The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Research on Fault Diagnosis System of Ventilator Based on LS-SVM
Author(s): 
Pages: 414-417,422
Year: Issue:  5
Journal: Journal of Huaiyin Teachers College(Natural Science Edition)

Keyword:  LS-SVMfault diagnosisventilatortime-domain analysis;
Abstract: 介绍了最小二乘支持向量机(LS-SVM)算法的诊断原理,学习算法以及技术路线.在对现场振动信号特征数据进行采集以及归一化处理的基础上,建立了风机故障数学模型以及故障样本数据库.分析了风机故障模式识别的原理,提出应用LS-SVM进行故障特征学习和分类的方法.最后对故障模型进行训练和仿真,并通过与传统的三层BP神经网络输出进行对比,验证了该方法能够及时检测到故障的发生并进行识别,是风机故障诊断的有效方...
Related Articles
loading...