摘要
Abstract
This article designs a low-voltage power line broadband carrier HPLC networking program fault diagnosis method based on LSTM(Long Short Term Memory Network).Firstly,perform dimensionality reduction on the faults of the HPLC networking program to form the fault information attribute matrix of the HPLC networking program.Then,perform coordinate transformation and linear combination to successfully collect the fault data of the HPLC networking program.After data cleaning and preprocessing,feature parameters that reflect the running status and performance of HPLC networking programs are extracted by analyzing the preprocessed data.By utilizing the redundancy relationship of fault information in HPLC networking programs,the energy function of the training process for learning the HPLC networking program fault diagnosis model was defined,and a communication network blocking fault diagnosis model was successfully constructed.For the location of HPLC networking program faults,it is necessary to check from aspects such as network connection,control program,hardware equipment,laboratory environment,etc.Finally,the experimental results show that the designed LSTM based fault diagnosis method for low-voltage power line broadband carrier HPLC networking program has an error between fault parameters and actual fault parameters within 0.05,proving that the designed method is better and more accurate.关键词
LSTM/低压/电力线/宽带载波/HPLC/组网程序Key words
LSTM/low pressure/power lines/broadband carrier/HPLC/networking program分类
信息技术与安全科学
