Research on Infrared Image Processing Algorithm of Generator Carbon Brush Based on Adaptive Stochastic Resonance Array

The safe and stable operation of the generator set is related to the national economy and people's livelihood. As an important part of generator excitation system, carbon brush and slip ring temperature monitoring can effectively evaluate the state of the generator, which plays a vital role. Mo...

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Published in:Chinese Automation Congress (Online) pp. 5016 - 5021
Main Authors: Jiao, Shangbin, Huang, Weichao, Geng, Bo, Zhang, Youmin, Wu, Xiaohui, Wu, Pengyue
Format: Conference Proceeding
Language:English
Published: IEEE 22.10.2021
Subjects:
Adaptive arrays
adaptive stochastic resonance array
bistable stochastic resonance
Brushes
Carbon
generator carbon brush
Generators
infrared image
Stochastic resonance
Temperature measurement
Temperature sensors
ISSN:2688-0938
Online Access:Get full text
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Abstract The safe and stable operation of the generator set is related to the national economy and people's livelihood. As an important part of generator excitation system, carbon brush and slip ring temperature monitoring can effectively evaluate the state of the generator, which plays a vital role. Most of the current researches use infrared images to monitor carbon brush temperature, but there are often problems such as high noise and unclear focus. According to the requirements of infrared image display, this paper combines the method of bistable stochastic resonance to denoise the image, and on this basis, introduces the adaptive stochastic resonance array method to denoise the gray image. Experimental results show that compared with common image denoising methods and classic bistable stochastic resonance, the adaptive stochastic resonance array method has improved both visual effects and peak signal- to-noise ratio (PSNR), which further proves the good application of stochastic resonance in weak signal detection and extraction.
AbstractList The safe and stable operation of the generator set is related to the national economy and people's livelihood. As an important part of generator excitation system, carbon brush and slip ring temperature monitoring can effectively evaluate the state of the generator, which plays a vital role. Most of the current researches use infrared images to monitor carbon brush temperature, but there are often problems such as high noise and unclear focus. According to the requirements of infrared image display, this paper combines the method of bistable stochastic resonance to denoise the image, and on this basis, introduces the adaptive stochastic resonance array method to denoise the gray image. Experimental results show that compared with common image denoising methods and classic bistable stochastic resonance, the adaptive stochastic resonance array method has improved both visual effects and peak signal- to-noise ratio (PSNR), which further proves the good application of stochastic resonance in weak signal detection and extraction.
Author Zhang, Youmin
Geng, Bo
Wu, Xiaohui
Wu, Pengyue
Jiao, Shangbin
Huang, Weichao
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  givenname: Pengyue
  surname: Wu
  fullname: Wu, Pengyue
  email: wupengyue@tpri.com.cn
  organization: Xi'an Thermal Power Research Institute Co., Ltd,Xi'an,China,710048
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Snippet The safe and stable operation of the generator set is related to the national economy and people's livelihood. As an important part of generator excitation...
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SubjectTerms Adaptive arrays
adaptive stochastic resonance array
bistable stochastic resonance
Brushes
Carbon
generator carbon brush
Generators
infrared image
Stochastic resonance
Temperature measurement
Temperature sensors
Title Research on Infrared Image Processing Algorithm of Generator Carbon Brush Based on Adaptive Stochastic Resonance Array
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