Recent Patents on Mechanical Engineering最新文献_第8页

A New Approach to the Position of Acupoints on the Back of Humans 人体背部穴位定位的新方法

Recent Patents on Mechanical Engineering Pub Date : 2023-04-17 DOI: 10.2174/2212797616666230417103403

Shenglong Xie, Zijing Liu, Liang’an Zhang, Fengfeng Song

{"title":"A New Approach to the Position of Acupoints on the Back of Humans","authors":"Shenglong Xie, Zijing Liu, Liang’an Zhang, Fengfeng Song","doi":"10.2174/2212797616666230417103403","DOIUrl":"https://doi.org/10.2174/2212797616666230417103403","url":null,"abstract":"\u0000\u0000In order to realize the position of acupoints on the back of humans, a new acupoints positioning approach combined with machine vision technology is proposed in this paper.\u0000\u0000\u0000\u0000The acupuncture point (acupoint) is an important reference in the treatment of Traditional Chinese Medicine (TCM). However, the traditional acupoints positioning method mainly depends on manpower, which has the disadvantages of low efficiency and relying on practical experience heavily.\u0000\u0000\u0000\u0000In order to realize the position of acupoints on the back of humans, a new acupoints positioning approach combined with machine vision technology is proposed in this paper.\u0000\u0000\u0000\u0000Firstly, the distribution of acupoints on the back of humans are determined according to the meridian theory, and the coordinate of each acupoint are established based on the approach of finger-cun measurement. Secondly, the principle of the proposed acupoints positioning method is introduced based on the skeleton model of humans. Finally, the effectiveness of the proposed approach is validated by experimental testing.\u0000\u0000\u0000\u0000The value of emax is around 3.5mm and those of emae and erms are smaller than 0.25mm and 0.45mm, respectively.\u0000\u0000\u0000\u0000The experimental results prove that the proposed approach possesses the capability of good adaptive capability and high.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43371283","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}

引用次数: 0

Obstacle Avoidance Path Planning of 7-DOF Redundant Manipulator Based on Improved Ant Colony Optimization 基于改进蚁群优化的7自由度冗余机械臂避障路径规划

Recent Patents on Mechanical Engineering Pub Date : 2023-04-17 DOI: 10.2174/2212797616666230417104506

Wenjie Wang, Shuai Wang, Yuting Cao, Yang Luo, Xiaohua Wang

{"title":"Obstacle Avoidance Path Planning of 7-DOF Redundant Manipulator Based on Improved Ant Colony Optimization","authors":"Wenjie Wang, Shuai Wang, Yuting Cao, Yang Luo, Xiaohua Wang","doi":"10.2174/2212797616666230417104506","DOIUrl":"https://doi.org/10.2174/2212797616666230417104506","url":null,"abstract":"\u0000\u0000Obstacle avoidance path planning is an important parameter of robot manip-ulators. Path planning can directly affect the working efficiency of the ma-nipulator.\u0000\u0000\u0000\u0000This study aims to summarize the optimization design method from a large number of literature and propose a new optimization design method to make the planned obstacle avoidance path of the manipulator shorter and smooth-er.\u0000\u0000\u0000\u0000The forward and inverse kinematics of the redundant manipulator is solved. Secondly, the obstacle and the robot manipulator envelope are simplified for collision detection. Then, the ant colony algorithm is improved by adding an obstacle environment to the construction of the heuristic function and dy-namically adjusting the heuristic function factor to make the shortest path distance planned by the algorithm. Finally, the worst ant colony is added to the pheromone update to avoid the algorithm falling into the local optimal solution.\u0000\u0000\u0000\u0000Through experiments and comparative studies, the optimized design process shows that the path planned by the improved ant colony algorithm has obvi-ous advantages of shorter path distance and smoother path distance, which verifies the rationality of the improved algorithm.\u0000\u0000\u0000\u0000This method optimizes the convergence speed of the ant colony algorithm and avoids the ant colony algorithm from falling into the local optimal solu-tion, which is of great significance for improving the obstacle avoidance path planning problem of a redundant manipulator with a degree of freedom.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43906344","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}

引用次数: 0

Meet the Editorial Board Member 与编辑委员会成员见面

Recent Patents on Mechanical Engineering Pub Date : 2023-04-01 DOI: 10.2174/221279761602230623121614

Ahmed Mohammed Rashad

引用次数: 0

Patent Selections 专利的选择

Recent Patents on Mechanical Engineering Pub Date : 2023-04-01 DOI: 10.2174/221279761602230623124727

引用次数: 0

Soft Short-circuit Fault Diagnosis of the Lithium-ion Battery Pack Based on an Improved EKF Algorithm 基于改进EKF算法的锂离子电池组软短路故障诊断

Recent Patents on Mechanical Engineering Pub Date : 2023-03-30 DOI: 10.2174/2212797616666230330103334

Xinkun Cai, Lingzhi Yi, Yahui Wang, Bote Luo, Jiangyong Liu, Bo Liu

{"title":"Soft Short-circuit Fault Diagnosis of the Lithium-ion Battery Pack Based on an Improved EKF Algorithm","authors":"Xinkun Cai, Lingzhi Yi, Yahui Wang, Bote Luo, Jiangyong Liu, Bo Liu","doi":"10.2174/2212797616666230330103334","DOIUrl":"https://doi.org/10.2174/2212797616666230330103334","url":null,"abstract":"\u0000\u0000Lithium-ion batteries are widely used in new energy vehicles and energy storage systems due to their superior performance. However, lithium batteries are prone to safety problems in the use process, so the fault diagnosis technology of lithium batteries has attracted more attention.\u0000\u0000\u0000\u0000This study aimed to ensure the safety of lithium batteries and accurately and timely diagnose the soft short circuit (soft SC) fault of lithium battery\u0000\u0000\u0000\u0000Aiming at the energy storage lithium battery pack, this study proposed a soft short-circuit fault diagnosis method for the lithium-ion battery pack based on the improved Extended Kalman Filter (EKF) algorithm. First, the 1st-order RC equivalent circuit model of normal battery and soft SC fault battery was established, and model parameters were identified using Recursive Least Squares with Forgetting Factor (FFRLS). Then, using the improved EKF, the state of charge (SOC) of a single cell was estimated, and the difference between the calculated SOC and the estimated SOC by the coulomb counting method was used to detect soft SC faults and compared them with the reference data. Finally, the SC resistance value indicated the severity of the fault.\u0000\u0000\u0000\u0000The proposed method could accurately diagnose the soft short circuit fault, and the error was found to be lower than the traditional EKF algorithm. The estimation error was about 0.4% for the battery with slight failure and about 1.5% for the battery with serious failure.\u0000\u0000\u0000\u0000The experimental results showed that the improved EKF algorithm could estimate the SOC difference more accurately, and the effect of soft SC fault diagnosis was better. At the same time, it could quantitatively identify the size of the short circuit resistance, which is very helpful for the subsequent management of the battery system.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45869662","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}

引用次数: 0

Research on wheel out-of-round fault diagnosis based on vibration data images 基于振动数据图像的车轮失圆故障诊断研究

Recent Patents on Mechanical Engineering Pub Date : 2023-03-30 DOI: 10.2174/2212797616666230330105028

H. Yao, Peng Sun, Chunping Yuan

{"title":"Research on wheel out-of-round fault diagnosis based on vibration data images","authors":"H. Yao, Peng Sun, Chunping Yuan","doi":"10.2174/2212797616666230330105028","DOIUrl":"https://doi.org/10.2174/2212797616666230330105028","url":null,"abstract":"\u0000\u0000The wheel out-of-round fault of urban rail vehicles has a very important impact on the safe operation of urban rail trains. Therefore, it is of great significance to achieve an accurate diagnosis of the wheel out-of-round fault of trains.\u0000\u0000\u0000\u0000The purpose of this paper is to summarize the diagnosis methods of the wheel out-of-round fault, and propose a new diagnosis method based on vibration data images, which can effectively identify the wheel out-of-round fault.\u0000\u0000\u0000\u0000The one-dimensional vibration signal is converted into a two-dimensional texture matrix. The Statistical Geometrical Features (SGF) method extracts the feature information of the two-dimensional gray image and combines it with a support vector machine for training and recognition to achieve the fault diagnosis of the wheel out-of-roundness.\u0000\u0000\u0000\u0000The feasibility and accuracy of the method are verified by simulation and experimental signal analysis, respectively. The experimental results show that the overall recognition accuracy of the model simulation data and the two-wheel experimental bench data exceeds 91%, exhibiting significantly high fault identification accuracy.\u0000\u0000\u0000\u0000In this paper, a wheel out-of-round fault diagnosis model based on vibration data images has been established by analyzing the vertical dynamic signal of the axle box, which has the advantages of fast recognition in combination with two-dimensional grey-scale images, no signal pre-processing, and high recognition accuracy. It provides a new method for monitoring and diagnosing wheel out-of-round faults in urban rail vehicles.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42183922","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}

引用次数: 0

Parameters Optimization of Turning Process under Extended Carbon Emissions Accounting Method 扩展碳排放核算法下车削工艺参数优化

Recent Patents on Mechanical Engineering Pub Date : 2023-02-21 DOI: 10.2174/2212797616666230221145732

Zhaohui Liu, Dateng Zheng, Yuming Guo, Zhongyue Xiao, Qiang Wang

{"title":"Parameters Optimization of Turning Process under Extended Carbon Emissions Accounting Method","authors":"Zhaohui Liu, Dateng Zheng, Yuming Guo, Zhongyue Xiao, Qiang Wang","doi":"10.2174/2212797616666230221145732","DOIUrl":"https://doi.org/10.2174/2212797616666230221145732","url":null,"abstract":"\u0000\u0000To evaluate the environmental benefits of the manufacturing system and optimize the process parameters, a more effective method of evaluating environmental benefits should be adopted, which can be used for process parameters optimization.\u0000\u0000\u0000\u0000Mechanical manufacturing systems generally include raw materials, energy, products, waste emissions, capital, labor, and other elements. The Extended Carbon-Emissions Accounting (ECEA) method is an extension of the traditional Carbon Emissions Accounting (CEA) method, which can account for capital and labor elements in equivalent carbon emissions similar to other elements.\u0000\u0000\u0000\u0000Through the ECEA method, the Extended Carbon Dioxide Emissions (Ex-CDE) of the manufacturing system are obtained by accumulating the value by multiplying the consumption of each element and its Extended Carbon Emission Factor (Ex-CEF), which can be used as the environmental benefits of the manufacturing system. Then, a comprehensive optimization case of low-carbon, high-efficiency, and low-cost can be built, including all consumption elements, and the COMPLEX algorithm is used to solve this optimization problem.\u0000\u0000\u0000\u0000Taking a turning process as an example, through the ECEA method combined with the COMPLEX algorithm, the process parameters for environmental benefits or comprehensive optimization can be solved.\u0000\u0000\u0000\u0000ECEA method is suitable for environmental benefits analysis and optimization of the manufacturing system.\u0000\u0000\u0000\u0000ECEA method is suitable for manufacturing system environmental benefits analysis and optimization.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":"23 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41259414","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}

引用次数: 0

Meet the Editor-in-Chief 见见总编辑

Recent Patents on Mechanical Engineering Pub Date : 2023-02-01 DOI: 10.2174/221279761601230223162243

Song Mengjie

引用次数: 0

Preface 前言

Recent Patents on Mechanical Engineering Pub Date : 2023-02-01 DOI: 10.2174/221279761601230223162048

Song Mengjie

引用次数: 0

Patent Selections: 专利的选择:

Recent Patents on Mechanical Engineering Pub Date : 2023-02-01 DOI: 10.2174/221279761601230223164542

引用次数: 0