Manufacture process quality control of interferometric fibre optic gyroscope using analyses of multi-type assembly and test data-Reference-Cited by-同舟云学术

Manufacture process quality control of interferometric fibre optic gyroscope using analyses of multi-type assembly and test data

Published:2018-08-17 Issue:11 Volume:31 Page:1124-1140
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Liu Haoting¹^ORCID,Shi Donghai²,Hou Xinyu²,Yan Beibei³,Wang Wei³

Affiliation:

1. Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

2. Department of Processing, Beijing Aerospace Times Optical-electronic Technology Co. Ltd, Beijing, China

3. Department of R&D, Beijing Institute of Aerospace Control Device, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Fund for the China Central Universities of USTB

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2018.1509128

Reference28 articles.

1. Cloud manufacturing – a critical review of recent development and future trends

2. Quality factor analysis of metalworking process with AHP

3. Hindi phoneme classification using Wiener filtered wavelet packet decomposed periodic and aperiodic acoustic feature

4. A system for semiconductor process specification

5. A review of function modeling: Approaches and applications

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A digital twin-based multi-objective optimization method for technical schemes in process industry;International Journal of Computer Integrated Manufacturing;2022-09-26

2. Autonomous Navigation for Mars Exploration;Mars Exploration - a Step Forward;2020-09-09

3. Automatic Process Parameters Tuning and Surface Roughness Estimation for Laser Cleaning;IEEE Access;2020