A Study of SVDD-based Algorithm to the Fault Diagnosis of Mechanical Equipment System

In this paper, a new classification algorithm on one-class classification of mechanical faults based on support vector data description (SVDD) was proposed. The outlier objects can be distinguished from target objects if the information of the target class is available without knowing the outlier class by this algorithm. The machine condition can be monitored only using normal condition signals by applying this method to mechanical condition monitoring and fault diagnosis. It is unnecessary for this method to pre-process the signals to extract their features. The experimental results show that this algorithm has stronger classification ability and higher efficiency than conventional classification method of neural network. (C) 2012 Published by Elsevier B. V. Selection and/or peer review under responsibility of ICMPBE International Committee.