A Novel Intelligent Fault Diagnosis Method for Turbine Generator Sets

2011 ◽  
Vol 3 (10) ◽  
pp. 357-363 ◽  
Author(s):  
SuQun Cao ◽  
XiangZhi Chen ◽  
JunMin Wang ◽  
QuanYin Zhu
Keyword(s):  
Fault Diagnosis ◽  
Intelligent Fault Diagnosis ◽  
Turbine Generator ◽  
Diagnosis Method ◽  
Generator Sets

Fault Diagnosis Method for Wind Turbine Gearbox Based on Image Characteristics Extraction and Actual Value Negative Selection Algorithm

2020 ◽  
Vol 34 (14) ◽  
pp. 2054034
Author(s):  
Xiaoli Xu ◽  
Xiuli Liu
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Negative Selection ◽  
Selection Algorithm ◽  
Turbine Generator ◽  
Time Frequency ◽  
Negative Selection Algorithm ◽  
Wind Turbine Generator ◽  
Image Characteristics ◽  
Diagnosis Method

With the development of information theory and image analysis theory, the studies on fault diagnosis methods based on image processing have become a hot spot in the recent years in the field of fault diagnosis. The gearbox of wind turbine generator is a fault-prone subassembly. Its time frequency of vibration signals contains abundant status information, so this paper proposes a fault diagnosis method based on time-frequency image characteristic extraction and artificial immune algorithm. Firstly, obtain the time-frequency image using wavelet transform based on threshold denoising. Secondly, acquire time-frequency image characteristics by means of Hu invariant moment and correlation fusion gray-level co-occurrence matrix of characteristic value, thus, to extract the fault information of the gearing of wind turbine generator. Lastly, diagnose the fault type using the improved actual-value negative selection algorithm. The application of this method in the gear fault diagnosis on the test bed of wind turbine step-up gearbox proves that it is effective in the improvement of diagnosis accuracy.

scholarly journals An intelligent fault diagnosis method for PV arrays based on an improved rotation forest algorithm

2019 ◽  
Vol 158 ◽  
pp. 6132-6138 ◽  
Author(s):  
Fuchang Han ◽  
Zhicong Chen ◽  
Lijun Wu ◽  
Chao Long ◽  
Jinling Yu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Intelligent Fault Diagnosis ◽  
Rotation Forest ◽  
Diagnosis Method
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