Software and communications architecture for Prognosis and Health Monitoring of ocean-based power generator

I. Cardei, A. Agarwal, B. Alhalabi, Timur Tavtilov, T. Khoshgoftaar, P. Beaujean
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引用次数: 9

Abstract

This paper presents a communications and software architecture in support of Prognosis and Health Monitoring (PHM) applications for renewable ocean-based power generation. The generator/turbine platform is instrumented with various sensors (e.g. vibration, temperature) that generate periodic measurements used to assess the current system health and to project its future performance. The power generator platform is anchored miles offshore and uses a pair of wireless data links for monitoring and control. Since the link is expected to be variable and unreliable, being subject to challenging environmental conditions, the main functions of the PHM system are performed on a computing system located on the surface platform. The PHM system architecture is implemented using web services technologies following MIMOSA OSA-CBM standards. To provide sufficient Quality of Service for mission-critical traffic, the communications system employs application-level queue management with semantic-based filtering for the XML PHM messages, combined with IP packet traffic control and link quality monitoring at the network layer.
海洋发电机组预测与健康监测软件与通信体系结构
本文提出了一种支持可再生海洋发电预测与健康监测(PHM)应用的通信和软件体系结构。发电机/涡轮机平台配备了各种传感器(例如振动、温度),这些传感器产生周期性测量,用于评估当前系统的健康状况,并预测其未来的性能。发电机平台锚定在离岸数英里处,使用一对无线数据链进行监测和控制。由于连接可能是可变且不可靠的,并且会受到具有挑战性的环境条件的影响,因此PHM系统的主要功能在位于地面平台的计算系统上执行。PHM系统架构使用遵循MIMOSA sa - cbm标准的web服务技术实现。为了为关键任务流量提供足够的服务质量,通信系统采用应用程序级队列管理,对XML PHM消息进行基于语义的过滤,并结合IP数据包流量控制和网络层的链路质量监控。
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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