The Application of Neural Networks Technology to the Roll Bearing Failure Diagnosis
Guoxin Zhang · Journal Os Southern Institute of Metallurgy · 2001
The paper the neural networks technology has been applied to the ball bearing failure diagnosis． Discuses the present situation of traditional failure diagnosis and the advantage of neural networks failure diagnosis． Traditional failure diagnosis expert system has trouble in getting and expressing knowledege and become very big when the system is big． It cannot work at line． Artificial neural networks has obvious advantage in storing and dealing with knowledege． In the end drawsup a diagnose program of neural networks failure diagnosis． This methode can judge accuratly work at line and is easy for diffusion．