THE APPLICATION OF PATTERN RECOGNITION TECHNIQUES IN FAULT DIAGNOSIS OF MACHINERY EQUIPMENT

摘要

In this paper,the characteristics of vibration signal of machinery in different runningconditions are statistically analysed,and some moments of statistical distribution of signalsare selected as the eigenvector to condense the state information.Here,we divide the statesof machinery into two:‘good’and‘aulty’,and the pattern recognition techniques are usedto classify the running conditions of machinery.At the end of this paper,the authors presentsome test data,and from the results obtained,it’s verified that the eigenvector selected isreliable and sensible to faults.And the results also show the effectiveness of classificationrule.