Diagnostics is an important concept in system health and monitoring of space operations. Many of the existing diagnostic algorithms utilize system knowledge in the form of diagnostic matrix (D-matrix, also popularly known as diagnostic dictionary, fault signature matrix or reachability matrix). The D-matrix maps tests on observed conditions to failures. This matrix is mostly gleaned from physical models during system development. But, sometimes, this may not be enough to obtain high diagnostic performance during operation due to system modifications and lag and noise in sensor measurements. In such a case, it is important to modify this D-matrix based on knowledge obtained from sources such as time-series data stream (simulated or maintenance data) within a framework that includes the diagnostic/inference algorithm. A systematic and sequential update procedure, diagnostic modeling evaluator (DME) is proposed to modify D-matrix and wrapper/test logic considering the least expensive update first. The user sets the diagnostic performance criteria. This iterative procedure includes conditions ranging from modifying 0’s and 1’s in the matrix, adding/removing the rows (failure sources)/columns (tests), or modifying test/wrapper logic used to determine test results. We will experiment this framework on ADAPT datasets from DX challenge 2009.
How to Cite
Singh, S., Kodali, A., Choi, K., Pattipati, K., Namburu, S., Chigusa, S., Prokhorov, D.V., & Qiao, L. (2009). Dynamic multiple fault diagnosis: Mathematical formulations and solution techniques. IEEE Trans. Syst., Man, Cybern. A, vol. 39, no. 1, pp. 160–176.
Singh, S., Holland, S., & Bandyopadhyay, P. (2011). Trends in the development of system-level fault dependency matrices. IEEE Aerospace Conference, Big Sky, Montana.
Luo, J., Tu, H., Pattipati, K., Qiao, L., & Chigusa, S. (2006). Graphical models for diagnostic knowledge representation and inference. IEEE Instrum. Meas. Mag., vol. 9, no. 4, pp. 45–52.
Qualtech Systems Inc., www.teamqsi.com.
Simpson, W., & Sheppard, J. (1992). System Testability Assessment for Integrated Diagnostics. IEEE Des. Test. Comput., vol. 9, no. 1, pp. 40-54.
Kodali, A., Singh, S., & Pattipati, K. (2013). Dynamic set covering for real-time multiple fault diagnosis with delayed test outcomes. IEEE Trans. Syst., Man, Cyben. A, vol. 43, no. 3, pp. 547-562.
Kodali, A., Pattipati, K., & Singh, S. (2013). Coupled factorial hidden Markov models (CFHMM) for diagnosing multiple and coupled faults. IEEE Trans. Syst., Man, Cyben. A, vol. 43, no. 3, pp. 522-534.
Narasimhan, S., Balaban, E., Daigle, M., Roychoudhury, I., Sweet, A., Celaya, J., & Goebel, K. (2012) Autonomous decision making for planetary rovers using diagnostic and prognostic information. Proceedings of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS 2012), Mexico City, Mexico.
Poll, S., Patterson-Hine, A., Camisa, J., Garcia, D., Hall, D., Lee, C., Mengshoel, O., Neukom, C., Nishikawa, D., Ossenfort, J., Sweet, A., Yentus, S., Roychoudhury, I., Daigle, M., Biswas,
G., & Koutsoukos, X. (2007). Advanced diagnostics and prognostics testbed. In Proc. DX’07, pp. 178–185.
Kurtoglu, T., Narasimhan, S., Poll, S., A., Garcia, D., Kuhn, L., de Kleer, J., van Gemund, A., & Feldman, A. (2009). First international diagnostics competition – DXC’09. In Proc. DX’09.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.