TR100: The Intelligent Real-Time Maintenance Management (IRTMM) System: Support for Integrated Value-Based Maintenance Planning
Abstract/Contents
- Abstract
- The overall objective of the Intelligent Real-Time Maintenance Management (IRTMM) project is to help process plant owners perform value-based plant maintenance, i.e., to perform maintenance as needed for engineering and business reasons, rather than periodically (i.e., need-it-or-not) or following a breakdown. The system includes three coupled functions, each implemented as on independent software module: Situation Assessment (SA), planning and Value Analysis (VA). Users interact with the system using a graphic user interface that displays interactive Process and Instrumentation Diagrams (P&ID's) and various tables, charts and graphs. The modules share a symbolic plant model that describes plant components, their attributes and their connectivity. Since the plant processes include pumping, steam generation and fluid flow, the process model is general, and the planning and business models are also very general. The system has been tested successfully with test cases provided by power company utilities and from a large process plant.
Description
Type of resource | text |
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Date created | January 1995 |
Creators/Contributors
Author | Kunz, John | |
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Author | Jin, Yan | |
Author | Levitt, Raymond E. | |
Author | Lin, Shouh-Dauh | |
Author | Teicholz, Paul |
Subjects
Subject | CIFE |
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Subject | Center for Integrated Facility Engineering |
Subject | Stanford University |
Subject | Intelligent Real-Time Maintenance Management |
Subject | IRTMM |
Subject | Planning |
Subject | Process and Instrumentation Diagrams |
Subject | Situation Assessment |
Subject | Value Analysis |
Genre | Technical report |
Bibliographic information
Related Publication | Lin, Shouh-Dauh and Kunz, John and Teicholz, Paul. (1994). TR099: IRTMM Value Analysis Module. Stanford Digital Repository. Available at: http://purl.stanford.edu/kh670sh5462 |
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Related item | |
Location | https://purl.stanford.edu/tg222gx7093 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Kunz, John and Jin, Yan and Levitt, Raymond E. and Lin, Shouh-Dauh and Teicholz, Paul. (1995). TR100: The Intelligent Real-Time Maintenance Management (IRTMM) System: Support for Integrated Value-Based Maintenance Planning. Stanford Digital Repository. Available at: http://purl.stanford.edu/tg222gx7093
Collection
CIFE Publications
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- Contact
- cife-email@stanford.edu
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