冶金动力
冶金動力
야금동력
METALLURGICAL POWER
2013年
10期
67-69
,共3页
TRT%故障诊断%查询%研究
TRT%故障診斷%查詢%研究
TRT%고장진단%사순%연구
TRT%fault diagnosis%inquiry%study
根据远程在线识别TRT系统故障的判据，深入研究了TRT多故障源特性提取及各种故障机理，探索快速有效的故障诊断与预测方法，并基于ASP.NET+SQL Server环境平台，开发出了高炉TRT故障诊断专家查询系统。为TRT快速故障查询及恢复提供了参考依据。
根據遠程在線識彆TRT繫統故障的判據，深入研究瞭TRT多故障源特性提取及各種故障機理，探索快速有效的故障診斷與預測方法，併基于ASP.NET+SQL Server環境平檯，開髮齣瞭高爐TRT故障診斷專傢查詢繫統。為TRT快速故障查詢及恢複提供瞭參攷依據。
근거원정재선식별TRT계통고장적판거，심입연구료TRT다고장원특성제취급각충고장궤리，탐색쾌속유효적고장진단여예측방법，병기우ASP.NET+SQL Server배경평태，개발출료고로TRT고장진단전가사순계통。위TRT쾌속고장사순급회복제공료삼고의거。
According to the criterion of remote fault judgment and online identification of TRT system, the TRT extraction of multiple faults characteristics and the mechanisms of various faults were thoroughly studied and the methods of fast effective fault diagnosis and prediction were explored. A TRT fault diagnosis and inquiry expert system for blast furnace based on the ASP.NET+SQL Server platform was developed, to provide reference for TRT fast fault inquiry and recovery.
