Pub Date : 2016-10-01DOI: 10.1109/CARPI.2016.7745625
Xu Dong, Jianjun Su, Yanliang Wang, Xiaohong Chen, Shou-yin Lu
The insulator strings in substation which are long time exposed in the outdoor environment are easily accumulation industrial and natural filth. So they need to be cleaned regularly to prevent the power outages and other incidents because of flashover phenomenon which occurs in the weather of rain and fog and other inclement weather. The substation equipment water washing robot with hot-line is employed in the substation to clean the insulator strings with the same method of artificial flushing. The theory of finite element analysis and modal analysis are based in this paper. The reliability and precision of robot's structural in the process of washing operation are ensured by stress distribution and deformation from the static analysis; The low order natural frequencies and mode shapes are carried out through modal analysis and a vibration control and optimization scheme is proposed to reduce the effects of vibration in the condition of the flushing operation, and the robot's stability can be improved.
{"title":"Finite element analysis and vibration control of the Substation Equipment Water Washing Robot with Hot-line","authors":"Xu Dong, Jianjun Su, Yanliang Wang, Xiaohong Chen, Shou-yin Lu","doi":"10.1109/CARPI.2016.7745625","DOIUrl":"https://doi.org/10.1109/CARPI.2016.7745625","url":null,"abstract":"The insulator strings in substation which are long time exposed in the outdoor environment are easily accumulation industrial and natural filth. So they need to be cleaned regularly to prevent the power outages and other incidents because of flashover phenomenon which occurs in the weather of rain and fog and other inclement weather. The substation equipment water washing robot with hot-line is employed in the substation to clean the insulator strings with the same method of artificial flushing. The theory of finite element analysis and modal analysis are based in this paper. The reliability and precision of robot's structural in the process of washing operation are ensured by stress distribution and deformation from the static analysis; The low order natural frequencies and mode shapes are carried out through modal analysis and a vibration control and optimization scheme is proposed to reduce the effects of vibration in the condition of the flushing operation, and the robot's stability can be improved.","PeriodicalId":104680,"journal":{"name":"2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)","volume":"26 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CARPI.2016.7745629
Jing Zhang, H. Yang, Zheng-ning Zhang, Ke Zhao, Yanfang Chen, Xinqiao Wu
Infrared videos from transmission line inspection of UAV have a large amount of data with low SNR (Signal to Noise Ratio). Identifying heat defects automatically using infrared videos is difficult and inefficient. In this paper, an advanced method is proposed. Firstly, points with excessive value of the component regions according to conductors are analyzed in their neighbors to obtain defect points. Then, the heat region of each defect points is segmented, and defect type of which is distinguished automatically by target accounting, skeleton, convex defects, position of lead wire, LBP feature vector. To solve the problem of low efficiency, an infrared video is divided into segments encompassing tower (SETs) and segments don't encompassing tower (SNETs). Heat defects of clamps, lead wire joints, insulators are processed using SETs. Experiment shows that defect locating accuracy is 91.4%, false alarm rate is 12.3%. Classification accuracy of the located defects is 82.3%. Then, this method is effectiveness and robustness.
{"title":"An automatic diagnostic method of abnormal heat defect in transmission lines based on infrared video","authors":"Jing Zhang, H. Yang, Zheng-ning Zhang, Ke Zhao, Yanfang Chen, Xinqiao Wu","doi":"10.1109/CARPI.2016.7745629","DOIUrl":"https://doi.org/10.1109/CARPI.2016.7745629","url":null,"abstract":"Infrared videos from transmission line inspection of UAV have a large amount of data with low SNR (Signal to Noise Ratio). Identifying heat defects automatically using infrared videos is difficult and inefficient. In this paper, an advanced method is proposed. Firstly, points with excessive value of the component regions according to conductors are analyzed in their neighbors to obtain defect points. Then, the heat region of each defect points is segmented, and defect type of which is distinguished automatically by target accounting, skeleton, convex defects, position of lead wire, LBP feature vector. To solve the problem of low efficiency, an infrared video is divided into segments encompassing tower (SETs) and segments don't encompassing tower (SNETs). Heat defects of clamps, lead wire joints, insulators are processed using SETs. Experiment shows that defect locating accuracy is 91.4%, false alarm rate is 12.3%. Classification accuracy of the located defects is 82.3%. Then, this method is effectiveness and robustness.","PeriodicalId":104680,"journal":{"name":"2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130442188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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