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。%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.
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