Real-Time Condition Assessment of RAPTOR Telescope Systems
Publication: Journal of Structural Engineering
Volume 139, Issue 10
Abstract
The RAPid Telescopes for Optical Response (RAPTOR) observatory network consists of several ground-based, autonomous, robotic, astronomical observatories primarily designed to search for astrophysical transients called gamma-ray bursts. To make these observations, however, the RAPTOR telescopes must remain in peak operating condition at a high duty-cycle. Currently, the telescopes are maintained in an ad hoc manner, often in a run-to-failure mode. The required maintenance logistics are further complicated by the fact that many of the observatories are situated in remote locations. To ameliorate this situation, an effort has been initiated to develop a structural health monitoring (SHM) system capable of real-time, remote assessment of the RAPTOR telescopes. This paper summarizes the results from that effort. Common damage scenarios are identified to guide the instrumentation of the telescope system. A comprehensive analysis of the data acquired during experimental testing is then presented, highlighting the capability of the SHM system to discern between damaged and undamaged states. The paper concludes with a summary of future planned refinements for the RAPTOR SHM system.
Get full access to this article
View all available purchase options and get full access to this article.
References
Ben-Haim, Y. (2006). Info-gap decision theory: Decisions under severe uncertainty, 2nd Ed., Academic Press, Oxford, U.K.
Borozdin, K. N., et al. (2002). “Real-time detection of optical transients with RAPTOR.” Proc. SPIE, 4847, 344–353.
Box, G. E., and Jenkins, G. M. (1976). Time series analysis: Forecasting and control, Rev. Ed., Holden-Day, San Francisco.
Duda, R. O., Hart, P. E., and Stork, D. G. (2001). Pattern classification, 2nd Ed., Wiley, New York.
Endevco. (2011). “Guide to adhesively mounting accelerometers.” 〈http://www.endevco.com/resources/tp_pdf/TP312.pdf〉 (Aug. 17, 2011).
Farrar, C. R., Doebling, S. W., and Nix, D. A. (2001). “Vibration-based structural damage identification.” Philos. Trans. R. Soc. London, Ser. A, 359(1778), 131–149.
Farrar, C. R., and Worden, K. (2007). “An introduction to structural health monitoring.” Philos. Trans. R. Soc. London, Ser. A, 365(1851), 303–315.
Figueiredo, E., Figueiras, J., Park, G., Farrar, C. R., and Worden, K. (2011). “Influence of the autoregressive model order on damage detection.” Comput. Aided Civ. Infrastruct. Eng., 26(3), 225–238.
Figueiredo, E., Park, G., Figueiras, J., Farrar, C., and Worden, K. (2009). “Structural health monitoring algorithm comparison using standard data sets.” Technical Rep. LA-14393, Los Alamos National Laboratory, Los Alamos, NM.
Kay, S. M. (1998). Fundamentals of statistical signal processing detection theory, Vol. II, Prentice Hall, Upper Saddle River, NJ.
Kramer, M. A. (1991). “Nonlinear principal component analysis using autoassociative neural networks.” AIChE J., 37(2), 233–243.
Lynch, J. P., Sundararajan, A., Law, K. H., Kiremidjian, A. S., Kenny, T., and Carryer, E. (2003). “Embedment of structural monitoring algorithms in a wireless sensing unit.” Struct. Eng. Mech., 15(3), 285–297.
Markel, J. (1972). “Digital inverse filtering—A new tool for formant trajectory estimation.” IEEE Trans. Audio Electroacoust., 20(2), 129–137.
PCB Piezotronics (2003). “Installation drawing model 352A24 accelerometer.” 〈http://www.pcb.com/contentstore/docs/PCB_Corporate/Vibration/Products/drawing/PDF/12331-B.pdf〉 (Aug. 17, 2011).
Stull, C. J., Hemez, F. M., and Farrar, C. R. (2012). “On assessing the robustness of structural health monitoring technologies.” Struct. Health Monit., 11(6), 712–723.
Vestrand, W. T., et al. (2002). “The RAPTOR experiment: A system for monitoring the optical sky in real time.” Proc. SPIE, 4845, 126–136.
Vestrand, W. T., et al. (2004). “RAPTOR: Closed-loop monitoring of the night sky and the earliest optical detection of GRB 021211.” Astron. Nachr., 325(6–8), 549–552.
Welch, P. (1967). “The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms.” IEEE Trans. Audio Electroacoust., 15(2), 70–73.
White, R. R. (2006). “Concepts.” Los Alamos Thinking Telescope Project, Los Alamos National Laboratory, 〈http://www.thinkingtelescopes.lanl.gov/Concepts.htm〉 (Apr. 4, 2011).
Information & Authors
Information
Published In
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Sep 20, 2011
Accepted: Dec 29, 2011
Published online: Jan 2, 2012
Published in print: Oct 1, 2013
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.