Remote Fault Diagnosis System Based on EMD and SVM for Heavy Rolling-Mills

Jin Fei Liu; Ming Chen; Jia Yun Gu; Lu Cheng

doi:10.4028/www.scientific.net/AMR.889-890.681

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 889-890Remote Fault Diagnosis System Based on EMD and SVM...

Remote Fault Diagnosis System Based on EMD and SVM for Heavy Rolling-Mills

Abstract:

Aiming at the requirements of fault diagnosis for heavy mills, the architecture of remote fault diagnosis system based on EMD and SVM for heavy mills is built. Then the function of 3 main subsystems in the prototype system is introduced: Pattern recognition subsystem is used to evaluate healthy state of equipment with SVM classification algorithm; Fault location subsystem is used to fix fault position in the equipment with the method of Empirical Mode Decomposition and Hilbert-Huang Transform; Remaining life prediction subsystem is used to make a prediction of equipments health trends with SVM regression algorithm. At last, a remote fault diagnosis system based on website is established.

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Periodical:

Advanced Materials Research (Volumes 889-890)

Pages:

681-686

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.889-890.681

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Online since:

February 2014

Authors:

Jin Fei Liu, Ming Chen*, Jia Yun Gu, Lu Cheng

Keywords:

Empirical Mode Decomposition (EMD), Fault Diagnosis, Remote, Support Vector Machine (SVM)

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* - Corresponding Author

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