大容量计量系统组合的协同诊断

IF 0.5 Q4 ENGINEERING, INDUSTRIAL

International Journal of Manufacturing Research Pub Date : 2019-01-01 DOI:10.1504/IJMR.2019.10012033

D. Maisano, L. Mastrogiacomo

{"title":"大容量计量系统组合的协同诊断","authors":"D. Maisano, L. Mastrogiacomo","doi":"10.1504/IJMR.2019.10012033","DOIUrl":null,"url":null,"abstract":"Recent studies show that the combined use of large-volume metrology (LVM) systems (e.g., laser trackers, rotary-laser automatic theodolites, photogrammetric systems, etc.) can lead to a systematic reduction in measurement uncertainty and a better exploitation of the available equipment. The objective of this paper is to present some diagnostic tests for combinations of LVM systems that are equipped with distance and/or angular sensors. Two are the tests presented: a global test to detect the presence of potential anomalies during measurement and a local test to isolate any faulty sensor(s). This diagnostics is based on the cooperation of sensors of different nature, which merge their local measurement data, and it can be implemented in real-time, without interrupting or slowing down the measurement process. The description of the tests is supported by several experimental examples. [Submitted 28 March 2017; Accepted 27 December 2017]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cooperative diagnostics for combinations of large-volume metrology systems\",\"authors\":\"D. Maisano, L. Mastrogiacomo\",\"doi\":\"10.1504/IJMR.2019.10012033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent studies show that the combined use of large-volume metrology (LVM) systems (e.g., laser trackers, rotary-laser automatic theodolites, photogrammetric systems, etc.) can lead to a systematic reduction in measurement uncertainty and a better exploitation of the available equipment. The objective of this paper is to present some diagnostic tests for combinations of LVM systems that are equipped with distance and/or angular sensors. Two are the tests presented: a global test to detect the presence of potential anomalies during measurement and a local test to isolate any faulty sensor(s). This diagnostics is based on the cooperation of sensors of different nature, which merge their local measurement data, and it can be implemented in real-time, without interrupting or slowing down the measurement process. The description of the tests is supported by several experimental examples. [Submitted 28 March 2017; Accepted 27 December 2017]\",\"PeriodicalId\":40033,\"journal\":{\"name\":\"International Journal of Manufacturing Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Manufacturing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMR.2019.10012033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Manufacturing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMR.2019.10012033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 0

摘要

最近的研究表明，结合使用大体积计量(LVM)系统(例如，激光跟踪仪，旋转激光自动经纬仪，摄影测量系统等)可以导致系统地减少测量不确定度和更好地利用现有设备。本文的目的是为配备距离和/或角度传感器的LVM系统组合提供一些诊断测试。提出了两种测试:一种是检测测量过程中是否存在潜在异常的全局测试，一种是隔离任何故障传感器的局部测试。这种诊断基于不同性质的传感器的合作，这些传感器合并了它们的本地测量数据，并且可以实时实施，而不会中断或减慢测量过程。试验的描述得到了几个实验实例的支持。[2017年3月28日提交;接受2017年12月27日]

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Cooperative diagnostics for combinations of large-volume metrology systems

Recent studies show that the combined use of large-volume metrology (LVM) systems (e.g., laser trackers, rotary-laser automatic theodolites, photogrammetric systems, etc.) can lead to a systematic reduction in measurement uncertainty and a better exploitation of the available equipment. The objective of this paper is to present some diagnostic tests for combinations of LVM systems that are equipped with distance and/or angular sensors. Two are the tests presented: a global test to detect the presence of potential anomalies during measurement and a local test to isolate any faulty sensor(s). This diagnostics is based on the cooperation of sensors of different nature, which merge their local measurement data, and it can be implemented in real-time, without interrupting or slowing down the measurement process. The description of the tests is supported by several experimental examples. [Submitted 28 March 2017; Accepted 27 December 2017]

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Journal of Manufacturing Research Engineering-Industrial and Manufacturing Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Manufacturing contributes significantly to modern civilization and creates momentum that drives today"s economy. Much research work has been devoted to improving manufactured product quality and manufacturing process efficiency for many decades. Thanks to recent advances in computer and network technologies, sensors, control systems and manufacturing machines, manufacturing research has progressed to a new level. In addition, new research areas in manufacturing are emerging to address problems encountered in the evolving manufacturing environment, such as the increasing business practice of globalisation and outsourcing. This dedicated research journal has been established to report state-of-the-art and new developments in modern manufacturing research.