ROBUST FAULT DETECTION AND DIAGNOSISON DYNAMIC SENSOR NETWORK

摘要

A method of analyzing time-series data includes accessing time-series data of one or more components of an industrial asset, selecting a period of interest from the time-series data. For each of the one or more components, calculating a first iteration of an eigen-value matrix, then calculating a rank-k eigen vector based on each element of the first iteration eigen-value matrix, after calculating the rank-k eigen vector for each first iteration eigen-value matrix, then for each element in the rank-k eigen vector calculating a second iteration eigen-value matrix. Then calculating a fault score for the selected period of interest, and calculating a root-cause indicator vector for the selected period of interest. Generating graphical representations of both the fault score and root-cause indicator. Providing in the graphical representations visual indications of fault regions and root-cause components above a predetermined threshold. A system and a non-transitory computer-readable medium are also disclosed.