Bearing Condition Recognition and Degradation Assessment under Varying Running Conditions Using NPE and SOM
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Manifold learning methods have been widely used in machine condition monitoring and fault diagnosis.
However, the results reported in these studies focus on the machine faults under stable loading and rotational speeds, which cannot interpret the practical machine running.
Rotating machine is always running under variable speeds and loading, which makes the vibration signal more complicated.
To address such concern, the NPE (neighborhood preserving embedding) is applied for bearing fault classification.
Compared with other algorithms (PCA, LPP, LDA, and ISOP), the NPE performs well in feature extraction.
Since the traditional time domain signal denoising is time consuming and memory consuming, we denoise the signal features directly in feature space.
Furthermore, NPE and SOM (self-organizing map) are combined to assess the bearing degradation performance.
Simulation and experiment results validate the effectiveness of the proposed method.
American Psychological Association (APA)
Zhang, Shaohui& Li, Weihua. 2014. Bearing Condition Recognition and Degradation Assessment under Varying Running Conditions Using NPE and SOM. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-497522
Modern Language Association (MLA)
Zhang, Shaohui& Li, Weihua. Bearing Condition Recognition and Degradation Assessment under Varying Running Conditions Using NPE and SOM. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-497522
American Medical Association (AMA)
Zhang, Shaohui& Li, Weihua. Bearing Condition Recognition and Degradation Assessment under Varying Running Conditions Using NPE and SOM. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-497522
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497522