Fault diagnosis and early warning method based on multi-source data fusion and convolutional twin neural network
A neural network and multi-source data technology, which is applied in the field of fault diagnosis and early warning based on multi-source data fusion and convolution twin neural network, can solve problems such as new hidden dangers, insufficient maintenance, and excessive maintenance, and improve the efficiency of fault diagnosis Effect
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[0074] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with some aspects of the invention as recited in the appended claims.
[0075] In order to realize online fault monitoring of power transformers through artificial intelligence and deep learning, this embodiment provides a fault diagnosis and early warning method based on multi-source data fusion and convolutional twinning neural network, see figure 1 , the diagnosis method includes the following steps:
[0076] S1: collect the vibration information of the power transfor...
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