By Topic

Vibration Fault Diagnosis for Hydraulic Generator Units with Pattern Recognition and Cluster Analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
An, X.L. ; Coll. of Hydroelectr. & Digitization Eng., Huazhong Univ. of Sci. & Technol., Wuhan ; Zhou, J.Z. ; Liu, L. ; Yang, J.J.
more authors

For reducing the economic losses of hydraulic generator units, fault detection and diagnosis is fundamental. A technique is presented that uses pattern recognition and cluster analysis. Faults of hydraulic generator units are classified from the characteristic parameters using statistical analysis methods. A characteristic parameter matrix of standard faults has been developed for identifying the vibration faults. The cluster technique is carried out in a real case. Results demonstrated that the proposed method is a good candidate to be used as an online diagnosis tool for hydraulic generator units.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008