Support Vector Machine for Vibration Fault Classification of Steam Turbine-Generator Sets

摘要：

To solve the vibration fault diagnosis of steam turbine-generator sets (STGS), this paper presents support vector machine (SVM) to extract the support vector from database for vibration fault diagnosis of the sets.In this paper, the SVM is used to construct the vibration fault diagnosis model.The test results demonstrate that the proposed method has less learning time and higher diagnosis than the existing methods. Thus, the feasibility of applying the proposed method to the practical vibration fault diagnosis of the STGS has been confirmed.

关键词： Support Vector Machine Vibration Fault Diagnosis

作者: Huo-Ching Sun Yann-Chang Huang

作者单位: Department of Electrical Engineering,Cheng Shiu University,Kaohsiung,TAIWAN

会议类型: 国际会议

会议名称: International Conference on Advances in Engineering 2011(2011年工程研究进展国际学术会议 ICAE2011)

会议地点: 南京

会议语种:英文

页码: 38-42

在线出版日期: 2011-12-17（万方平台首次上网日期，不代表论文的发表时间）