A nonlinear filtering process diagnostic system for the Space StationA nonlinear filtering process diagnostic system, terrestrial simulation and real time implementation studies is presented. Possible applications to Space Station subsystem elements are discussed. A process diagnostic system using model based nonlinear filtering for systems with random structure was shown to provide improvements in stability, robustness, and overall performance in comparison to linear filter based systems. A suboptimal version of the nonlinear filter (zero order approximation filter, or ZOA filter) was used in simulation studies, initially, with a pressurized water reactor model and then with water/steam heat exchanger models. Finally, a real time implementation for leak detection in a water/steam heat exchanger was conducted using the ZOA filter and heat exchanger models.
Document ID
19880020033
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Yoel, Raymond R. (Boeing Aerospace Co. Huntsville, AL., United States)
Buchner, M. (Case Western Reserve Univ. Cleveland, OH., United States)
Loparo, K. (Case Western Reserve Univ. Cleveland, OH., United States)
Cubukcu, Arif (Case Western Reserve Univ. Cleveland, Ohio., United States)
Date Acquired
September 5, 2013
Publication Date
August 1, 1988
Publication Information
Publication: NASA, Marshall Space Flight Center, Second Conference on Artificial Intelligence for Space Applications