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1. (WO2018058702) INTELLIGENT MONITORING SYSTEM AND METHOD FOR OFFSHORE WIND TURBINE BLADE FAULT

Pub. No.:    WO/2018/058702    International Application No.:    PCT/CN2016/101903
Publication Date: Fri Apr 06 01:59:59 CEST 2018 International Filing Date: Thu Oct 13 01:59:59 CEST 2016
IPC: F03D 17/00
F03D 7/00
Applicants: GUANGZHOU SPECIAL PRESSURE EQUIPMENT INSPECTION AND RESEARCH INSTITUTE
广州特种承压设备检测研究院
Inventors: LI, Shiping
李仕平
YANG, Bo
杨波
CHEN, Zhigang
陈志刚
LI, Maodong
李茂东
LIN, Jinmei
林金梅
WANG, Lian
王恋
WANG, Zhigang
王志刚
ZHAI, Wei
翟伟
HUANG, Guojia
黄国家
ZHANG, Shuanghong
张双红
XIN, Mingliang
辛明亮
WU, Zhenling
伍振凌
QIU, Yue
邱樾
Title: INTELLIGENT MONITORING SYSTEM AND METHOD FOR OFFSHORE WIND TURBINE BLADE FAULT
Abstract:
An intelligent monitoring system for an offshore wind turbine blade fault. The system comprises a monitoring end (100) and a controller (200). The monitoring end (100) comprises: a current monitoring apparatus (110), a wind power monitoring apparatus (120), a start and stop monitoring apparatus (130), a blade vibration monitoring apparatus (140) and a blade video monitoring apparatus (150), wherein the blade vibration monitoring apparatus (140) is respectively connected to the current monitoring apparatus (110) and the wind power monitoring apparatus (120); the blade video monitoring apparatus (150) is connected to the start and stop monitoring apparatus (130); and the blade vibration monitoring apparatus (140) and the blade video monitoring apparatus (150) are respectively connected to the controller (200). Since the blade vibration monitoring apparatus (140) is respectively connected to the current monitoring apparatus (110) and the wind power monitoring apparatus (120), blade vibration data about a wind turbine can be collected according to a first trigger signal or a second trigger signal. Therefore, the blade vibration monitoring apparatus (140) does not need to collect the blade vibration data about the wind turbine in real time, and the running and maintenance costs of the intelligent monitoring system for an offshore wind turbine blade fault can be reduced. Further provided is an intelligent monitoring method for an offshore wind turbine blade fault, which can reduce the running and maintenance costs.