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基于多传感器融合的大型部件装配监测系统的误差分析与建模

Error Analysis and Modeling of a Large Component Assembly Monitoring System Based on Multi-Sensor Fusion.

作者信息

Guo Zhenggang, Lu Feng, Jiao Tizhao, Yu Jingqi, Chang Fu

机构信息

School of Mechanical Engineering, Dalian University of Technology of China, Dalian 116024, China.

出版信息

Sensors (Basel). 2024 Sep 15;24(18):5992. doi: 10.3390/s24185992.

DOI:10.3390/s24185992
PMID:39338737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11435650/
Abstract

Large components are crucial in modern industrial applications, especially for internal gap monitoring and specific assembly methods. This paper examines the assembly of hydroelectric generator rotors and stators, introducing a spatial relative position monitoring system using multiple sensors. A dedicated position monitoring program is designed, and error sources within the system are thoroughly explored. Detailed error analysis and modeling reveal that verticality and angular errors significantly impact monitoring accuracy. To address this, two error control methods are proposed to effectively mitigate these issues, ensuring precise assembly of large components.

摘要

大型部件在现代工业应用中至关重要,特别是在内部间隙监测和特定装配方法方面。本文研究了水轮发电机转子和定子的装配,介绍了一种使用多个传感器的空间相对位置监测系统。设计了一个专用的位置监测程序,并深入探讨了系统内的误差源。详细的误差分析和建模表明,垂直度和角度误差对监测精度有显著影响。为解决这一问题,提出了两种误差控制方法来有效缓解这些问题,确保大型部件的精确装配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/83038a27c032/sensors-24-05992-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/4db1edb0c20d/sensors-24-05992-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/8de627d4fad6/sensors-24-05992-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/8fa1b00352c2/sensors-24-05992-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/74aceeff50d9/sensors-24-05992-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/b7f9c5fb1828/sensors-24-05992-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/d6a72cd3780e/sensors-24-05992-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/9e8111d9b938/sensors-24-05992-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/a618c3873c46/sensors-24-05992-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/83038a27c032/sensors-24-05992-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/4db1edb0c20d/sensors-24-05992-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/8de627d4fad6/sensors-24-05992-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/8fa1b00352c2/sensors-24-05992-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/74aceeff50d9/sensors-24-05992-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/b7f9c5fb1828/sensors-24-05992-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/d6a72cd3780e/sensors-24-05992-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/9e8111d9b938/sensors-24-05992-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/a618c3873c46/sensors-24-05992-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1df/11435650/83038a27c032/sensors-24-05992-g009.jpg

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