Next Article in Journal
Multi-Scale Analysis and Pattern Recognition of Ultrasonic Signals of PD in a Liquid/Solid Composite of an Oil-Filled Terminal
Previous Article in Journal
Back Analysis of the Initial Geo-Stress Field of Rock Masses in High Geo-Temperature and High Geo-Stress
Open AccessArticle

Investigation of the Design and Fault Prediction Method for an Abrasive Particle Sensor Used in Wind Turbine Gearbox

by Le Zhang * and Qiang Yang
Jiangsu Key Construction Laboratory of IoT Application Technology, Wuxi Taihu University, Wuxi 214000, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(2), 365; https://doi.org/10.3390/en13020365
Received: 7 December 2019 / Revised: 8 January 2020 / Accepted: 9 January 2020 / Published: 11 January 2020
The gearbox is a key sub-component of a wind power generation system with high failure rate leading to shutdowns. By monitoring the abrasive particles in the lubricating oil when the gearbox is running, any abnormal condition of the gearbox can be found in advance. This information may be used to improve the operational safety of the wind turbine and reduce losses because of shutdowns and maintenance. In this paper, a three-coil induction abrasive particle sensor is designed based on the application of high-power wind turbine gearbox. The performance of the sensor and the design method of the detection circuit are described in detail, and the sensor operation performance used in the 2 MW wind turbine is verified. The results show that the sensor has superior performance in identifying ferromagnetic abrasive particles above 200 μm and plays a good role in status monitoring and fault prediction for the gearbox. View Full-Text
Keywords: abrasive particle sensor; wind turbine; gearbox; fault prediction abrasive particle sensor; wind turbine; gearbox; fault prediction
Show Figures

Figure 1

MDPI and ACS Style

Zhang, L.; Yang, Q. Investigation of the Design and Fault Prediction Method for an Abrasive Particle Sensor Used in Wind Turbine Gearbox. Energies 2020, 13, 365.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop