Study on integrated fault diagnosis system based on neural network data fusion technology
Weiping Sun · Hebei Journal of Industrial Science and Technology · 2010
The neural network data fusion technology based system is designed to collect the motor vibration signals and current and voltage signals.The data is processed in real-time and partial diagnosed with neural network,then global analysis for the fault signals is conducted with data fusion techniques to determine the exact type of electrical fault.Through practical experience,the neural network data fusion technology,applied in fault diagnosis,has the advanteges of high identification probability,conveniences and high accuracy.