Real-time monitoring system for multi-MW scale wind blades using FBG sensors

被引:3
|
作者
Liu, Hongwei [1 ]
Zhang, Zhichun [1 ]
Jia, Hongbo [1 ]
Zhang, Denggang [2 ]
Liu, Yanju [3 ]
Leng, Jinsong [1 ]
机构
[1] Harbin Inst Technol, Natl Key Lab Sci & Technol Adv Composites Special, Harbin 150080, Heilongjiang, Peoples R China
[2] C-9th Floor,Tower B Zone 6,66 Xixiaokou Rd, Beijing 100192, Peoples R China
[3] Harbin Inst Technol, Dept Astronaut Sci & Mech, Harbin 150080, Heilongjiang, Peoples R China
关键词
FBG; structural health monitoring; wind blade; Hilbert-Huang transform; STRUCTURAL HEALTH; TURBINE;
D O I
10.1117/12.2514675
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Measured by distributed fiber Bragg grating (FBG) sensors, an application and strain analysis of real-time structural health monitoring system for muti-MW scale wind blades during the service process has been established and investigated. The experiments of the multi-MW scale wind turbine were performed at the top of the hill, near the sea and the FBG sensors were mounted at various locations on the internal surfaces of the rotating blades. The feasibility and effectiveness of the system were validated by continuously transmitting the optical signals between the FBG demodulator and the sensors. The internal dynamic strain of the blades during the environmental fatigue loadings were monitored, valuated and given crash alert with FBG sensors through the results of preliminary field tests. Through Hilbert-Huang transform (HHT), the strain data were decomposed into a series of intrinsic mode functions (IMF) and residual component by the empirical mode decomposition (EMD) method under different frequencies.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] A Real-Time Thermal Monitoring System Intended for Embedded Sensors Interfaces
    Ettahri, Ouafaa
    Oukaira, Aziz
    Ali, Mohamed
    Hassan, Ahmad
    Nabavi, Morteza
    Savaria, Yvon
    Lakhssassi, Ahmed
    SENSORS, 2020, 20 (19) : 1 - 16
  • [32] Real-time online monitoring and control system in dispatch center for large-scale wind farms
    Bai, Yongxiang
    Fang, Dazhong
    Hou, Youhua
    He, Xuwei
    Zhu, Changsheng
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2010, 30 (11): : 6 - 8
  • [33] Signal processing of real-time monitoring system using embedded fiber-optic sensors
    Wu, P
    Kang, L
    Lin, YY
    FIBER OPTIC SENSORS V, 1996, 2895 : 542 - 547
  • [34] Real-time monitoring of total polyphenols content in tea using a developed optical sensors system
    Qi, Shuai
    Ouyang, Qin
    Chen, Quansheng
    Zhao, Jiewen
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2014, 97 : 116 - 122
  • [35] Research on Real-Time Localization and Environmental Monitoring Using Sensors and ZigBee for Cold Chain System
    Lee, Changsoo
    Jung, Daewon
    Lee, Keun-Wang
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
  • [36] A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors
    Kakria, Priyanka
    Tripathi, N. K.
    Kitipawang, Peerapong
    INTERNATIONAL JOURNAL OF TELEMEDICINE AND APPLICATIONS, 2015, 2015
  • [37] Wireless acquisition system for automated, near real-time structural monitoring using ultrasonic sensors
    Mitchell, K.
    Banerjee, S.
    Sholy, B.
    STRUCTURAL HEALTH MONITORING 2007: QUANTIFICATION, VALIDATION, AND IMPLEMENTATION, VOLS 1 AND 2, 2007, : 746 - 753
  • [38] Real-time monitoring system
    不详
    ANTI-CORROSION METHODS AND MATERIALS, 1997, 44 (02) : 137 - 137
  • [39] Multi-Robot System for Real-Time Sensing and Monitoring
    Derbas, Ahmad M.
    Al-Aubidy, Kasim M.
    Ali, Mohammed M.
    Al-Mutairi, Abdallah W.
    2014 15TH INTERNATIONAL WORKSHOP ON RESEARCH AND EDUCATION IN MECHATRONICS (REM), 2014,
  • [40] Real-time monitoring of cleanroom laboratories using low cost sensors
    Han, Yeongcheol
    Jung, Hyej In
    Moon, Jangil
    Baek, Jongmin
    Han, Changhee
    Hur, Soon Do
    JOURNAL OF THE GEOLOGICAL SOCIETY OF KOREA, 2019, 55 (01) : 141 - 148