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- W2086534808 abstract "Health management of a machine, such as a gas turbine engine, offers the potential benefits of efficient operations planning and the reduced cost of ownership. It requires a tight integration of major health management functions, such as trending, failure identification, forecasting, life prediction, operations and maintenance planning. This paper introduces a suite of plug-in tools that enhance the condition monitoring and health management capabilities of operational (or legacy) systems. One of these systems is the U. S. Air Force Comprehensive Engine Trending and Diagnostics System (CETADS), which has been used as the baseline for the development of the tools. These tools are collectively called the Intelligent Condition-based Engine/Equipment Management System (ICEMS). These tools are configured as software modules, which can be incorporated into an operational health management system individually or as a group. ICEMS modules implement the advanced algorithms containing artificial intelligence, statistical, model-based analysis techniques, and RCM practices. Although these modules have been developed and tested using data from the Pratt & Whitney F100-PW-220 engine in service at Luke Air Force Base, the modules are also generalized to cover many generic machines (or equipment)." @default.
- W2086534808 created "2016-06-24" @default.
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- W2086534808 date "2001-06-04" @default.
- W2086534808 modified "2023-09-27" @default.
- W2086534808 title "ICEMS: Intelligent Condition-Based Engine/Equipment Management System (www.icems.com)" @default.
- W2086534808 doi "https://doi.org/10.1115/2001-gt-0015" @default.
- W2086534808 hasPublicationYear "2001" @default.
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