A Frequency Domain Robust Model Validation Approach to Fault Detection and Isolation with Applications to Identification of Contaminants in Lubrication and Transformer oils

摘要

This paper addresses the problem of robust fault detection and isolation in dynamical systems using frequency domain data. Our main result shows that this problem can be reduced to a convex optimization problem that can be efficiently solved. The proposed method is put to test on a non-trivial, practically relevant problem: detecting the presence and estimating the composition of contaminants in lubrication and transformer oil.