Probabilistic probe selection algorithm for fault diagnosis in communication networks

2021 ◽  
pp. 108365
Author(s):  
Xiaogang Qi ◽  
Jiahui Li ◽  
Zhiping Wang ◽  
Lifang Liu
Keyword(s):  
Fault Diagnosis ◽  
Communication Networks ◽  
Selection Algorithm ◽  
Probe Selection

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.

A Novel Fault Diagnosis Method Based on Improved Negative Selection Algorithm

2021 ◽  
Vol 70 ◽  
pp. 1-8
Author(s):  
Yanheng Ren ◽  
Xianghua Wang ◽  
Chunming Zhang
Keyword(s):  
Fault Diagnosis ◽  
Negative Selection ◽  
Selection Algorithm ◽  
Negative Selection Algorithm ◽  
Diagnosis Method

A new fault diagnosis approach for induction motor using negative selection algorithm and its real-time implementation on FPGA

2018 ◽  
Vol 34 (1) ◽  
pp. 689-701
Author(s):  
Ilhan Aydin ◽  
Mehmet Karakose ◽  
Ebru Karakose ◽  
Erhan Akin
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Induction Motor ◽  
Negative Selection ◽  
Selection Algorithm ◽  
Negative Selection Algorithm ◽  
Diagnosis Approach
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