An Online Technology for Measuring Icing Shape on Conductor Based on Vision and Force Sensors

Huang, Xinbo; Zhang, Fei; Li, Husheng; Liu, Xinhui

doi:10.1109/tim.2017.2746438

Cited by 51 publications

(33 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these techniques, the Canny algorithm [20] is considered one of the best algorithms for detecting defects in noisy images [28]. Using this algorithm, various inspection systems have been implemented, both to detect defects during the production of the glass tube [8] and for detection in other types of glass production [13] and other production sectors [12, 14, 15]. However, the computational complexity of the algorithm may make it unsuitable in future production lines.…”

Section: State‐of‐the‐artmentioning

confidence: 99%

Row‐level algorithm to improve real‐time performance of glass tube defect detection in the production phase

2020

View full text Add to dashboard Cite

Section: State‐of‐the‐artmentioning

confidence: 99%

Row‐level algorithm to improve real‐time performance of glass tube defect detection in the production phase

2020

View full text Add to dashboard Cite

“…The modified artificial microclimate test platform is used to conduct the non-electrical artificial contamination test of insulators under cross-wind [26][27][28]. During the test, the variable frequency motor drives the rotating scroll to work, then the diffusion quantity of contaminated particles is controlled by changing the speed of the variable frequency motor.…”

Section: Test Platform and Settingsmentioning

confidence: 99%

Flow field distribution around insulator and contamination uneven characteristic of insulator

Huang

2020

IET Science, Measurement &Amp; Technology

Self Cite

View full text Add to dashboard Cite

The accumulation of insulator surface contamination is closely related to the distribution of flow field around the insulator. In order to study the unevenness of the insulator surface contamination, a three-unit lxy-160 insulator is selected. Based on the principle of fluid mechanics, the fluid movement state on the insulator surface is determined by the calculation of Reynolds number and boundary layer, then the flow field distribution around the insulator is obtained. On this basis, the artificial contamination test and numerical simulation are carried out to study the characteristics of contamination uneven distribution on the insulator surface. The results show that when the wind speed is 3-7 m/s and the particle diameter is 1-60 µm, there is obvious boundary layer separation phenomenon, and the flow state before the separation point is laminar, while the flow state behind the separation point is turbulent. From top to bottom, the degree of accumulation on each insulator is different, and the contamination on the windward and leeward sides are unevenly distributed in a fan shape. The increment of wind speed as well as particle diameter will aggravate the unevenness of the contamination.

show abstract

“…The proposed measurement technology consists of three parts: the monitoring device with image sensors, the GPRS communication networks [12], [13] and the monitoring center with the insulator wind deviation analysis software. The insulator images are captured by image sensors, decompressed and sent to the monitoring center by GPRS communication networks, then analyzed by the proposed algorithms.…”

Section: Overview Of the Technology Of The Wind Deviation Monitormentioning

confidence: 99%

Technology of Actual Wind Deviation Monitoring for Suspension Insulator Strings Based on Improved Edge Detection

et al. 2019

Self Cite

View full text Add to dashboard Cite

Finding out the wind deviation fault of the insulators of transmission lines in time can not only help people better complete the wind bias warning and prevention work, but also reduce the economic loss and the maintenance difficulty. A technology of Actual Wind Deviation Monitoring for Suspension Insulator Strings Based on Improved Edge Detection is proposed in this paper. It can calculate the actual wind deviation angle and distance of the insulator through image processing technology and camera calibration. Firstly, the video monitoring device is installed on the tower to collect the field insulator images, and the R + G improved grayscale processing and median filtering are carried out. Secondly, two-dimensional Otsu threshold segmentation is applied to the pre-processed image, and the insulator string target is obtained by combining morphological filtering and connection domain extraction. Then, the improved Kirsch operator is used to obtain the complete single-pixel wide edge of the insulator string. Searching the left and right boundary points of each insulator separately and the center points of each insulator can be calculated. Finally, these center points are transformed into world coordinates by camera calibration and fitted by least square method (LSM). The deviation angle θ of the insulator string can be obtained according to the slope of the fitting line, and the deviation distance d according to the length of the insulator string. When θ is greater than 7.5 • and d is greater than 300mm, an alarm is issued to alert the staff. We analyze the performance of the technology by a series of experiments, the maximum error between the proposed method and the manual method is 8.72% and the minimum is 1.01%. Moreover, by analyzing 200 field insulator images, the identification accuracy are 93.75% and 91.36% respectively, which shows that the proposed method is effective and practical. It provides a new idea for the wind deviation monitoring of suspension insulator strings. INDEX TERMS Insulator wind deviation, improved gray processing, improved Kirsch operator, camera calibration, deviation angle and distance.

show abstract

An Online Technology for Measuring Icing Shape on Conductor Based on Vision and Force Sensors

Cited by 51 publications

References 17 publications

Row‐level algorithm to improve real‐time performance of glass tube defect detection in the production phase

Row‐level algorithm to improve real‐time performance of glass tube defect detection in the production phase

Flow field distribution around insulator and contamination uneven characteristic of insulator

Technology of Actual Wind Deviation Monitoring for Suspension Insulator Strings Based on Improved Edge Detection

Contact Info

Product

Resources

About