Research on Transformer Fault Based on Probabilistic Neural Network

Yingshun Li,Junfeng Han,Jingjing Li,J.W Gu,X.L Chen,E.H Liu

doi:10.1051/matecconf/20152503010

Abstract

With the development of computer science and technology, and increasingly intelligent industrial production, the application of big data in industry also advances rapidly, and the development of artificial intelli- gence in the aspect of fault diagnosis is particularly prominent. On the basis of MATLAB platform, this paper constructs a fault diagnosis expert system of artificial intelligence machine based on the probabilistic neural net- work, and it also carries out a simulation of production process by the use of bionic algorithm. This paper makes a diagnosis of transformer fault by the use of an expert system developed by this paper, and verifies that the probabilistic neural network has a good convergence, fault-tolerant ability and big data handling capability in the fault diagnosis. It is suitable for industrial production, which can provide a reliable mathematical model for the construction of fault diagnosis expert system in the industrial production.

Highlights

After the second industrial revolution, the application of a large number of machines promotes the development of human civilization, which is similar to the human medical diagnostic
(2) Expert system of connectionism mechanism. It focuses on the connection with the database and sharing platform, which is suitable for diagnosis in the industrial field
This paper constructs a fault diagnosis expert system based on MATLAB

Summary

INTRODUCTION

After the second industrial revolution, the application of a large number of machines promotes the development of human civilization, which is similar to the human medical diagnostic. People explore the industrial potential in the bionic algorithm, showing broad application prospects in many research fields. The scientific research fields of the bionic algorithm discussed include the following aspects:. It focuses on the connection with the database and sharing platform, which is suitable for diagnosis in the industrial field. The object-oriented programming language and database are widely used for real-time tracking and regulation. For teaching and scientific research, mastering its complex language is not conducive to the students to cultivate their interest. This paper constructs a fault diagnosis expert system based on MATLAB. This paper establishes a transformer fault diagnosis expert system based on the practical and efficient principle

MODELING

BP neural network theory

Probabilistic neural network theory

Fault diagnosis and simulation

CONCLUSION