| Multiple Faults Simultaneous Diagnosis Based on Ellipsoidal Unit Networks for Rotating Machine |
| |
| 作者姓名： | 何永勇 钟秉林 黄仁 |
| |
| 作者单位： | He Yongyong(何永勇) Zhong Binglin(钟秉林) Huang Ren(黄仁)(Department of Mechanical Engineering，Southeast University，Nanjing 210018) |
| |
| 摘 要： | ＭｕｌｔｉｐｌｅＦａｕｌｔｓＳｉｍｕｌｔａｎｅｏｕｓＤｉａｇｎｏｓｉｓＢａｓｅｄｏｎＥｌｉｐｓｏｉｄａｌＵｎｉｔＮｅｔｗｏｒｋｓｆｏｒＲｏｔａｔｉｎｇＭａｃｈｉｎｅＨｅＹｏｎｇｙｏｎｇ（何永勇）ＺｈｏｎｇＢｉｎｇｌｉｎ（钟秉林）ＨｕａｎｇＲｅｎ（黄...
|
Multiple Faults Simultaneous Diagnosis Based on Ellipsoidal Unit Networks for Rotating Machine |
| |
| He Yongyong.Multiple Faults Simultaneous Diagnosis Based on Ellipsoidal Unit Networks for Rotating Machine[J].Journal of Southeast University(English Edition),1997(1). |
| |
| Authors: | He Yongyong |
| |
| Abstract: | To overcome the limitations of the standard feedforward neural network, a novel neural network (i.e., ellipsoidal unit network) is proposed, which is very available for fault diagnosis applications due to its bounded generalization and extrapolation. In this paper, the theory and the structure of such a network are described, and the training algorithm is given based on standard backpropagation algorithm. Then, based on this network, a hierarchical diagnosis network (HDANN) is proposed with respect to multiple faults simultaneous diagnosis for rotating machines. The research results show that HDANN based on ellipsoidal unit networks can obtain more accurate and efficient diagnosis results than single net scheme, and is available for real time condition monitoring and diagnosis of rotating machines. |
| |
| Keywords: | artificial neural networks BP algorithm fault diagnosis rotating machine |
| 本文献已被 CNKI 等数据库收录！ |
