On-line fault diagnosis study for roller bearing based on fuzzy fault tree

Abstract

The roller bearings are commonly used in rotating machinery and play an important role. In this paper fuzzy theory and fault tree are used for On-line fault diagnosis of roller bearing. The principle of fuzzy diagnosis is taken as basics and symptom sets and faults sets are extracted through fault tree analysis. According to judgement rules the location of faults is made sure. Experiments show this method is effective for fault diagnosis of roller bearing.