scholarly journals Dynamical Pattern Vector in Pattern Recognition with the Use of Thermal Images

2016 ◽  
Vol 56 ◽  
pp. 02010
Author(s):  
Zygmunt Kuś
Keyword(s):  
Pattern Recognition ◽  
Thermal Images ◽  
Dynamical Pattern ◽  
Pattern Vector

Pattern Recognition in Thermal Images of Plants Pine Using Artificial Neural Networks

2013 ◽  
pp. 406-413
Author(s):  
Adimara Bentivoglio Colturato ◽  
André Benjamin Gomes ◽  
Daniel Fernando Pigatto ◽  
Danielle Bentivoglio Colturato ◽  
Alex Sandro Roschildt Pinto ◽  
...  
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Artificial Neural Networks ◽  
Thermal Images ◽  
Artificial Neural

Dynamical Pattern Recognition

2018 ◽  
pp. 97-121
Author(s):  
Cong Wang ◽  
David J. Hill
Keyword(s):  
Pattern Recognition ◽  
Dynamical Pattern

scholarly journals Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

2015 ◽  
Vol 15 (3) ◽  
pp. 119-126 ◽  
Author(s):  
Adam Glowacz ◽  
Andrzej Glowacz ◽  
Zygfryd Glowacz
Keyword(s):  
Pattern Recognition ◽  
Direct Current ◽  
Diagnostic Method ◽  
Bayes Classifier ◽  
Thermal Images ◽  
Direct Current Motor ◽  
Incipient Fault ◽  
Electrical Motors ◽  
Fuel Industry ◽  
Incipient Fault Detection

AbstractInfrared thermography can measure the temperature of a surface remotely. In this article authors present a diagnostic method of incipient fault detection. The proposed approach is based on pattern recognition. It uses monochrome thermal images of the rotor with the application of an area perimeter vector and a Bayes classifier. The investigations have been carried out for direct current motor without faults and motor with shorted rotor coils. The measurements were performed in the laboratory. The efficiency of recognition using the area perimeter vector and the Bayes classifier was 100 %. The investigations show that the method based on recognition of thermal images can be profitable for engineers. The proposed method can be applied in mining, metallurgy, fuel industry and in factories where electrical motors are used.

Rapid dynamical pattern recognition for sampling sequences

2021 ◽  
Vol 64 (3) ◽  
Author(s):  
Weiming Wu ◽  
Qian Wang ◽  
Chengzhi Yuan ◽  
Cong Wang
Keyword(s):  
Pattern Recognition ◽  
Sampling Sequences ◽  
Dynamical Pattern
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