Pub Date : 2023-01-01DOI: 10.1504/ijhm.2023.10056122
Lintao Wang, Wushuang Sun, H. Yin, Yongfeng Wang
{"title":"Fault diagnosis of hydraulic system based on D-S evidence theory and SVM","authors":"Lintao Wang, Wushuang Sun, H. Yin, Yongfeng Wang","doi":"10.1504/ijhm.2023.10056122","DOIUrl":"https://doi.org/10.1504/ijhm.2023.10056122","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66895452","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 : 2023-01-01DOI: 10.1504/ijhm.2023.10056525
Shuyun Qiao, A. A. Shah, C. Hong
{"title":"Influence of oil temperature on pressure distribution and flow force of valve core","authors":"Shuyun Qiao, A. A. Shah, C. Hong","doi":"10.1504/ijhm.2023.10056525","DOIUrl":"https://doi.org/10.1504/ijhm.2023.10056525","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66895595","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}
Accurate tool condition monitoring (TCM) is an important part for ensuring milling quality. However, due to the cost of TCM experiment, there are few labelled and a lot of unlabelled samples in the training set that significantly affect the accuracy of many machine learning models. A novel method based on comparative learning (CL) and Gramian angular field (GAF) is proposed for improving the performance of TCM. The cutting force signals of each channel of all samples (including labelled and unlabelled) collected in TCM experiment are expanded to grey images by GAF, and combined with other channels to a colour image. Then, these colour images are input to the CL pre-training model to learn features. Finally, the extracted features and the few labelled samples are applied to train the ResNet18 model to obtain excellent classification results. The milling TCM experiments show that the classification precision of the proposed GAF-CL model is above 95% with small labelled samples, which is more than 19% higher than the ImageNet pre-training model.
{"title":"A novel tool condition monitoring based on Gramian angular field and comparative learning","authors":"Hongche Wang, Wei Sun, Weifang Sun, Yan Ren, Yuqing Zhou, Qijia Qian, Anil Kumar","doi":"10.1504/ijhm.2023.130510","DOIUrl":"https://doi.org/10.1504/ijhm.2023.130510","url":null,"abstract":"Accurate tool condition monitoring (TCM) is an important part for ensuring milling quality. However, due to the cost of TCM experiment, there are few labelled and a lot of unlabelled samples in the training set that significantly affect the accuracy of many machine learning models. A novel method based on comparative learning (CL) and Gramian angular field (GAF) is proposed for improving the performance of TCM. The cutting force signals of each channel of all samples (including labelled and unlabelled) collected in TCM experiment are expanded to grey images by GAF, and combined with other channels to a colour image. Then, these colour images are input to the CL pre-training model to learn features. Finally, the extracted features and the few labelled samples are applied to train the ResNet18 model to obtain excellent classification results. The milling TCM experiments show that the classification precision of the proposed GAF-CL model is above 95% with small labelled samples, which is more than 19% higher than the ImageNet pre-training model.","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136092814","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 : 2023-01-01DOI: 10.1504/ijhm.2023.134337
Conghua Hong, Shuyun Qiao, Aamer Abbas Shah
{"title":"Influence of oil temperature on pressure distribution and flow force of valve core","authors":"Conghua Hong, Shuyun Qiao, Aamer Abbas Shah","doi":"10.1504/ijhm.2023.134337","DOIUrl":"https://doi.org/10.1504/ijhm.2023.134337","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135051528","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 : 2023-01-01DOI: 10.1504/ijhm.2023.132301
Pengfei Qian, Lei Liu, Chenwei Pu, Deyuan Meng, Luis Miguel Ruiz Páez
Low-cost, non-polluting pneumatic technology is one of the most important engineering technologies. However, the application of pneumatic servo system is limited by the low control accuracy due to the nonlinear factors such as pneumatic actuator friction and compressibility of working medium. Many researchers have been exploring the reasons for this and have taken some targeted measures. Through extensive literature research, this paper summarises these methods into four categories: high-precision friction modelling and compensation, advanced control strategies, improved system stiffness and improved friction characteristics. In addition, the paper offers a new idea that removes the uncertain part of friction that is harmful to the control system and retains the damping part that is beneficial to the control system. For example, it can be considered to introduce a deterministic damping coefficient after removing the friction to enhance the stability of the system, and thus improve the control accuracy of the pneumatic system.
{"title":"Methods to improve motion servo control accuracy of pneumatic cylinders - review and prospect","authors":"Pengfei Qian, Lei Liu, Chenwei Pu, Deyuan Meng, Luis Miguel Ruiz Páez","doi":"10.1504/ijhm.2023.132301","DOIUrl":"https://doi.org/10.1504/ijhm.2023.132301","url":null,"abstract":"Low-cost, non-polluting pneumatic technology is one of the most important engineering technologies. However, the application of pneumatic servo system is limited by the low control accuracy due to the nonlinear factors such as pneumatic actuator friction and compressibility of working medium. Many researchers have been exploring the reasons for this and have taken some targeted measures. Through extensive literature research, this paper summarises these methods into four categories: high-precision friction modelling and compensation, advanced control strategies, improved system stiffness and improved friction characteristics. In addition, the paper offers a new idea that removes the uncertain part of friction that is harmful to the control system and retains the damping part that is beneficial to the control system. For example, it can be considered to introduce a deterministic damping coefficient after removing the friction to enhance the stability of the system, and thus improve the control accuracy of the pneumatic system.","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135182605","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 : 2023-01-01DOI: 10.1504/ijhm.2023.10055521
S. Umarani, T. Kanimozhi
{"title":"A comparative study of energy-efficient clustering protocols for WSN-internet-of-things","authors":"S. Umarani, T. Kanimozhi","doi":"10.1504/ijhm.2023.10055521","DOIUrl":"https://doi.org/10.1504/ijhm.2023.10055521","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66895052","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 : 2023-01-01DOI: 10.1504/ijhm.2023.10055520
Guojin Feng, D. Zhen, Shaoning Tian, Rahizar Bin Ramli, Xiaoxia Liang, Jie Yang, Changsheng Xi
{"title":"An improved gated convolutional neural network for rolling bearing fault diagnosis with imbalanced data","authors":"Guojin Feng, D. Zhen, Shaoning Tian, Rahizar Bin Ramli, Xiaoxia Liang, Jie Yang, Changsheng Xi","doi":"10.1504/ijhm.2023.10055520","DOIUrl":"https://doi.org/10.1504/ijhm.2023.10055520","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66895421","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 : 2023-01-01DOI: 10.1504/ijhm.2023.10058748
Bo Liu, Ling Zhao, Ce Yan, Xin Liu, Shaomeng Gu
{"title":"Prescribed performance control for a pneumatic cylinder with strong friction via nonlinear extended state observer","authors":"Bo Liu, Ling Zhao, Ce Yan, Xin Liu, Shaomeng Gu","doi":"10.1504/ijhm.2023.10058748","DOIUrl":"https://doi.org/10.1504/ijhm.2023.10058748","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66896396","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 : 2023-01-01DOI: 10.1504/ijhm.2023.10060268
P.R. Budarapu, S.D.V.S.S. Varma Siruvuri, H. Verma
{"title":"A machine learning-based image classification of silicon solar cells","authors":"P.R. Budarapu, S.D.V.S.S. Varma Siruvuri, H. Verma","doi":"10.1504/ijhm.2023.10060268","DOIUrl":"https://doi.org/10.1504/ijhm.2023.10060268","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135450362","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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