2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)最新文献_第10页

Research on non-contact measurement method of ball screw nut based on spectral confocal principle 基于光谱共聚焦原理的滚珠丝杠螺母非接触测量方法研究

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265867

Zhang Xutao, Gao Feng, Li Yan, Hai Lixin, Shui Linqi

{"title":"Research on non-contact measurement method of ball screw nut based on spectral confocal principle","authors":"Zhang Xutao, Gao Feng, Li Yan, Hai Lixin, Shui Linqi","doi":"10.1109/ICEMI.2017.8265867","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265867","url":null,"abstract":"The ball screw nut is the key component in the ball screw pair. Because of its complex inner structure and small hole size, it is difficult to measure machined accuracy of the ball screw nut. A non-contact measurement method of the ball screw nut based on spectral confocal principle is presented. The measurement space of the cylindrical coordinate of the nut is established according to its structure features. The inner cavity is scanned by dividing the section layer by layer to obtain the three-dimensional point-cloud data of the inner surface. Through transferring measurement space of the cylindrical coordinate into the calculation space of the rectangular coordinate the structure parameters of the inner groove of the ball screw nut are calculated, including pitch, inner diameter, pitch diameter, median runout and lead angle. The chord height difference method is used to denoise and filter the measurement data to get the more actual measured data. The three-dimensional reconstruction of the nut cavity structure is carried out using reverse technology to display the processed textures. The feasibility and effectiveness of the method is verified by the measurement experiment of ball screw nut. The experimental results show that the measurement method proposed in this paper can effectively check the ball screw nut with the high measurement accuracy, and has the ability of wide measurement range, and good expansion.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132306481","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: 2

DOA estimation of partially polarized signals using conjugate MUSIC 用共轭MUSIC估计部分极化信号的DOA

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265977

Wu Minjie, Meng Tianzhen, Huang Jingjian, Zhang Xiaofa, Y. Naichang

引用次数: 1

A rolling CRC based HDMI function testing method design 一种基于滚动CRC的HDMI功能测试方法设计

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265918

Gao Jian

引用次数: 0

Current mode third-order high-pass filter based on CC II 基于CCⅱ的电流模式三阶高通滤波器

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265915

Xu Jie, Zhang Zhenghua, Li Renren

引用次数: 2

Design of intelligent car control system based on new energy 基于新能源的智能汽车控制系统设计

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265743

Sun Jiang-hong, Li Gang, Yu Mei, Du Hongchen

引用次数: 2

Fabrication and calibration of Pt/Au thin-film thermocouple based on a modified screen printing technology 基于改进丝网印刷技术的铂/金薄膜热电偶制备与标定

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265751

Ding Jiong, Wang Jichen, Yang Suijun, Ye Shuliang

{"title":"Fabrication and calibration of Pt/Au thin-film thermocouple based on a modified screen printing technology","authors":"Ding Jiong, Wang Jichen, Yang Suijun, Ye Shuliang","doi":"10.1109/ICEMI.2017.8265751","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265751","url":null,"abstract":"The purpose of the current study is to find a low-cost and rapid-fabrication approach for producing Thin-film thermocouples (TFTCs) with different junction thicknesses. Nowadays, the popular TFTC fabrication methods are usually based on physical vapour deposition technology. They are high time cost and poor economy. In order to improve the production efficiency, a modified screen printing technology which is combining with wet grinding technology was employed in this article. First, the uniform thickness Pt/Au TFTCs were fabricated based on the regular screen printing technology. Then, the different junction thickness TFTCs were obtained through polished by an automatic high precision lapping machine. With this step, the junction thickness of TFTC is no longer limited to the viscosity and fineness of the ink in the present method. Through the calibration experiments, the static and dynamic performance of the fabricated Pt/Au TFTCs were estimated. The results show that the Seebeck coefficient of these TFTCs have no significant degradation compared with wire-style thermocouples in the temperature from 50 °C to 620 °C. The repeatability and consistency of these TFTCs are satisfying the requirements of the wire-style thermocouples. The pulse laser heating experiments results show the response time constant of these TFTCs are less than 12.33 μΞ. Compared with other screen-printed TFTCs, the Pt/Au TFTC presented in this study has a wider temperature measurement range. This implied that this rapidly and economically fabricated TFTCs can satisfy the requirements in many transient surface temperature measurement applications.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114294909","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: 1

Software implementation of corn grain morphology detection based on OpenCV 基于OpenCV的玉米晶粒形态检测软件实现

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265837

Sun Jin, H. Zedong, L. Yuan

引用次数: 2

Design and numerical simulation of multi direction jet flow generator 多向射流发生器的设计与数值模拟

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265938

Chang Xingyuan, Piao Linhua, Piao Ran

引用次数: 0

A 2-layered structure sea-sky-line detection algorithm based on regional optimal variance 基于区域最优方差的两层结构海天线检测算法

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265991

Li Xiyao, Zhao Chenbing, Zhang Suoping, Li Mingbing, Qi Zhanhui

引用次数: 5

Incremental fault diagnosis: Exploiting unlabelled data with semi-supervised ensemble learning 增量故障诊断:利用半监督集成学习的未标记数据

2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2017-10-01 DOI: 10.1109/ICEMI.2017.8265696

Dai Jing, Wang Zhenya

{"title":"Incremental fault diagnosis: Exploiting unlabelled data with semi-supervised ensemble learning","authors":"Dai Jing, Wang Zhenya","doi":"10.1109/ICEMI.2017.8265696","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265696","url":null,"abstract":"Fault diagnosis is gaining interest both in academic and industry fields, which assures machinery operational safety and reliability in terms of electrical equipments such as servo actuator systems. With a view to design a desirable diagnosis method that can gain better generalization ability of fault diagnosis with limited labeled data, a novel fault diagnosis method that utilizes tri-training architecture based semi-supervised ensemble learning is proposed, where three base learners are established and trained iteratively to reinforce the learning process by exploiting unlabeled data plus few labeled data. Besides, given consideration to both accuracy and diversity, a data editing technique for unlabeled samples is used in this study for the purpose of augmenting the differentiation of the base classifiers, where kernel principle component analysis (KPCA) maps the self learnt samples into several label vectors to further select the subsets with greater diversity instead of all for the incremental training. The proposed method aims to facilitate fault identification ability adaptively by taking advantage of unlabeled samples, which is appropriate for dealing with the diagnosis issues that only limited number of labeled data exist. Comparative experiments are included in this paper to demonstrate the effectiveness in fault diagnosis of servo actuator systems.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916372","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: 2