Comparison of Several Common Intelligent Fault Diagnosis Knowledge-Based Method under Nonlinear Small Sample Conditions

Abstract

This article compared several knowledge-based fault diagnosis methods which common used last ten years under nonlinear small sample condition. The main content focused on accuracy, speed, generalization and implementation. The comparison result of these methods showed the parameter optimizated surpport vector machines have higher efficiency and broad prospect.