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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Wind turbine prognostics ： ウィキペディア英語版 Wind turbine prognostics == Framework == The growing demand for renewable energy has spurred global adoption and expansion of wind turbine technology. To increase energy capacity for existing and future wind farm projects, prognostics and health management (PHM)〔Prognostics〕 techniques are considered as a critical approach, whose functionality to diagnose and prognose system degradation and failure is capable to enhance reliability and reduce downtime. A framework is established, by the Center for Intelligent Maintenance Systems (IMS), to compute a Global Health Estimator (GHE) to assess real-time turbine performance, and a Local Damage Estimator (LDE), to identify component-level defects. GHE can be generated from a wind turbine SCADA (Supervisory Control and Data Acquisition) system, by interpreings turbine performance as its capability to generate power under dynamic environmental conditions. Wind speed, wind direction, pitch angle and othera parameters are first selected as input. Then two key parameters in characterizing wind power generation, wind speed and actual power output, collected while turbine is known to work under nominal healthy condition are used to establish a baseline model. When real-time data arrives, same parameters are used to model current performance. GHE is obtained by computing the distance between the new data and its baseline model. By trending the GHE over time, performance prediction can be made when unit revenue will drop below a predetermined break-even threshold. Maintenance should be triggered and directed to components with low LDE values. LDE is computed based on measurements from Condition Monitoring System (CMS) and SCADA, and is used to locate and diagnose incipient failure at component level. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Wind turbine prognostics」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.