국내 최대 기계 및 로봇 연구정보

기술보고서

기술보고서 게시판 내용
타이틀	Rocket Engine Failure Detection Using System Identification Techniques
저자	Claudia M. Meyer and June F. Zakrajsek
Keyword	Space Shuttle Main Engine; Statistical approaches; Health monitoring; System identification techniques
URL	http://gltrs.grc.nasa.gov/reports/1990/CR-185259.pdf
보고서번호	NASA CR-185259
발행년도	1990
출처	NASA Glenn Research Center
ABSTRACT	This paper presents the theoretical foundation and application of two univariate failure detection algorithms to Space Shuttle Main Engine (SSME) test firing data. Both algorithms were applied to data collected during steady state operation of the engine. One algorithm, the time series algorithm, is based on time series techniques and involves the computation of autoregressive models. Time series techniques have been previously applied to SSME data. The second algorithm is based on standard signal processing techniques. It consists of tracking the variations in the average signal power with time. The average signal power algorithm is a newly proposed SSME failure detection algorithm. Seven nominal test firings were used to develop failure indication thresholds for each algorithm. These thresholds were tested using four anomalous firings and one additional nominal firing. Both algorithms provided significantly earlier failure indication times than did the current redline limit system. Neither algorithm gave false failure indications for the nominal firing. The strengths and weaknesses of the two algorithms are discussed and compared. The average signal power algorithm was found to have several advantages over the time series algorithm.