A fault diagnosis method and system based on big data

The invention discloses a fault diagnosis method and system based on big data, and the method comprises the steps of collecting thehistorical fault parameters of equipment, carrying out the list coding, and obtaining the characteristic values of the fault parameters as training samples; detecting operation state parameters of the equipment, and extracting characteristic parameter values of the detection parameters in a time sequence manner; performing aggregation processing on the characteristic parameter values under the multivariate time sequence through an aggregation algorithm, and takingthe characteristic parameter values as detection samples; establishing a fault infinite depth neural network; establishing an expected target quantity by taking a training sample as input, training the network, and determining connection weights and deviations among neurons in the network; after comparing the output quantity with the expected target quantity, determining the fault state of the equipment; and updating the