Hierarchical selection in gas turbine maintenance management

Wei Chen, Janet K. Allen, Farrokh Mistree

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A concurrent approach to hierarchical selection of design concepts for maintenance management is introduced. The interactions amongst selection problems in maintenance are taken into account concurrently by formulating an entire hierarchy as a single coupled Decision Support Problem (DSP). Using this method it is possible to model interactions among different concepts rather than creating a model in which these decisions are made sequentially, hence this approach can form a basis for concurrent engineering. We illustrate our approach by formulating and solving a gas turbine axial compressor fouling maintenance problem as a coupled selection-selection DSP. The filter for fouling prevention and the washing media for fouling treatment are selected simultaneously while interactions between the two selections are considered. Our focus in this paper is on explaining our approach rather than the results perse.

Original languageEnglish (US)
Title of host publication19th Design Automation Conference
Subtitle of host publicationVolume 1 - Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages87-95
Number of pages9
ISBN (Electronic)9780791811818
DOIs
StatePublished - 1993
Externally publishedYes
EventASME 1993 Design Technical Conferences, DETC 1993 - Albuquerque, United States
Duration: Sep 19 1993Sep 22 1993

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
VolumePart F167972-13

Conference

ConferenceASME 1993 Design Technical Conferences, DETC 1993
Country/TerritoryUnited States
CityAlbuquerque
Period9/19/939/22/93

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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