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Model-Based Intelligent Fault Detection and Diagnosis for Mating Electric Connectors in Robotic Wiring Harness Assembly Systems
Huang, Jian
Fukuda, Toshio
福田, 敏男
Matsuno, Takayuki
open access
Copyright © 2008 IEEE. Reprinted from IEEE/ASME Transactions on Mechatronics, v.13, n.1, 2008, p.86-94. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
Fault detection and diagnosis
fuzzy pattern matching, modeling
robotic wiring harness assembly
Mating a pair of electric connectors is one of the most important steps in a robotic wiring harness assembly system. 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. The effectiveness of proposed methods is finally confirmed through experiments.
IEEE
2008-02
eng
journal article
VoR
http://hdl.handle.net/2237/11173
https://nagoya.repo.nii.ac.jp/records/9395
https://doi.org/10.1109/TMECH.2007.915063
1083-4435
IEEE/ASME Transactions on Mechatronics
13
1
86
94
https://nagoya.repo.nii.ac.jp/record/9395/files/getPDF_jsp.pdf
application/pdf
749.6 kB
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