A Reliability Evaluation Method for Power Communication Network Equipment Based on Capsule Network
A technology of network equipment and power communication, applied in biological neural network models, data processing applications, instruments, etc., can solve the problems of inconvenient and accurate evaluation of the reliability of power communication network equipment, prediction methods relying on manual preprocessing, feature extraction, etc. , to achieve the effect of improving versatility and deployment convenience, convenient and fast training and deployment, and achieving accurate evaluation
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Embodiment 1
[0038] A method for evaluating the reliability of power communication network equipment based on a capsule network, comprising steps:
[0039] The reliability evaluation of the equipment is carried out through the trained power communication network equipment reliability evaluation model;
[0040] The power communication network equipment reliability assessment model is constructed based on the capsule network and obtained through training of original data and generated disturbance data.
[0041] Further, the input of the power communication network equipment reliability evaluation model is: text information of operation and maintenance data; the output is: the number of possible failures of equipment in a certain period in the future.
[0042] The model building process is:
[0043] The text information of the operation and maintenance data is processed by the word embedding method to obtain the input word vector, and the input word vector is extracted with convolution filte...
Embodiment 2
[0065] A method for evaluating the reliability of power communication network equipment based on a capsule network, comprising steps:
[0066] Step 1. Construct a reliability evaluation model for power communication network equipment with the capsule network as the core;
[0067] The overall framework of the capsule network model adopted in the present invention is as follows: figure 1 shown. The framework is built on top of general natural language processing frameworks and adapted to the problem of device reliability assessment. The model uses text information with a unified structure as the network input, so the long-term operation and maintenance data of the power network with different structures can be directly used as the original text to input the unified neural network structure. The input signal (that is, the input of the neural network structure) can be processed by the common word embedding method to obtain the input word vector of the same dimension. Feature ex...
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