Hydropower unit fault diagnosis method based on convolution neural network information fusion

The invention discloses a hydropower unit fault diagnosis method based on convolution neural network information fusion. The method comprises the steps of: obtaining stability data at low, medium andhigh rotation speeds in the start-up process of a unit; respectively pre-processing the unit data at low, medium and high rotation speeds; respectively dividing the unit data at low, medium and high rotation speeds into a training set and a test set of convolution neural networks at corresponding rotation speeds; drawing a unit axis trajectory chart by respectively using the unit data at low, medium and high rotation speeds, furthermore, converting an axis trajectory image into a grey-scale image, and forming a matrix by contrasting the remaining information to be fused with the axis trajectory grey-scale image; respectively establishing the convolution neural networks by using the unit data at low, medium and high rotation speeds; respectively training the corresponding convolution neuralnetworks by using the uni