0

Full Content is available to subscribers

Subscribe/Learn More  >

Condition Monitoring of an Electrohydraulic Position Control System Using Artificial Neural Networks

[+] Author Affiliations
K. Pollmeier, C. R. Burrows, K. A. Edge

University of Bath

Paper No. IMECE2004-62309, pp. 137-146; 10 pages
doi:10.1115/IMECE2004-62309
From:
  • ASME 2004 International Mechanical Engineering Congress and Exposition
  • Fluid Power Systems and Technology
  • Anaheim, California, USA, November 13 – 19, 2004
  • Conference Sponsors: Fluid Power Systems and Technology Division
  • ISBN: 0-7918-4710-1 | eISBN: 0-7918-4178-2, 0-7918-4179-0, 0-7918-4180-4
  • Copyright © 2004 by ASME

abstract

This paper investigates the condition monitoring of a servo-valve-controlled linear actuator system using artificial neural networks (NNs). The aim is to discuss techniques for the identification of failure characteristics and their source. It is shown that neural networks can be trained to identify more than one fault but these are larger and require more training patterns than networks for single fault diagnosis. This leads to much longer training times and to problems with scaleability. Therefore a modular approach has been developed. Several networks were trained each to identify an individual fault. The parallel outputs of these nets were then used as inputs to another network. This additional network was able to identify not only the correct faults but also the actual fault levels.

Copyright © 2004 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In