Periodic prediction neural network based industrial data fault prediction method
A predictive neural network and fault prediction technology, applied in electrical testing/monitoring, testing/monitoring control systems, instruments, etc., can solve problems such as incomplete data, difficult fault analysis and prediction, and scarce fault data, so as to improve training speed , improve the quality of forecasting, and improve the effect of forecasting accuracy
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[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0017] Such as figure 1 As shown, the specific design of the model in a periodic prediction neural network-based industrial data fault prediction method is detailed:
[0018] The periodic prediction neural network model is mainly based on GRU, namely Gated Recurrent Unit. According to the characteristics of periodic data, redesign the periodic prediction neural network model, focusing on the design of neuron connection mode and loss function.
[0019] The ne...
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