Abstract
Integrated System Health Management (ISHM) describes a set of system capabilities that in aggregate perform: determination of condition for each system element, detection of anomalies, diagnosis of causes for anomalies, and prognostics for future anomalies and system behavior. The ISHM should also provide operators with situational awareness of the system by integrating contextual and timely data, information, and knowledge (DIaK) as needed. ISHM capabilities can be implemented using a variety of technologies and tools. This chapter provides an overview of ISHM contributing technologies and describes in further detail a novel implementation architecture along with associated taxonomy, ontology, and standards. The operational ISHM testbed is based on a subsystem of a rocket engine test stand. Such test stands contain many elements that are common to manufacturing systems, and thereby serve to illustrate the potential benefits and methodologies of the ISHM approach for intelligent manufacturing.
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References
http://www.exploration.nasa.gov.
Aaseng, G. B., 2001, “Blueprint for an Integrated Vehicle Health Management System,” Proceedings of 20 th Conference on Digital Avionics Systems, pp. 3C1/1–3C1/11.
Figueroa, F. and Mahajan, A., 1993, “Generic Model of an Autonomous Sensor,” Proceedings of the ASME Dynamic Systems and Control Division, 50, pp. 183–191.
Koushanfar, F., Potkonjak, M. and Sangiovanni-Vincentelli, A., 2003, “On-line Fault Detection of Sensor Measurements,” Proceedings of the IEEE Sensors Conference, 2, pp. 974–979.
Biel, L. and Wide, P., 2002, “An Intelligent Model Approach for Combination of Sensor Information,” Proceedings of the IEEE International Workshop on Haptic Virtual Environments and Their Applications, pp. 43–48.
Huadong, W., Siegel, M., Stiefelhagen, R. and Jie, Y., 2002, “Sensor Fusion Using Dempster-Shafer Theory [for Context-aware HCI],” Proceedings of the 19 th Instrumentation and Measurement Technology Conference, 1, pp. 7–12.
Muldoon, S. E., Kowalczyk, M. and Shen, J., 2002, “Vehicle Fault Diagnostics Using a Sensor Fusion Approach,” Proceedings of the IEEE Sensors Conference, 2, pp. 1591–1596.
Oza, N. C., Polikar, R., Kittler, J. and Roli, F., Eds., 2005, Proceedings of the 6 th International Workshop on Multiple Classifier Systems.
http://www.aviationweek.com/shownews/03paris/topstor3_16.htm.
Ramohalli, G., 1994, “Honeywell’s Aircraft Monitoring and Diagnostic Systems for the Boeing 777,” Proceedings of the 17 th Symposium on Aircraft Integrated Monitoring Systems, pp. 69–71, 73–87.
Zuniga, F. A., Maclise, D. C., Romano, D. J., Jize, N. N., Wysocki, P. F. and Lawrence, D. P., 2005, “Integrated Systems Health Management for Exploration Systems,” Proceedings 1 st Space Exploration Conference: Continuing the Voyage of Discovery, AIAA 2005–2586.
Davidson, M. and Stephens, J., 2004, “Advanced Health Management System for the Space Shuttle Main Engine,” Proceedings 40 th AIEE/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, AIAA 2004–3912.
http://www.nasa.gov/pdf/1975main_shuttle.pdf.
Jue, F. and Kuck, F., 2002, “Space Shuttle Main Engine (SSME) Options for the Future Shuttle,” Proceedings 38 th AIEE/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, AIAA 2002–3758.
Schweikhard, K. A., Theisen, J., Mouyos, W. and Garbo, R., 2001, “Flight Demonstration of X-33 Vehicle Health Management System Components on the F/A-18 Systems Research Aircraft,” NASA/TM-2001-209037.
Bajwa, A. and Sweet, A., 2002, “The Livingstone Model of a Main Propulsion System,” RIACS Technical Report 03.04. Available at http://www.riacs.edu/trs/.
Prosser, W. H., Allison, S. G., Woodard, S. E., Wincheski, R. A., Cooper, E. G., Price, D. C., Hedley, M., Prokopenko, M., Scott, D. A., Tessler, A. and Spangler, J. L., 2004, “Structural Health Management for Future Aerospace Vehicles,” Proceedings of the 2 nd Australian Workshop on Structural Health Management.
Hammett, R. C., 2001, “Networking Intelligent Components to Create Intelligent Spacecraft,” Proceedings of the IEEE Aerospace Conference, 5, pp. 2209–2215.
http://grouper.ieee.org/groups/1451/0/.
Lee, K., 2001, “Sensor Networking and Interface Standardization,” Proceedings of the 18 th IEEE Conference on Instrumentation and Measurement Technology, pp. 147–152.
Liu, S. C., Tomizuka, M. and Shoureshi, R., 2003, “Strategic Research for Sensors and Smart Structures Technology,” Proceedings of 1 st International Conference on Structural Health Monitoring and Intelligent Infrastructure.
Schmalzel, J., Figueroa, F., Morris, J., Mandayam, S. and Polikar, R., 2004, “An Architecture for Intelligent Systems Based on Smart Sensors,” Proceedings of the 21 st IEEE Conference on Instrumentation and Measurement Technology, pp. 71–75.
http://www.gensym.com.
http://www.systranfederal.com.
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Figueroa, F., Schmalzel, J. (2006). Rocket Testing and Integrated System Health Management. In: Wang, L., Gao, R.X. (eds) Condition Monitoring and Control for Intelligent Manufacturing. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/1-84628-269-1_15
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DOI: https://doi.org/10.1007/1-84628-269-1_15
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