Research And Implementation Of Partial Discharge Location Algorithm Based On Microphone Array

At present,ultrasonic detection technology is more and more widely used in the detection of partial discharge,high voltage discharge and gas leakage,and the location of fault points has gradually become the focus of research in various detection fields.However,the traditional multiple signal classification algorithm needs to perform a global search in the detection space.When searching and positioning,there is a contradiction between the positioning efficiency and the positioning accuracy,so it is difficult to meet the high precision and high efficiency at the same time.In order to solve the above technical problems,this subject proposes an ant colony optimization-multiple signal classification two-stage phase-controlled sound source localization algorithm based on macro-micro guidance,and conducts a numerical simulation of the algorithm.Finally,based on this algorithm,a set of algorithm verification experimental platform for partial discharge detection and localization is built,in which the acoustic wave signal of partial discharge is simulated by a piezoelectric sheet made of piezoelectric ceramics.Through the verification of numerical simulation and experimental platform,it can be concluded that the algorithm proposed in this thesis can greatly improve the efficiency of positioning calculation and also improve the positioning accuracy,and realize the highefficiency and high-precision detection and positioning of partial discharge.The main contents of this study are as follows:First,a two-stage phase-controlled localization algorithm is developed using the "macromicro" idea.The traditional one-dimensional ant colony optimization is extended to twodimensional,and the calculation formula of the transition probability of the ant colony is defined,which provides a theoretical basis for the two-dimensional "macro" positioning;The calculation formula of distance difference in the camera coordinate system and the spatial spectrum estimation function of the multiple signal classification algorithm are deduced;Finally,through these improved and derived formulas,the process of the two-stage phased positioning algorithm based on macro-micro-guided ant colony optimization-multiple signal classification is designed,and the complete algorithm code is developed.Then,numerical simulation is carried out according to the designed and developed ant colony optimization-multiple signal classification two-level localization algorithm.The relationship between the initial number of ant colonies and the localization calculation efficiency is studied,which provides a theoretical basis for the ant colony initialization in the "macro" localization of the ant colony optimization-multiple signal classification algorithm.Numerical simulations are carried out for a single sound source and two sound sources respectively,and numerical simulations are carried out for different signal-to-noise ratios and search steps;By comparing and analyzing the simulation results of the ant colony optimization-multiple signal classification algorithm and the traditional multiple signal classification algorithm,the following results are obtained: the ant colony optimizationmultiple signal classification algorithm can effectively locate the position of the single sound source and the double sound source,And it has higher positioning calculation efficiency and positioning accuracy,and is not sensitive to the search step distance.Finally,according to the signal characteristics of partial discharge,a microphone array circuit and amplifying circuit are designed,a hardware platform is built,and a software control platform is developed using LABVIEW;Using the built system,the piezoelectric sheet made of piezoelectric ceramics was used to simulate the acoustic wave signal generated by partial discharge,and the detection and positioning experiments were carried out to verify the accuracy and reliability of the numerical simulation analysis results.The numerical simulation and experimental results show that the numerical simulation and experimental results of the ant colony optimization-multiple signal classification two-level localization algorithm based on macro-micro guidance proposed in this thesis have high consistency,and can effectively solve the localization efficiency of sound source localization.and positioning accuracy.The proposed algorithm has important reference value for partial discharge detection and localization in practical engineering applications.