会议论文详细信息
6th International Conference on Fracture Fatigue and Wear
Identification of Critical Operation Conditions of Industrial Gearboxes by 24/7 Monitoring of Oil Quality, Oil Aging, and Additive Consumption
Mauntz, M.^1 ; Peuser, J.^1
Cmc Instruments GmbH, Rudolf Diesel Strasse 12 A, Eschborn
65760, Germany^1
关键词: Comprehensive monitoring;    Electrical conductivity;    Maintenance strategies;    On-line oil condition monitoring;    Onshore wind turbine;    Operation and maintenance;    Precise measurements;    Relative permittivity;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/843/1/012062/pdf
DOI  :  10.1088/1742-6596/843/1/012062
来源: IOP
PDF
【 摘 要 】

The demand for wind energy grows at exponential rates. At the same time improving reliability, reduced operation and maintenance costs are the key priorities in wind tur-bine maintenance strategies [1]. This paper provides information about a novel online oil condition monitoring system to give a solution to the mentioned priorities. The presented sensor system enables damage prevention of the wind turbine gear-box by an advanced warning time of critical operation conditions and an enhanced oil exchange interval realized by a precise measurement of the electrical conductivity, the relative permittivity and the oil temperature. A new parameter, the WearSens® Index (WSi) is introduced. The mathematical model of the WSicombines all measured values and its gradients in one single parameter for a comprehensive monitoring to prevent wind turbines from damage. Furthermore, the WSienables a long-term prognosis on the next oil change by 24/7 server data logging. Corrective procedures and/or maintenance can be carried out before actual damage occurs. First WSiresults of an onshore wind turbine installation compared to traditional vibration monitoring are shown.

【 预 览 】
附件列表
Files Size Format View
Identification of Critical Operation Conditions of Industrial Gearboxes by 24/7 Monitoring of Oil Quality, Oil Aging, and Additive Consumption 1055KB PDF download
  文献评价指标  
  下载次数:4次 浏览次数:10次