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Power transformer fault diagnosis method and system based on improved firefly algorithm optimization probabilistic neural network

A probabilistic neural network and firefly algorithm technology, which is applied in the field of power transformer fault diagnosis of firefly algorithm optimization of probabilistic neural network, can solve the problems of slow speed, oscillation and unsatisfactory results in the initial stage of algorithm optimization.

Inactive Publication Date: 2019-10-22
NANJING UNIV OF TECH
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Problems solved by technology

[0004] The existing technology is to use the firefly algorithm to optimize the probabilistic neural network, but the speed of the algorithm is slow in the initial stage of optimization, and oscillation will occur in the later stage of optimization, and the final result is not satisfactory

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  • Power transformer fault diagnosis method and system based on improved firefly algorithm optimization probabilistic neural network
  • Power transformer fault diagnosis method and system based on improved firefly algorithm optimization probabilistic neural network
  • Power transformer fault diagnosis method and system based on improved firefly algorithm optimization probabilistic neural network

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Embodiment Construction

[0117] In order to make the object, technical solution, and advantages of the present invention clearer, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0118] The technical solutions in the embodiments of the present invention will be clearly and completely described and discussed below in conjunction with the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all examples. Based on the present invention All other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0119] Such as figure 1 Shown, the present invention provides a kind of power transformer fault diagnosis method based on improved firefly algorithm (PFA) optimization probabilistic neural network (PNN), comprises the steps:

[0120] St...

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Abstract

The invention discloses a power transformer fault diagnosis method based on an improved firefly algorithm (PFA) optimized probabilistic neural network (PNN). The power transformer fault diagnosis method comprises the following steps: firstly, collecting fault characteristic gas by using a gas chromatographic analysis method and carrying out pretreatment by using a fused DGA algorithm; initializinga PNN neural network, a firefly algorithm and a two-dimensional particle swarm; taking the PNN smoothing factor as a firefly individual, and calculating the position and brightness of the firefly; feeding the solving result of each firefly algorithm back to the particle swarm algorithm, carrying out fitness evaluation on each particle, and updating the positions and speeds of the particles; carrying out loop iteration, substituting the obtained optimal smoothing factor into the PNN to carry out fault prediction, and training a PNN model after PFA optimization; inputting a test sample, and outputting a fault type result, thereby achieving the fault diagnosis of the power transformer. The method is high in search speed, high in diagnosis precision, small in error, and obvious in classification effect.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method, in particular to a power transformer fault diagnosis method based on an improved firefly algorithm (PFA) optimized probabilistic neural network (PNN), belonging to the field of power transformer fault diagnosis. Background technique [0002] The power transformer is one of the most important electrical equipment in the power system, and it is also one of the electrical equipment that causes the most accidents in the power system. Its operating status directly affects the safety level of the system. It is an important issue concerned by the power sector to discover latent faults of transformers in time, ensure the safe operation of transformers, and improve the reliability of power supply. Therefore, it is of great practical significance to study transformer fault diagnosis technology and improve the operation and maintenance level of transformers. [0003] Dissolved Gas Analysis (DGA) in t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06N3/04G06N3/08G06K9/62
CPCG06N3/006G06N3/086G06N3/047G06F18/241
Inventor 易辉顾梦埙李红涛张杰黄阅黄瑾
Owner NANJING UNIV OF TECH
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