proof of market potentials and economics of a state of the art condition monitoring technology for wind turbine applications
证明风力涡轮机应用最先进的状态监测技术的市场潜力和经济性
基本信息
- 批准号:700585
- 负责人:
- 金额:$ 3.19万
- 依托单位:
- 依托单位国家:英国
- 项目类别:GRD Proof of Market
- 财政年份:2015
- 资助国家:英国
- 起止时间:2015 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A cost-effective Condition Monitoring (CM) technique is essential to raise the availability oflarge Wind Turbines (WTs), whether onshore or offshore for the following reasons: The highconstruction cost of large WTs increasing the need to improve payback; Large WTs are proneto failure from extreme environments, such as rain, sand, lighting, tornado, snow and ice, andalso subject to constantly variable load; large WTs breaking down have long downtimes dueto access difficulties; and furthermore, in most large WTs, subassemblies are installed in thespace- limited nacelle on the tower at a height over 60 (m) making replacement difficult.The use of a reliable CM system will enhance the maintenance and prevent critical WTsubassemblies from being fatally damaged. However, to date, an appropriate CM system,specifically designed for WT, is not existed. This is an essential need for wind farms becausethe monitoring signals collected from a WT are non-stationary and nonlinear, both in time andfrequency, while the conventional CM Systems are notorious in dealing with nonlinear andnon-stationary signals. The inaccurate analysis of WT signals results in frequent spuriousalarms, which cause unnecessary shut down of the WTs, whilst, sometimes not detecting realfaults. This imperfect performance leads to serious reduction in wind farms availability andhence increases the cost of wind power.A novel WT CM technology has been developed by Zigoorat Ltd, which is distinguished byboth its excellent capability in processing non-stationary/nonlinear signals and its efficientcomputational algorithm. In addition, it has substantially greater fault detection precision aswell as easy installation mechanism compare to existing products in the market.
具有成本效益的状态监测 (CM) 技术对于提高大型风力涡轮机 (WT) 的可用性至关重要,无论是陆上还是海上,原因如下: 大型风力涡轮机的高建设成本增加了提高投资回报的需要;大型WT容易因极端环境(如雨、沙、雷、龙卷风、冰雪)而发生故障,并且还要承受不断变化的负载;大型水轮机发生故障,由于检修困难,停机时间较长;此外,在大多数大型WT中,组件安装在塔架上空间有限的机舱内,高度超过60(米),这使得更换变得困难。使用可靠的CM系统将加强维护并防止关键WT组件受到致命损坏。然而,迄今为止,还没有专门为WT设计的合适的CM系统。这是风电场的基本需求,因为从WT收集的监测信号在时间和频率上都是非平稳和非线性的,而传统的CM系统在处理非线性和非平稳信号方面是出了名的。对WT信号的不准确分析会导致频繁的虚假警报,从而导致WT不必要的关闭,同时有时无法检测到真正的故障。这种不完善的性能导致风电场的可用性严重下降,从而增加了风电成本。Zigoorat Ltd开发了一种新颖的WT CM技术,该技术以其出色的非平稳/非线性信号处理能力和高效的计算算法而著称。此外,与市场上现有产品相比,它具有更高的故障检测精度以及简单的安装机制。
项目成果
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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