0

Full Content is available to subscribers

Subscribe/Learn More  >

Improving Power Plant Availability Through Advanced Engine Diagnostic Techniques

[+] Author Affiliations
Suresh Sampath, Stephen Ogaji, Riti Singh

Cranfield University, Cranfield, UK

Paper No. IJPGC2002-26080, pp. 289-298; 10 pages
doi:10.1115/IJPGC2002-26080
From:
  • 2002 International Joint Power Generation Conference
  • 2002 International Joint Power Generation Conference
  • Scottsdale, Arizona, USA, June 24–26, 2002
  • Conference Sponsors: Power Division
  • ISBN: 0-7918-3617-7 | eISBN: 0-7918-3601-0
  • Copyright © 2002 by ASME

abstract

Technological advances and high cost of ownership have resulted in considerable interest in advanced maintenance techniques. Quantifying fault and consequently availability requires the use of gas turbine and combined cycle models able to undertake appropriate diagnostics and life cycle costing. These are complex areas as they include the simulation of such issues as performance and assessment of degraded gas turbines, life usage and risk analysis. This paper describes how the recent developments in engine diagnostics using advanced techniques like Artificial Neural Networks (ANN) and Genetic Algorithm (GA) based technique have opened new opportunities in the field of engine fault diagnostics. It also discusses the potential of advanced engine diagnostics using such features as ANN and GA in contributing to the management of availability for industrial gas turbines.

Copyright © 2002 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