精品文档---下载后可任意编辑DEH 讨论及其在石化行业汽轮机控制中的应用中期报告摘要：本文介绍了使用数据分析技术讨论热力系统故障的方法。DEH（自动化抽汽调节系统）是热力系统的重要组成部分，在石化行业的汽轮机控制中具有重要的应用价值。利用 DEH 实现抽汽调节，可以使汽轮机在不同负荷下工作时，保持稳定的蒸汽温度和压力，提高汽轮机的运行效率和安全性。本文讨论了 DEH 系统的基本原理和结构，通过实验方法收集了DEH 系统在不同工况下的工作数据，分析了这些数据之间的关系，并尝试使用机器学习算法从这些数据中识别出 DEH 系统的故障状态。根据实验数据的分析结果，本文提出了一种基于数据驱动的 DEH 故障诊断方法。本文的讨论成果具有重要的实际应用价值，可以为石化行业的汽轮机控制提供有效的故障诊断手段，提高汽轮机的安全性和运行效率。关键词：DEH；热力系统；数据分析；机器学习；故障诊断Abstract:This paper introduces a method of using data analysis technology to study thermal system faults. DEH (Automatic Extraction Steam Control System) is an important part of the thermal system, and has important application value in the control of turbines in the petrochemical industry. Using DEH to achieve extraction steam regulation can keep the stable steam temperature and pressure of the turbine under different loads, improve the operational efficiency and safety of the turbine.This paper studies the basic principles and structures of the DEH system, collects the working data of the DEH system under different working conditions through experimental methods, analyzes the relationship between these data, and attempts to use machine learning algorithms to identify the fault states of the DEH system from these data. Based on the analysis results of experimental data, this paper proposes a data-driven DEH fault diagnosis method.The research results of this paper have important practical application value, which can provide effective fault diagnosis 精品文档---下载后可任意编辑methods for turbine control in the petrochemical industry, and improve the safety and operational efficiency of the turbine.Keywords: DEH; thermal system; data analysis; machine learning; fault diagnosis
