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Integrated System Health Management: Foundational Concepts, Approach, and Implementation.Implementation of integrated system health management (ISHM) capability is fundamentally linked to the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system. It is akin to having a team of experts who are all individually and collectively observing and analyzing a complex system, and communicating effectively with each other in order to arrive to an accurate and reliable assessment of its health. We present concepts, procedures, and a specific approach as a foundation for implementing a credible ISHM capability. The capability stresses integration of DIaK from all elements of a system. The intent is also to make possible implementation of on-board ISHM capability, in contrast to a remote capability. The information presented is the result of many years of research, development, and maturation of technologies, and of prototype implementations in operational systems (rocket engine test facilities). The paper will address the following topics: 1. ISHM Model of a system 2. Detection of anomaly indicators. 3. Determination and confirmation of anomalies. 4. Diagnostic of causes and determination of effects. 5. Consistency checking cycle. 6. Management of health information 7. User Interfaces 8. Example implementation ISHM has been defined from many perspectives. We define it as a capability that might be achieved by various approaches. We describe a specific approach that has been matured throughout many years of development, and pilot implementations. ISHM is a capability that is achieved by integrating data, information, and knowledge (DIaK) that might be distributed throughout the system elements (which inherently implies capability to manage DIaK associated with distributed sub-systems). DIaK must be available to any element of a system at the right time and in accordance with a meaningful context. ISHM Functional Capability Level (FCL) is measured by how well a system performs the following functions: (1) detect anomalies, (2) diagnose causes, (3) predict future anomalies/failures, and (4) provide the user with an integrated awareness about the condition of every element in the system and guide user decisions.
Document ID
20090015066
Acquisition Source
Stennis Space Center
Document Type
Conference Paper
Authors
Figueroa, Fernando (NASA Stennis Space Center Stennis Space Center, MS, United States)
Schmalzel, John (NASA Stennis Space Center Stennis Space Center, MS, United States)
Walker, Mark (General Atomics Co. San Diego, CA, United States)
Venkatesh, Meera (General Atomics Co. San Diego, CA, United States)
Kapadia, Ravi (General Atomics Co. San Diego, CA, United States)
Morris, Jon (Jacobs Sverdrup Technology, Inc. Stennis Space Center, MS, United States)
Turowski, Mark (Jacobs Sverdrup Technology, Inc. Stennis Space Center, MS, United States)
Smith, Harvey (Jacobs Sverdrup Technology, Inc. Stennis Space Center, MS, United States)
Date Acquired
August 24, 2013
Publication Date
April 6, 2009
Subject Category
Computer Systems
Report/Patent Number
SSTI-2200-0106
Meeting Information
Meeting: AIAA Infotech@Aerospace Meeting
Location: Seattle, WA
Country: United States
Start Date: April 6, 2009
End Date: April 9, 2009
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNS08AA43A
CONTRACT_GRANT: NNS04AB67T
Distribution Limits
Public
Copyright
Public Use Permitted.

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