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ISHM Anomaly Lexicon for Rocket TestIntegrated Systems Health Management (ISHM) is a comprehensive capability. An ISHM system must detect anomalies, identify causes of such anomalies, predict future anomalies, help identify consequences of anomalies for example, suggested mitigation steps. The system should also provide users with appropriate navigation tools to facilitate the flow of information into and out of the ISHM system. Central to the ability of the ISHM to detect anomalies is a clearly defined catalog of anomalies. Further, this lexicon of anomalies must be organized in ways that make it accessible to a suite of tools used to manage the data, information and knowledge (DIaK) associated with a system. In particular, it is critical to ensure that there is optimal mapping between target anomalies and the algorithms associated with their detection. During the early development of our ISHM architecture and approach, it became clear that a lexicon of anomalies would be important to the development of critical anomaly detection algorithms. In our work in the rocket engine test environment at John C. Stennis Space Center, we have access to a repository of discrepancy reports (DRs) that are generated in response to squawks identified during post-test data analysis. The DR is the tool used to document anomalies and the methods used to resolve the issue. These DRs have been generated for many different tests and for all test stands. The result is that they represent a comprehensive summary of the anomalies associated with rocket engine testing. Fig. 1 illustrates some of the data that can be extracted from a DR. Such information includes affected transducer channels, narrative description of the observed anomaly, and the steps used to correct the problem. The primary goal of the anomaly lexicon development efforts we have undertaken is to create a lexicon that could be used in support of an associated health assessment database system (HADS) co-development effort. There are a number of significant byproducts of the anomaly lexicon compilation effort. For example, (1) Allows determination of the frequency distribution of anomalies to help identify those with the potential for high return on investment if included in automated detection as part of an ISHM system, (2) Availability of a regular lexicon could provide the base anomaly name choices to help maintain consistency in the DR collection process, and (3) Although developed for the rocket engine test environment, most of the anomalies are not specific to rocket testing, and thus can be reused in other applications.
Document ID
20070017836
Acquisition Source
Stennis Space Center
Document Type
Conference Paper
Authors
Schmalzel, John L.
(NASA Stennis Space Center Stennis Space Center, MS, United States)
Buchanan, Aubri
(NASA Stennis Space Center Stennis Space Center, MS, United States)
Hensarling, Paula L.
(Jacobs Sverdrup Technology, Inc. United States)
Morris, Jonathan
(Jacobs Sverdrup Technology, Inc. United States)
Turowski, Mark
(Jacobs Sverdrup Technology, Inc. United States)
Figueroa, Jorge F.
(NASA Stennis Space Center Stennis Space Center, MS, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2007
Subject Category
Computer Systems
Report/Patent Number
SSTI-2200-0084
Meeting Information
Meeting: Integrated Systems Health Management Conference
Location: Cincinnati, OH
Country: United States
Start Date: August 6, 2007
End Date: August 9, 2007
Funding Number(s)
CONTRACT_GRANT: NNS04AB67T
Distribution Limits
Public
Copyright
Other

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