise linear force models is proposed to describe both the successful and the faulty mating processes of connectors via an elaborate analysis of forces during different phases. The corresponding parameter estimation method of this model is also presented by adapting regular least-square estimation methods. A hierarchical fuzzy pattern matching multidensity classifier is proposed to realize fault detection and diagnosis for the mating process. This classifier shows good performance in diagnosis. A typical type of connectors is investigated in this paper. The results can easily be extended to other types. 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Model-Based Intelligent Fault Detection and Diagnosis for Mating Electric Connectors in Robotic Wiring Harness Assembly Systems
http://hdl.handle.net/2237/11173
http://hdl.handle.net/2237/111735c86c76a-f1f9-4f52-91bd-5d3cf096fed7
| 名前 / ファイル | ライセンス | アクション |
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getPDF_jsp.pdf (749.6 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2009-02-25 | |||||
| タイトル | ||||||
| 著者 |
Huang, Jian
× Huang, Jian× Fukuda, Toshio× 福田, 敏男× Matsuno, Takayuki |
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| 書誌情報 |
en : IEEE/ASME Transactions on Mechatronics 巻 13, 号 1, p. 86-94, 発行日 2008-02 |
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