Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 86-94 |
| Number of pages | 9 |
| Journal | IEEE/ASME Transactions on Mechatronics |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2008 |
| Externally published | Yes |
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Keywords
- Fault detection and diagnosis
- Fuzzy pattern matching
- Modeling
- Robotic wiring harness assembly
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Mechanical Engineering
Cite this
Model-based intelligent fault detection and diagnosis for mating electric connectors in robotic wiring harness assembly systems. / Huang, Jian; Fukuda, Toshio; Matsuno, Takayuki.
In: IEEE/ASME Transactions on Mechatronics, Vol. 13, No. 1, 02.2008, p. 86-94.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Model-based intelligent fault detection and diagnosis for mating electric connectors in robotic wiring harness assembly systems
AU - Huang, Jian
AU - Fukuda, Toshio
AU - Matsuno, Takayuki
PY - 2008/2
Y1 - 2008/2
N2 - 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.
AB - 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.
KW - Fault detection and diagnosis
KW - Fuzzy pattern matching
KW - Modeling
KW - Robotic wiring harness assembly
UR - http://www.scopus.com/inward/record.url?scp=40849096005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40849096005&partnerID=8YFLogxK
U2 - 10.1109/TMECH.2007.915063
DO - 10.1109/TMECH.2007.915063
M3 - Article
AN - SCOPUS:40849096005
VL - 13
SP - 86
EP - 94
JO - IEEE/ASME Transactions on Mechatronics
JF - IEEE/ASME Transactions on Mechatronics
SN - 1083-4435
IS - 1
ER -