Fault Diagnosis Based on Support Vector Machines and Convex Hulls

Through the analysis of support vector machines principle, the theory of convex hull based on support vector machines is used for the fault diagnosis, with acme-set of convex hull replacing the entire sample set to train, then, use actual data to do the simulation. The simulation results show that this method has the same performance as learning by the entire sample set, but reduces the storage space and improves the learning speed.