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Development and Improvement of the Operating Diagnostics Systems of NPO CKTI Works for Turbine of Thermal and Nuclear Power Plants

机译:NPO CKTI热电厂和核电厂涡轮机运行诊断系统的开发和改进

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摘要

The work results on the development and improvement of the techniques, algorithms, and software-hardware of continuous operating diagnostics systems of rotating units and parts of turbine equipment state are presented. In particular, to ensure the full remote service of monitored turbine equipment using web technologies, the web version of the software of the automated systems of vibration-based diagnostics (ASVD VIDAS) was developed. The experience in the automated analysis of data obtained by ASVD VIDAS form the basis of the new algorithm of early detection of such dangerous defects as rotor deflection, crack in the rotor, and strong misalignment of supports. The program-technical complex of monitoring and measuring the deflection of medium pressure rotor (PTC) realizing this algorithm will alert the electric power plant staff during a deflection and indicate its value. This will give the opportunity to take timely measures to prevent the further extension of the defect. Repeatedly, recorded cases of full or partial destruction of shrouded shelves of rotor blades of the last stages of low-pressure cylinders of steam turbines defined the need to develop a version of the automated system of blade diagnostics (ASBD SKALA) for shrouded stages. The processing, analysis, presentation, and backup of data characterizing the mechanical state of blade device are carried out with a newly developed controller of the diagnostics system. As a result of the implementation of the works, the diagnosed parameters determining the operation security of rotating elements of equipment was expanded and the new tasks on monitoring the state of units and parts of turbines were solved. All algorithmic solutions and hardware-software implementations mentioned in the article were tested on the test benches and applied at some power plants.
机译:介绍了旋转单元和涡轮设备状态零件连续运行诊断系统的技术,算法和软件硬件的开发和改进的工作成果。特别是,为了确保使用Web技术可完全远程监控涡轮机设备,开发了基于振动的诊断自动化系统(ASVD VIDAS)软件的Web版本。 ASVD VIDAS对数据进行自动分析的经验构成了这种新算法的基础,该算法可以尽早发现危险的缺陷,例如转子偏斜,转子中的裂纹以及支架的严重不对中。实现此算法的监视和测量中压转子(PTC)挠度的程序技术复合体将在挠度期间警告发电厂人员并指出其值。这将提供及时采取措施以防止缺陷进一步扩大的机会。重复地,记录的汽轮机低压缸最后阶段的动叶片的带罩搁架的全部或部分破坏的案例确定了需要开发一种用于带罩阶段的叶片诊断自动化系统(ASBD SKALA)的版本。表征刀片设备机械状态的数据的处理,分析,呈现和备份是通过新开发的诊断系统控制器执行的。由于工作的进行,扩大了确定设备旋转元件运行安全性的诊断参数,并解决了监测涡轮机和零件状态的新任务。本文中提到的所有算法解决方案和硬件软件实现均在测试台上进行了测试,并应用于一些发电厂。

著录项

  • 来源
    《Thermal engineering》 |2016年第3期|168-173|共6页
  • 作者单位

    OAO Polzunov Scientific and Development Association on Research and Design of Power Equipment (NPO CKTI), ul. Atamanskaya 3/6, St. Petersburg, 191167 Russia;

    OAO Polzunov Scientific and Development Association on Research and Design of Power Equipment (NPO CKTI), ul. Atamanskaya 3/6, St. Petersburg, 191167 Russia;

    OAO Polzunov Scientific and Development Association on Research and Design of Power Equipment (NPO CKTI), ul. Atamanskaya 3/6, St. Petersburg, 191167 Russia;

    OAO Polzunov Scientific and Development Association on Research and Design of Power Equipment (NPO CKTI), ul. Atamanskaya 3/6, St. Petersburg, 191167 Russia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    turbine plant; operational diagnostics; software and hardware;

    机译:涡轮机运行诊断;软硬件;

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