A Framework to Debug Diagnostic Matrices

Anuradha Kodali, Peter Robinson, and Ann Patterson-Hine
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phmc_13_055.pdf691.72 KBSeptember 14, 2013 - 10:54am

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) gleaned from physical models. But, sometimes, this may not be coherent to obtain high diagnostic performance. In such a case, it is important to modify this D-matrix based on knowledge obtained from other sources such as time-series data stream (simulated or maintenance data) within the context of 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 logic considering least expensive solution first. This iterative procedure includes conditions ranging from modifying 0’s and 1’s in the matrix, or adding/removing the rows (failure sources)/columns (tests). We will experiment this framework on competition datasets from DX challenge 2009.

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Model-based methods for fault detection, diagnostics, and prognosis
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