Fault Diagnosis of Power Equipment Based on Infrared Image Analysis

2020 ◽  
Author(s):  
Chenxi Guo ◽  
Ming Ren ◽  
Changjie Xia ◽  
Ming Dong ◽  
Bin Wang
Keyword(s):  
Image Analysis ◽  
Fault Diagnosis ◽  
Infrared Image ◽  
Power Equipment

Comparison of Infrared Image Pre-Processing Technique on Electronic Power Equipment

2013 ◽  
Vol 680 ◽  
pp. 339-344
Author(s):  
Hong Men ◽  
Xin Su ◽  
Peng Chen ◽  
Jia Xue Yu
Keyword(s):  
Fault Diagnosis ◽  
Target Identification ◽  
Infrared Image ◽  
Histogram Equalization ◽  
Processing Technique ◽  
Power Equipment ◽  
Low Snr ◽  
Fuzzy Image ◽  
High Pass ◽  
Subsequent Target

The disadvantages of infrared image are low resolution, bad stereoscopic sense, fuzzy image and low SNR, according to the application of infrared image in fault diagnosis of electronic power equipment, in this paper ,we make a comparative research on pre-processing technique of image de-noising and enhancement, and propose an infrared image enhancement algorithm based on platform histogram equalization combined with enhanced high-pass filtering, the algorithm can effectively improve the contrast by comparison, it is obvious to the noise effect, highlighting the objectives and details, and makes a good foundation for the subsequent target identification and fault diagnosis.

scholarly journals Segmented infrared image analysis for rotating machinery fault diagnosis

2016 ◽  
Vol 77 ◽  
pp. 267-276 ◽  
Author(s):  
Lixiang Duan ◽  
Mingchao Yao ◽  
Jinjiang Wang ◽  
Tangbo Bai ◽  
Laibin Zhang
Keyword(s):  
Image Analysis ◽  
Fault Diagnosis ◽  
Infrared Image ◽  
Rotating Machinery ◽  
Machinery Fault Diagnosis

scholarly journals Intra- and Interrater Reliability of Infrared Image Analysis of Facial Acupoints in Individuals with Facial Paralysis

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Xulong Liu ◽  
Jinghui Feng ◽  
Jingmin Luan ◽  
Chenxi Dong ◽  
Hefei Fu ◽  
...  
Keyword(s):  
Image Analysis ◽  
Temperature Measurement ◽  
Facial Paralysis ◽  
Temperature Difference ◽  
Interrater Reliability ◽  
Influencing Factor ◽  
Intraclass Correlation ◽  
Infrared Image ◽  
Infrared Thermal Imaging ◽  
Difference Measurement

Infrared thermography (IRT), as a noncontact tool for temperature measurement, is widely applied in the study of acupuncture modernization. The aim of this study was to assess the intra- and interrater reliability of infrared image analysis of facial acupoints of subjects with facial paralysis and determine the factors influencing the variability of the measured values. A total of 26 patients with facial paralysis on one side, aged 26 to 53 years, participated voluntarily in the study. Facial infrared thermal images of all participants were analyzed by two trained raters at two different time points at a one-week interval. The intraclass correlation coefficient (ICC) was used to determine the intra- and interrater reliability of IRT measurements. The ICC values varied depending on the analyzed acupoints. The reliability of temperature measurement ranged from moderate to excellent (intrarater, ICC ranged from 0.669 to 0.990; interrater, ICC ranged from 0.661 to 0.987). The reliability of temperature difference measurement ranged from low to excellent (intrarater, ICC ranged from 0.412 to 0.882; interrater, ICC ranged from 0.334 to 0.828). The main influencing factor of reliability is the incomplete consistency in selecting acupoint positions when repeatedly positioning the same acupoint manually. Despite low reliability of temperature difference measurement at some acupoints, some auxiliary measures can be used to reduce the error of manual positioning. Thus, infrared thermal imaging still has the potential to assist in objective and quantitative research on acupuncture.

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