Title:
ResearchonFaultDiagnosisofrHydraulicSystemBasedonS
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- AI-NN-PR
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- 2.12mb
- Update:
- 2012-11-26
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- fish_niu
Description: In this paper, VSM learning algorithm to explore the same time, SVM in the hydraulic system fault diagnosis are discussed. With hydraulic equipment in the common crane as the research object, using support vector machine theory of their fault diagnosis simulation and experimental studies, including a mathematical model experimental system design, simulation model (using SIMUL Engineering Simulation NK Software to build simulation models), the extraction of characteristic parameters, data collection and so on.
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支持向量机在液压系统故障诊断中的应用研究.nh
