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Large Scale Condition Monitoring for a Subsea Gas Compression System

机译:海底压缩系统的大规模状态监测

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A pilot for a subsea 12,5 MW Gas compressor system is built, and will be operated in an onshore test pit environment for 2 years before being evaluated and deployed subsea. Several new components have been qualified during the pilot project, e.g. subsea UPS, subsea High Voltage Circuit Breakers, subsea Variable Speed Drives, Active Magnetic Bearing system and electric valve actuators. During these 2 years of pilot testing, a large number of parameters will be monitored and logged (in the order of 1 million data stored per second). After 2 years, there will be logged appr. 250 TByte of data. The intended use of this data is to obtain detailed knowledge on the behavior of the various components, to observe gradual degradation in performance over time, and for trouble-shooting and diagnostics in case of upsets. For the final subsea plant, the goal is to have a system for Condition Based Maintenance, based on the knowledge gained during the pilot testing. This paper describes the plant, the various data sources, the data network collecting the data, the storage system and the retrieval / visualization / analysis system.
机译:构建了海底12,5 MW气体压缩机系统的飞行员,并且在评估和部署海底之前将在陆上测试坑环境中运行2年。例如,在试点项目期间,几个新组件已获得资格,例如,海底UPS,海底高压断路器,海底变速驱动,有源磁轴承系统和电动阀门执行器。在这两年的试验测试中,将监控和记录大量参数(按每秒存储的100万数据)。 2年后,将有记录的人。 250 TBYTE数据。这些数据的预期用途是为各种组件的行为获得详细知识,以观察性能随着时间的推移逐渐降级,以及在扰乱的情况下进行故障排除和诊断。对于最终的海底工厂,目标是基于试验测试期间获得的知识来拥有基于条件的维护系统。本文介绍了工厂,各种数据源,收集数据的数据网络,存储系统和检索/可视化/分析系统。

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