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Automated Vibration Analysis in Loaded Condition of Hydro Turbine Generator Sets

机译:水轮发电机组负荷状态下的自动振动分析

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Vibration analysis can reveal rich health condition information of hydro turbine generator sets. And it is still performed by the experts manually through tests. Besides, the accuracy of the analysis results is affected due to lack of experts with rich experience and domain knowledge. And manual tests increase downtime of the units. To address these issues, an automated analysis approach in the loaded condition based on the operation condition association rules (OCARs) is presented. It simulates the analysis process of the experts and makes the process automated, like automated operation condition classification, automated operation performance indicators calculation, automated health condition assessment and automated fault analysis. And it has advantages in automated vibration performance degradation detection, fault analysis and operation laws discovery in normal operation of the units instead of tests. The approach has been applied successfully in the vibration analysis of the 22 units in Gezhouba Hydropower Plant. The application shows that it has good prospects.
机译:振动分析可以揭示水轮发电机组丰富的健康状况信息。并且仍然由专家通过测试手动执行。此外,由于缺乏具有丰富经验和专业知识的专家,影响了分析结果的准确性。手动测试会增加设备的停机时间。为了解决这些问题,提出了一种基于操作条件关联规则(OCAR)的负载条件下的自动分析方法。它模拟专家的分析过程,并使过程自动化,例如自动化操作条件分类,自动化操作性能指标计算,自动化健康状况评估和自动化故障分析。它具有在单元正常运行而不是测试中自动进行振动性能下降检测,故障分析和发现运行规律的优势。该方法已成功应用于葛洲坝水电站22个机组的振动分析。应用表明,它具有良好的前景。

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