基于LabVIEW的故障检测系统的开发

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-05-01 DOI:10.1109/ICEEE2.2018.8391321

Lin Sun, Di Wang

{"title":"基于LabVIEW的故障检测系统的开发","authors":"Lin Sun, Di Wang","doi":"10.1109/ICEEE2.2018.8391321","DOIUrl":null,"url":null,"abstract":"This article has designed a set of remote control and fault detection system based on neural network model, according to the requirement for failure automatic detection of multifunctional massage-chair. On the one hand, the PC remotely controls IPC using Web and analyzes data; On the other hand, the IPC wirelessly transmits collecting data and feedback code to the PC using DataSocket technology. The detection thresholds are obtained through training initial data using PLS-BP&PLS-RBF network. And the detection parameters are calculated through analyzing the new data. When the detection parameters exceed the threshold, the indicator will be triggered to alarm. The system detects the state of massage-chair and determines the position of fault occurring which has achieved the purpose of intelligent autodetection.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"11 1","pages":"157-161"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The development of fault detection system based on LabVIEW\",\"authors\":\"Lin Sun, Di Wang\",\"doi\":\"10.1109/ICEEE2.2018.8391321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article has designed a set of remote control and fault detection system based on neural network model, according to the requirement for failure automatic detection of multifunctional massage-chair. On the one hand, the PC remotely controls IPC using Web and analyzes data; On the other hand, the IPC wirelessly transmits collecting data and feedback code to the PC using DataSocket technology. The detection thresholds are obtained through training initial data using PLS-BP&PLS-RBF network. And the detection parameters are calculated through analyzing the new data. When the detection parameters exceed the threshold, the indicator will be triggered to alarm. The system detects the state of massage-chair and determines the position of fault occurring which has achieved the purpose of intelligent autodetection.\",\"PeriodicalId\":6482,\"journal\":{\"name\":\"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)\",\"volume\":\"11 1\",\"pages\":\"157-161\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE2.2018.8391321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE2.2018.8391321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文根据多功能按摩椅故障自动检测的要求，设计了一套基于神经网络模型的远程控制与故障检测系统。一方面，PC机通过Web远程控制IPC并进行数据分析;另一方面，IPC利用DataSocket技术将采集数据和反馈码无线传输到PC机。采用PLS-BP&PLS-RBF网络对初始数据进行训练，得到检测阈值。并通过对新数据的分析，计算出检测参数。当检测参数超过阈值时，会触发指示灯产生告警。该系统检测按摩椅的状态，确定故障发生的位置，达到智能自动检测的目的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The development of fault detection system based on LabVIEW

This article has designed a set of remote control and fault detection system based on neural network model, according to the requirement for failure automatic detection of multifunctional massage-chair. On the one hand, the PC remotely controls IPC using Web and analyzes data; On the other hand, the IPC wirelessly transmits collecting data and feedback code to the PC using DataSocket technology. The detection thresholds are obtained through training initial data using PLS-BP&PLS-RBF network. And the detection parameters are calculated through analyzing the new data. When the detection parameters exceed the threshold, the indicator will be triggered to alarm. The system detects the state of massage-chair and determines the position of fault occurring which has achieved the purpose of intelligent autodetection.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)

自引率

0.00%

发文量