Large Tanning Machine Fault Detection Algorithm Research

Abstract

In fault detection process of large tanning machine, fault signal fluctuations are susceptibly caused by interference of external environment. The traditional methods are difficult to accurately classify fault detection of such random fluctuations, resulting in latter detection with low accuracy. To avoid these shortcomings, support vector algorithm based on least squares is proposed for fault detection of large tanning machine. Experimental results show that the algorithm can improve the accuracy of fault detection.