Integrated System Health Management: Foundational Concepts, Approach, and Implementation

Figueroa, Fernando; Schmalzel, John; Walker, Mark; Venkatesh, Meera; Kapadia, Ravi; Morris, James F.; Turowski, Mark; Smith, Harvey E.

doi:10.2514/6.2009-1915

Cited by 21 publications

(17 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concept of an ISHM Domain Model (ISHM-DM) has been introduced previously [4,5]. ISHM-DM embodies DIaK that is needed to achieve ISHM capability; including system element identification and specifications, and inter-element relationships used in reasoning approaches.…”

Section: B Ishm Knowledge Model (Ishm-dm)mentioning

confidence: 99%

“…A software environment developed by NASA Stennis Space Center and General Atomics [4,6,7, and 8] meets most of the requirements above. The software was developed using G2 [9], which is a commercial programming environment for implementation of intelligent applications.…”

Section: Software Capabilities To Develop Ishm Domain Modelsmentioning

confidence: 99%

“…The final objective is to determine the health of sensors and components; and do it with maximum utilization of DIaK embodied in the various layers of processes in the hierarchy. This approach is described in reference [4]. …”

mentioning

confidence: 99%

See 2 more Smart Citations

Integrated Systems Health Management for Intelligent Systems

Figueroa

Melcher

2011

Infotech@Aerospace 2011

View full text Add to dashboard Cite

The implementation of an 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 at an accurate and reliable assessment of its health. In this paper, concepts, procedures, and approaches are presented as a foundation for implementing an intelligent systems-relevant ISHM capability. The capability stresses integration of DIaK from all elements of a system. Both ground-based (remote) and on-board ISHM capabilities are compared and contrasted. The information presented is the result of many years of research, development, and maturation of technologies, and of prototype implementations in operational systems. Purpose/MotivationIn this paper, Integrated Systems Health Management (ISHM) is presented as an enabling technology for intelligent systems. To that end, a variety of intelligent systems-relevant ISHM topics are addressed and examples presented. The information presented should provide the reader with an understanding of current research and challenges that are relevant to ISHM as one element of an intelligent system. ISHM has been defined from many perspectives. Here it is defined as a capability that is achieved by integrating data, information, and knowledge (DIaK) that might be distributed throughout the system elements (which inherently implies the capability to manage DIaK associated with distributed subsystems). 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 important elements of the system as a means of guiding user decisions. Scope/OrganizationThe paper opens with a glossary of relevant ISHM terms. Because the development of an ISHM system is interdisciplinary by nature, terminology is seldom consistently used. It is, therefore important to define the basic terminology that will be used to support ensuing discussions. The paper then describes a process for developing an ISHM capability -standards, qualitative failure models, and optimization of sensor selection and placement are addressed as a part of the development process. Next, an ISHM knowledge domain model is defined that is particularly suited to intelligent systems. This model is based on Data, Information, and Knowledge (DIaK) of the system. This knowledge model is used as the basis for Intelligent ISHM architectures for ground-based (remote) and onboard flight (manned and unmanned) systems. Elements (e.g., diagnostics, prognostics) of the architectures are subsequently descri...

show abstract

Section: B Ishm Knowledge Model (Ishm-dm)mentioning

confidence: 99%

Section: Software Capabilities To Develop Ishm Domain Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Systems Health Management for Intelligent Systems

Figueroa

Melcher

2011

Infotech@Aerospace 2011

View full text Add to dashboard Cite

show abstract

“…The level of automated integration and reasoning over multiple process models that is desired in ISHM, is minimally represented by current implementations. We describe a pilot implementation that emphasizes integrated reasoning; based on concepts, architectures, and tools previously published by the authors [1,[4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…This paper will use the definition from reference [1]: Figure 1). Simulated altitude will be achieved by flowing high speed steam through a diffuser.…”

Section: Introductionmentioning

confidence: 99%

Integrated System Health Management: Pilot Operational Implementation in a Rocket Engine Test Stand

Figueroa

Schmalzel

Morris

et al. 2010

AIAA Infotech@Aerospace 2010

Self Cite

View full text Add to dashboard Cite

I. AbstractHIS paper describes a credible implementation of integrated system health management (ISHM) capability, as a pilot operational system. Important core elements that make possible fielding and evolution of ISHM capability have been validated in a rocket engine test stand, encompassing all phases of operation: stand-by, pre-test, test, and post-test. The core elements include an architecture (hardware/software) for ISHM, gateways for streaming real-time

show abstract