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基于智能诊断与数字孪生的汽轮机安全监视系统可靠性提升策略研究 被引量:1

Research and Practice of the Reliability Improvement of the TSI System of the 660 MW Turbine Driven by Intelligent Diagnosis
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摘要 针对汽轮机安全监视(TSI)系统在高温高压及频繁调峰工况下故障率高、非计划停机频发的问题,提出一套可靠的提升策略,创新性制订三级量化检修标准,并结合激光对中与“五步法”安装工艺,使探头合格率提升至98.7%;开发CNN-LSTM智能诊断系统,能实现故障早期识别与动态阈值提前预警,使修复时间减少90%;构建的数字孪生平台,能使LVDT差胀监测误差降至±3μm。研究成果为TSI系统可靠性优化提供了有效范式。 To address the problems of the high fault rate and frequent unplanned shutdowns of the TSI system of the turbine in the working conditions of high-temperature,high-pressure and frequent peak-shaving,a set of strategies for reliability improvement is proposed.Formulating a three-level quantitative maintenance standard in an innovative way as well as combining laser alignment with the“five-step”installation technique can increase the qualification rate of the probe to 98.7%.In addition,it can achieve early fault identification and dynamic threshold early warning,reducing the repair time by 90%.The constructed digital twin platform can reduce the error of the LVDT differential expansion monitoring to±3μm.The research results provide an effective normal form for the reliability optimization of the TSI system.
作者 田源 TIAN Yuan(Sichuan Energy Investment Power Development Co.,Ltd.,Chengdu Sichuan 610000,P.R.China)
出处 《重庆电力高等专科学校学报》 2025年第6期5-9,共5页 Journal of Chongqing Electric Power College
关键词 汽轮机TSI系统 等级检修 故障分析 TSI system of the turbine multi-level maintenance fault analysis
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