Statistical Diagnosis for Quality-Related Faults in BIW Assembly Process-Reference-Cited by-同舟云学术

Statistical Diagnosis for Quality-Related Faults in BIW Assembly Process

Published:2023-01 Issue:1 Volume:70 Page:898-906
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Fu Yu-kai¹^ORCID,Yang Guang-Hong²^ORCID,Ma Hong-Jun³^ORCID,Chen Hao⁴,Zhu Bo⁴^ORCID

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

3. School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

4. BMW Brilliance Automotive Ltd., Shenyang, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

State Key Laboratory of Synthetical Automation for Process Industries

North University of China

BMW Brilliance Automotive Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9866919/09700753.pdf?arnumber=9700753

Reference16 articles.

1. Data-Driven Output-Feedback Fault-Tolerant Compensation Control for Digital PID Control Systems With Unknown Dynamics

2. Observer-Based Adaptive Decentralized Fault-Tolerant Control of Nonlinear Large-Scale Systems With Sensor and Actuator Faults

3. Stream-of-Variation Theory for Automotive Body Assembly

4. A generalized likelihood ratio approach to state estimation in linear systems subjects to abrupt changes

5. Detection of Abrupt Changes in Signals and Dynamical Systems

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