Distribution network device state assessment method based on neural network

Abstract

The invention relates to a distribution network device state assessment method based on a neural network. The technical feature is that the distribution network device state assessment method based on the neural network includes following steps: building a distribution network device neuron model according to relevant information of distribution network devices; obtaining a distribution network device neural network by clustering and analyzing state information of the distribution network devices; storing the state information of all the distribution network devices which need state assessment and information of the distribution network device neural network in a database; when updating the state information of one specific distribution network device, using state information of another distribution network device correlative with the specific distribution network device through nerves, at the same dimensionality as the specific distribution network device, for updating; using a neural network algorithm to output a state assessment result of the distribution network devices. The distribution network device state assessment method based on the neural network is reasonable in design, not only fully uses abundant distribution network fault and defect information and the state quantity information of the distribution network devices, but also reflects integrality of the distribution network devices, and can perform accurate health condition assessment on the distribution network devices.

Description

technical field [0001] The invention belongs to the technical field of distribution network equipment, in particular to a method for evaluating the state of distribution network equipment based on a neural network. Background technique [0002] With the in-depth development of distribution network equipment maintenance work, the evaluation and evaluation of distribution network equipment status is becoming more and more important. At present, the state evaluation of distribution network equipment is mostly based on the state quantity information of the equipment itself, such as infrared temperature measurement, routine inspection and so on. The traditional status evaluation of distribution network equipment faces two difficulties: First, due to the variety, quantity and wide distribution of distribution network equipment, when obtaining the status information of the distribution network equipment used, the workload is very heavy. Under certain conditions, this work is almos...

AI Technical Summary

Problems solved by technology

The traditional status evaluation of distribution network equipment faces two difficulties: First, due to the variety, quantity and wide distribution of distribution network equipment, when obtaining the status information of the distribution network equipment used, the workload is very heavy. Under certain conditions, this work is almost impossible to complete; second, the routine test cycle of distribution network equipment is long, and it is impossible to obtain effective equipment status information for a considerable period of time

To sum up, the existing distribution network equipment status assessment methods generally have the problem of a large number of equipment and a small amount of status information.

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