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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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结合相空间重构和elm的磨煤机振动软测量
, PP. 42-47
Keywords: 磨煤机振动,elm,相空间重构,多参数,变煤种,软测量
Abstract:
以某1000mw燃煤发电机组锅炉的磨煤机振动作为软测量对象,建立了结合相空间重构和极限学习机(elm)的磨煤机振动模型,并对比了有和无煤种信息输入的磨煤机振动预测效果。该模型综合考虑磨煤机运行的多参数和变煤种情况,运用相空间重构将振动烈度重构成m维时延为τ的矩阵,利用前m－1维与其他参数组合成elm的输入矩阵,第m维作为输出。测试结果表明,模型对磨煤机振动预测的平均相对误差为6.27%,优于传统的elm和支持向量机(svm)模型;煤种信息对磨煤机的振动有一定影响。
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