F108 TRANSIENT PERFORMANCE DATA ANALYSIS

摘要

Previous work with gas turbine engine system-level health assessments lead Southwest Research Institute (SwRI) engineers to believe that currently ignored high-stress/high-temperature transient data contains information that is more useful for fault detection than the currently analyzed low-stress steady-state data. The F108 Transient Performance Data Analysis Internal Research and Development (IR&D) project consisted of developing a set of analytical tools and using them to perform an analysis of transient (non-steady state) gas turbine engine data for Engine Health Management (EHM) purposes.rnThe main objective of this project was to determine if more accurate system-level fault detection tools could be developed by analyzing transient engine performance data that is currently being ignored during the Engine Trending and Diagnostics (ET&D) process. This paper will outline the technical approach taken during the project and summarize project results.rnThe primary challenge of this study was to correlate multiple engine parameters over a range of transient conditions when parameter values are varying due to throttle excursions, ambient conditions, aircraft loads, and mission profiles. This correlation effort required the development of algorithms that quantified the parameters' relationships during these varying conditions. Another challenge was to define an automated process that filters flight data and extracts the desired transient data.