SCADA data based condition monitoring of wind turbines

• 作者: Ke-Sheng Wang Vishal S.Sharma Zhen-You Zhang
• 来源期刊: 先进制造进展(英文版)
• 学科: 工学
• 关键词: SCADA数据 风力涡轮机 状态监测 数据处理技术 监控设备 基础架构 诊断故障 中央数据库
• 年，卷（期）: 2014,（1）
• 页码范围: 61-69
• 页数: 9页
• 分类号: TP273
• 语种: 中文

摘要

Wind turbines(WTs) are quite expensive pieces of equipment in power industry. Maintenance and repair is a critical activity which also consumes lots of time and effort, hence making it a costly affair. Carefully planning the maintenance based upon condition of the equipment would make the process reasonable. Mostly the WTs are equipped with some kind of condition monitoring device/system, which provides the information about the device to the central data base i.e., supervisory control and data acquisition(SCADA) data base. These devices/systems make use of data processing techniques/methods in order to detect and predict faults. The information provided by condition monitoring equipments keeps on recoding in the SCADA data base. This paper dwells upon the techniques/methods/algorithms developed, to carry out diagnosis and prognosis of the faults, based upon SCADA data.Subsequently data driven approaching for SCADA data interpretation has been reviewed and an artificial intelligence(AI) based framework for fault diagnosis and prognosis of WTs using SCADA data is proposed.