風力發電機營運診斷系統之研究

Abstract

本研究以六標準差的模式開發一可應用於離岸風力發電場的智慧型線上模擬及診斷系統的理論模式和軟體架構，並驗證系統及修改所建立的貝氏網路模型和軟體架構，以因應未來離岸大型風力發電場建立後的最有效能的營運模式。 本研究以延伸式標籤語言(Extensible Markup Language, XML)為基礎開發的資訊系統包含了三個部份：運用X3D(Extensible 3D)動態模擬、配合Android手機平台行動化以及使用AJAX(Asynchronous JavaScript and XML)技術實作線上營運診斷系統。 本論文採用六標準差的DMADV方法模型之資訊系統，來處理風力發電機營運損壞的問題，以提昇風機穩定度，降低風機的維護成本，增加風機的可用率。

The theory model and software architectures will be developed for the intelligence online simulation and diagnosing system of offshore wind farm based on the infrastructure of six sigma methodology. The system will be used for the validation and modification of the developed Bayesian network model and software architecture. The optimum model and architecture of large offshore wind farm will be proposed in this study. The information system developed in this paper consists of three main components based on XML: dynamic X3D simulation, mobility in Android, and online operation diagnosing system with AJAX. The study on this thesis which applied six sigma DMADV model to deal with operation failure problem in wind turbine was done by information system and it lifted the stability, reduced the cost on maintenance and increased the availability in wind turbine.