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Demonstration of the use of ADAPT to derive predictive maintenance algorithms for the KSC central heat plantThe Avco Data Analysis and Prediction Techniques (ADAPT) were employed to determine laws capable of detecting failures in a heat plant up to three days in advance of the occurrence of the failure. The projected performance of algorithms yielded a detection probability of 90% with false alarm rates of the order of 1 per year for a sample rate of 1 per day with each detection, followed by 3 hourly samplings. This performance was verified on 173 independent test cases. The program also demonstrated diagnostic algorithms and the ability to predict the time of failure to approximately plus or minus 8 hours up to three days in advance of the failure. The ADAPT programs produce simple algorithms which have a unique possibility of a relatively low cost updating procedure. The algorithms were implemented on general purpose computers at Kennedy Space Flight Center and tested against current data.
Document ID
19730013470
Document Type
Contractor Report (CR)
Authors
Hunter, H. E. (Avco Corp. Wilmington, MA, United States)
Date Acquired
September 2, 2013
Publication Date
November 1, 1972
Subject Category
FACILITIES, RESEARCH, AND SUPPORT
Report/Patent Number
NASA-CR-131571
AVSD-0084-73-RR
Funding Number(s)
CONTRACT_GRANT: NAS10-7926
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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