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Development and Application of Intelligent Early Fault Warning Platform for Coal Mills in Large Coal-Fired Power Units
编号：181 访问权限：仅限参会人 更新：2026-10-19 18:08:14 浏览：1次 张贴报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

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摘要
Coal mills in large coal-fired power units operate under strongly coupled multivariable conditions, time varying loads, and slow degradation processes, which are difficult to detect using conventional alarm logic. Distributed control system (DCS) typically relies on fixed thresholds for single parameter, which can delay warnings, miss incipient faults, and generate large numbers of low value alarms for operators. In this work, an integrated intelligent monitoring framework for coal mills that combines platform data support, multiparameter fault warning, and quantitative health assessment is developed. Initially, a hierarchical early warning platform is established for thermal power plants by integrating dedicated communication interfaces with an efficient data processing architecture, thereby addressing the limited computing capacity and restricted data interaction of conventional monitoring systems. Subsequently, a multiparameter state estimation technique (MSET) is introduced with online dynamic memory matrix updating and adaptive threshold setting to capture weak early fault signatures. Moreover, a reconstruction and similarity assessment model based on a deep neural network (DNN) is used to continuously quantify coal mill health by exploiting nonlinear relationships among multiple process variables. The on-site application results show that the warning accuracy of this system exceeds 90%, which significantly enhances the intelligent monitoring level of unit operation and demonstrates promising engineering application value.
 
关键词
Coal-fired power units, multivariate state estimation, deep neural network, health assessment, warning platform
报告人
Mingyang Qin
Phd Harbin Institute of Technology

稿件作者
Mingyang Qin Harbin Institute of Technology
Pengyu Jiang China Datang Group Science and Technology Research General Institute
Yafei Xu Zhengzhou Advanced Research Institute, Harbin Institute of Technology
Datong Liu Harbin Institute of Technology
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重要日期

  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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