RVI For Internal Health Monitoring Of Industrial Gas Turbines

Paul Thompson
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Abstract

Industrial gas turbines are robust, durable, and dependable, but they can develop problems such as internal wear, loss of thermal barrier coatings, and premature part failures. If left undetected, these issues can lead to significant unplanned costs and downtime. To prevent premature failures, and as an aid in future outage planning, internal health monitoring using remote visual inspection (RVI) can determine whether components are in good condition and fit for service, or if additional repairs are needed. The use of RVI, with a video borescope capable of analyzing and quantifying indications usng 3D data displayed in a point cloud, allows for measuring anomalies with accuracies of 0.001 in. (0.025 mm). In some cases, early detection and 3D analysis of internal issues in industrial gas turbines have saved operators millions of dollars, sometimes even during a single outage.
用于工业燃气轮机内部健康监测的 RVI
工业燃气轮机坚固、耐用、可靠,但也会出现内部磨损、隔热涂层脱落、部件过早失效等问题。如果不及时发现,这些问题会导致大量计划外成本和停机时间。为了防止过早出现故障,并帮助制定未来的停机计划,利用远程视觉检测(RVI)进行内部健康监测,可以确定部件是否处于良好状态并适合使用,或者是否需要进行额外维修。使用 RVI 时,视频内窥镜能够利用点云显示的三维数据分析和量化迹象,测量异常点的精度可达 0.001 英寸(0.025 毫米)。在某些情况下,对工业燃气轮机内部问题的早期检测和三维分析为运营商节省了数百万美元,有时甚至是在一次停机期间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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