Fault Diagnosis of Supervision and Homogenization Distance Based on Local Linear Embedding Algorithm
Joint Authors
Wang, Guangbin
Luo, Jun
He, Yilin
Chen, Qinyi
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In view of the problems of uneven distribution of reality fault samples and dimension reduction effect of locally linear embedding (LLE) algorithm which is easily affected by neighboring points, an improved local linear embedding algorithm of homogenization distance (HLLE) is developed.
The method makes the overall distribution of sample points tend to be homogenization and reduces the influence of neighboring points using homogenization distance instead of the traditional Euclidean distance.
It is helpful to choose effective neighboring points to construct weight matrix for dimension reduction.
Because the fault recognition performance improvement of HLLE is limited and unstable, the paper further proposes a new local linear embedding algorithm of supervision and homogenization distance (SHLLE) by adding the supervised learning mechanism.
On the basis of homogenization distance, supervised learning increases the category information of sample points so that the same category of sample points will be gathered and the heterogeneous category of sample points will be scattered.
It effectively improves the performance of fault diagnosis and maintains stability at the same time.
A comparison of the methods mentioned above was made by simulation experiment with rotor system fault diagnosis, and the results show that SHLLE algorithm has superior fault recognition performance.
American Psychological Association (APA)
Wang, Guangbin& Luo, Jun& He, Yilin& Chen, Qinyi. 2015. Fault Diagnosis of Supervision and Homogenization Distance Based on Local Linear Embedding Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1075246
Modern Language Association (MLA)
Wang, Guangbin…[et al.]. Fault Diagnosis of Supervision and Homogenization Distance Based on Local Linear Embedding Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1075246
American Medical Association (AMA)
Wang, Guangbin& Luo, Jun& He, Yilin& Chen, Qinyi. Fault Diagnosis of Supervision and Homogenization Distance Based on Local Linear Embedding Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1075246
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075246