A Framework to Debug Diagnostic Matrices

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 0s and 1s in the matrix, or
adding/removing the rows (failure sources) columns (tests). We will experiment this framework on datasets from DX
challenge 2009.