The objective of the work reported herein was to use a systems engineering approach to guide development of integrated instrumentation/sensor systems (IISS) incorporating communications, interconnections, and signal acquisition. These require enhanced suitability and effectiveness for diagnostics and health management of aerospace equipment governed by the principles of Condition-based maintenance (CBM). It is concluded that the systems engineering approach to IISS definition provided clear benefits in identifying overall system requirements and an architectural framework for categorizing and evaluating alternative architectures, relative to a bottom up focus on sensor technology blind to system level user needs. CBM IISS imperatives identified include factors such as tolerance of the bulk of aerospace equipment operational environments, low intrusiveness, rapid reconfiguration, and affordable life cycle costs. The functional features identified include interrogation of the variety of sensor types and interfaces common in aerospace equipment applications over multiplexed communication media with flexibility to allow rapid system reconfiguration to adapt to evolving sensor needs. This implies standardized interfaces at the sensor location (preferably to open standards), reduced wire/connector pin count in harnesses (or their elimination through use of wireless communications). 1. Scope, Objectives, and Methods This article paper the instrumentation and sensors employed to support condition-based maintenance (CBM) of aerospace equipment, sensing the condition of equipment and components (state and operation) needed to enable diagnostics triggering necessary maintenance actions. It encompasses such instrumentation and sensors, plus the signal acquisition function and the intervening communication media, thus “integrated instrumentation/sensor systems” [IISS]. The focus is on IISS application to diagnostics and health management (DHM) enabling more cost effective CBM for the complex mechanical systems required for propulsion & power, environmental control, flight control, and other essential functions that are weight and volume constrained, tightly integrated with other systems and vehicle structure, and exposed to the full rigors of the flight envelope and environment. Modern aerospace equipment control systems include many control sensors that may also serve CBM functions. However, IISS are being proposed and deployed for aerospace equipment diagnostics and health management (DHM) (as described by Urban [1], Litt et al. [2], and Paris et al. [3]) to
References
[1]
L. A. Urban, “Gas path analysis applied to turbine engine conditioning monitoring,” in Proceedings of the AIAA Joint Propulsion Conference, December 1972, Paper 72-1082.
[2]
J. S. Litt, D. L. Simon, S. Garg et al., “A survey of intelligent control and health management technologies for aircraft propulsion systems,” Journal of Aerospace Computing, Information and Communication, vol. 1, no. 12, pp. 543–563, 2004.
[3]
D. E. Paris, L. C. Trevino, and M. D. Watson, “A framework for integration of IVHM technologies for intelligent integration for vehicle management,” in Proceedings of the IEEE Aerospace Conference, March 2005.
[4]
A. M. Madni, “Smart configurable wireless sensors and actuators for industrial monitoring and control,” in Proceedings of the 3rd International Symposium on Communications, Control, and Signal Processing (ISCCSP '08), pp. 447–448, March 2008.
[5]
A. Behbahani, R. C. Millar, and B. Tulpule, “Vision for next generation Modular Adaptive Generic Integrated Controls (MAGIC) for military/commercial turbine engines,” in Proceedings of the AIAA Joint Propulsion Conference, pp. 6921–6932, July 2007, paper no 007-5710.
[6]
D. E. Culley and A. Behbahani, “Communication Needs Assessment for Distributed Turbine Engine Control,” NASA/TM-2008-215419, 2008.
[7]
B. Tulpule, A. Behbahani, and R. Millar, Vision for Next Generation Modular Adaptive Generic Integrated Controls (MAGIC) for Military/Commercial Turbine Engines, American Institute of Aeronautics and Astronautics, 2007.
[8]
X. Xu, Q. Liu, and G. Wu, “Restudying on the concept, mechanism and composition of instrumentation flexible developing system,” in Proceedings of the 9th International Conference on Electronic Measurement and Instruments (ICEMI '09), pp. 3269–3274, August 2009.
[9]
R. C. Millar and B. Tulpule, “Intelligent sensor node as an approach to integrated instrumentation & sensor systems for aerospace systems control,” in Proceedings of the AIAA Infotech at Aerospace, St. Louis, Mo, USA, March 2011.
[10]
S. Abad, “Fiber Bragg grating sensor applications for thermal monitoring in satellites,” in Proceedings of the International Conference of Space Optics, Toulouse, France, October 2008.
[11]
R. C. Millar, Patent No. 7, 091, 472 B1, USA, 2006.
[12]
N. Mrad and G. Z. Xiao, “Multiplexed fiber bragg gratings for potential aerospace applications,” in Proceedings of the International Conference on MEMS, NANO and Smart Systems, pp. 359–363, 2005.
[13]
Luna Innovations Inc., “SBIR N06-121, Open Architecture Fiber Optic Engine Monitoring System,” 2010, http://www.navysbir.com/06_2/14.htm.
[14]
M. A. Fonseca, J. M. English, M. von Arx, and M. G. Allen, “Wireless micromachined ceramic pressure sensor for high-temperature applications,” Journal of Microelectromechanical Systems, vol. 11, no. 4, pp. 337–343, 2002.
[15]
Anon, “Passive Wireless Sensor Systems for Harsh Environments, Environetics Technology Corporation,” 18 July 2011, http://www.environetix.com/files/Environetix_Wireless_Harsh_Environment_Sensors_and_Systems.pdf.
[16]
O. Gregory, J. Conkle, and T. Birnbaum, “Wireless temperature sensor for gas turbine engine applications,” in Proceedings of the 56th International Instrumentation Symposium, pp. 177–200, Rochester, Vt, USA, May 2010.
[17]
Syntonics LLC and SBIR N08-037, “High Temperature Sensing Parameters,” 2010, http://www.navysbir.com/08_1/103.htm.
[18]
J. B. Friedlander, Wireless strain measurement with surface acoustic wave sensors [M.S. thesis], Graduate School of The Ohio State University, 2011.