Diagnosis using fault trees induced from simulated incipient fault case data
Paul J. Nolan · 1994
This paper presents comprehensive results describing the diagnosis of incipient faults based on fault trees derived using the IFT induction algorithm. The test system is a robot arm controlled by a pneumatic servo-mechanism. Detailed simulations using a nonlinear dynamic model were used to provide a training set of examples. The effectiveness of the diagnosis is demonstrated using comparative results based on a neural network approach