Model degradation effects on sensor failure detectionThis paper discusses the effects of imperfect modeling on the detection and isolation of sensor failures. For systems with non-zero set points, deterministic inputs or non-zero noise biases, the model mismatch appears as a bias on the stochastic innovation process. This bias, if left unaccounted for, would be sufficient to declare a false alarm failure in one or more sensors. A practical design procedure based upon the Generalized Likelihood Ratio (GLR) form uses a finite data window sequential t-test to detect and isolate model mismatch effects and soft sensor failures. Application to an eighth order model of the QCSEE turbofan engine is discussed.
Document ID
19820029608
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Leininger, G. G. (Purdue University West Lafayette, IN, United States)