Sift AML (Accessible Machine Learning): Rapid and Robust Automated Analysis for Wind Farms

随着世界逐渐远离化石燃料，风力发电在未来几十年将成为全球能源供应体系中越来越重要的贡献者。通过利用机器学习(ML)和人工智能(AI)的力量，SIFT AML将风电场产生的海量数据转化为可操作的知识，帮助提高其运营效率、可靠性和维护。通过这样做，它们以更高的容量运行更长时间，为我们所有人节省了电费。风电场创造了大量的数据。一个现代化的海上风电场可能包括100个或更多的风力涡轮机。每个涡轮机产生数百个数据信号，其中包含有关每个子系统的状态和数千个单独组件的状况的关键信息。还有几个支持系统也可以产生数据，如变电站、阵列电缆、服务船和气象桅杆。一个现代海上风电场每年总共可能产生10 PB的1赫兹数据和15 TB的10分钟统计数据。隐藏在这些数据中的是有关部件磨损和即将发生的故障的关键信息。如果使用得当，这些数据可以转化为知识，帮助业主提高效率和可靠性，优化维护制度和降低运营成本。大多数风力发电场都连接到带有门户网站的中央数据仓库系统，业主和运营商可以分析这些信息，以便进行监控。然而，一般而言，这些系统提供深入技术分析和预测的能力非常有限。SIFT AML是一个易于部署的深度分析和预测系统，使任何规模的能源生产商能够在其现有数据仓库解决方案的基础上构建高级分析。SIFT AML利用ML和人工智能领域的最新发展，为所有人提供了使用这些革命性技术的途径，而不仅仅是数据科学家和软件程序员。通过使用SIFT AML风力涡轮机操作员可以快速获得高级分析，将工厂机械产生的数据转化为可操作的见解，包括关于未决部件故障的指导和增加电力生产的机会。在电力生产方面，即使是效率的微小提高，也可以为运营商带来可观的规模回报，降低电力成本，并通过加快全球向碳中性能源生产的转变来保护地球。

As the world turns away from fossil fuels, wind power will become an increasingly significant contributor to the global energy supply system in the coming decades. By harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI), Sift AML transforms the mountains of data produced by wind farms to actionable knowledge that helps to increase their operating efficiency, reliability and maintenance. By doing so, they operate at a higher capacity for longer, saving us all money on our electricity bills.Wind farms create vast quantities of data. A modern offshore wind farm may comprise a hundred or more wind turbines. Each turbine produces hundreds of data signals that contain crucial information about the state of each sub-system and the condition of the thousands of individual components. There are also several support systems that also produce data, such as substations, array cables, service vessels and meteorological masts.In total, a modern offshore wind farm may generate in the order of 10 petabytes of 1Hz data and 15TB of 10-minute statistics annually. Hidden within these data is critical information about component wear and pending failures. When utilised correctly, these data can be transformed into knowledge that can help owners to improve efficiency and reliability, optimise maintenance regimes and reduce operating costs.Most wind farms are connected to central data warehousing systems with web portals where the owners and operators can analyse the information for monitoring purposes. Generally, however, the capabilities of these systems to provide in-depth technical analysis and prognostics are very limited.Sift AML is a simple to deploy, in-depth analytics and prognostics system that enables energy producers of any size to build advanced analytics on top of their existing data warehousing solutions. Using state-of-the-art developments in ML and AI, Sift AML provides access to these revolutionary technologies to everyone, not just data scientists and software programmers.By using Sift AML wind turbine operators can gain rapid access to advanced analytics that turn data produced by plant machinery into actionable insights, including guidance on pending component failures and opportunities for increasing power production. In power production, even small increases in efficiency can generate significant returns at scale for operators, lowering the cost of electricity and protecting the planet by accelerating the shift toward carbon-neutral energy production across the world.