Eg. Laukonen et al., FAULT-DETECTION AND ISOLATION FOR AN EXPERIMENTAL INTERNAL-COMBUSTIONENGINE VIA FUZZY IDENTIFICATION, IEEE transactions on control systems technology, 3(3), 1995, pp. 347-355
Citations number
18
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control","Engineering, Eletrical & Electronic
Certain engine faults can be detected and isolated by examining the pa
ttern of deviations of engine signals from their nominal unfailed valu
es. In this brief paper, we show how to construct a fuzzy identifier t
o estimate the engine signals necessary to calculate the deviation fro
m nominal engine behavior, so that we may determine if the engine has
certain actuator and sensor ''calibration faults.'' We compare the fuz
zy identifier to a nonlinear ARMAX technique and provide experimental
results showing the effectiveness of our fuzzy identification based fa
ilure detection and identification strategy.