A Fault Diagnosis Model of Surface to Air Missile Equipment Based on Wavelet Transformation and Support Vector Machine

A Fault Diagnosis Model of Surface to Air Missile Equipment Based on Wavelet Transformation and Support Vector Machine

At present, the fault signals of surface to air missile equipment are hard to collect and the accuracy of fault diagnosis is very low. To solve the above problems, based on the superiority of wavelet transformation on processing non-stationary signals and the advantage of SVM on pattern classificati...

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Bibliographic Details
Main Authors:	Zhheng Ni, Zhang Lin, Zhang Bo, Wang Wenfeng, Shi Wenjie, Si Wei
Format:	Article
Language:	English
Published:	EDP Sciences 2016-01-01
Series:	MATEC Web of Conferences
Online Access:	http://dx.doi.org/10.1051/matecconf/20165503004

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