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- Title
基于 SADE 的混合核 LSSVM 在压缩机故障预测中的应用.
- Authors
杜洁; 吴静
- Abstract
For the variety of screw refrigeration compressors and the complexity of faults,it is difficult to obtain effective prediction model. This paper proposed a prediction model of hybrid kernel least square support vector machine( LSSVM) based on adaptive differential evolution algorithm( SADE), which had the advantages of simple theoretical structure, less parameter setting and strong searching ability than other intelligent optimization algorithms. In the course of evolution, SADE was adaptive to the difference strategy, scaling factor and crossover probability respectively, which ensured the global searching ability and population diversity at the initial stage of optimization, improved the local searching ability and the convergence speed. And it used SADE to search the parameters of kernel parameters, LSSVM parameters and the mixed kernel regulation parameter, to improve the accuracy of the hybrid kernel LSSVM prediction model. It applied the model to the compressor fault prediction, and the experimental results show that the model can predict the compressor fault effectively and verify the feasibility of the model.
- Subjects
SADE, marquis de, 1740-1814; DIFFERENTIAL evolution; SUPPORT vector machines; SCREW compressors; PREDICTION models; LEAST squares; PROCESS optimization; COMPRESSORS
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2019, Vol 36, Issue 9, p2708
- ISSN
1001-3695
- Publication type
Article
- DOI
10.19734/j.issn.1001-3695.2018.04.0238