Research on the Fault Diagnosis System for ICM

Zhong Nian Li; Lei Zhou

doi:10.4028/www.scientific.net/AMR.712-715.2055

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Research on the Fault Diagnosis System for ICM

Research on the Fault Diagnosis System for ICM

Abstract:

In the paper, researched a fault diagnosis system which is used in the ICM (Intelligent Coiling Machine)successfully, it is a kind of fault diagnosis system that uses compactwavelet neural network wavelet neural network as the intelligent core and has the PFA(Principal Factor Analysis) pretreatment function. Through innovative designing and carefully plotted monitoring ways and methods in the system, as a result the fault diagnosis rate of accuracy is high, fault-tolerant ability is strong, the processing speed is quick, and the system work safely and reliably.It has achieved the anticipated goal and the effect.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

2055-2058

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.2055

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Online since:

June 2013

Authors:

Zhong Nian Li, Lei Zhou

Keywords:

Fault Diagnosis, ICM, Intelligent Core

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References

[1] Zhongnian LI: Research on Fault Diagnosis Method for ECS-CNCL Based on Rough Set.Proc.of IEEE ICNC-FSKD '12, 103-107,May, (2012).

Google Scholar

[2] LI Zhongnian, ZHOU Xin, CHEN Yonghong: Research for the Intelligent RMB Sorter Based on ANN. Proc.of ICEMI'2009(1),99-102. IEEE, Beijing P.R. China, Aug.(2009).

Google Scholar

[3] LI Zhongnian, et.: Qi.Research and Realization of PADS Optimum Reception Pattern. Proc.of IEEE iATP2010,195-198,Oct.,(2010).

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[4] LI Zhongnian,ZHOU Lei:A New Method on the Training FNN. Proc.of IEEE FCC 2010,pp.195-198, SEP.(2010).

Google Scholar

[5] Zhongnian LI et.:Construction and Operation on the Training base for Application Technology about New Energy Resuorce. Advanced Materials Research,96-99, June, (2012).

DOI: 10.4028/www.scientific.net/amr.524-527.2895

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