Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes-Reference-Cited by-同舟云学术

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Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes

Published:2011-12 Issue:12 Volume:22 Page:2284-2295
ISSN:1045-9227
Container-title:IEEE Transactions on Neural Networks
language:
Short-container-title:IEEE Trans. Neural Netw.

Author:

Qiang Liu ,Tianyou Chai ,Hong Wang ,Si-Zhao Joe Qin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,General Medicine,Software

Link

http://xplorestaging.ieee.org/ielx5/72/6099846/06026953.pdf?arnumber=6026953

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2. 3-D online modeling and assessment of operating performance for nonstationary industrial processes with nonlinearity;Journal of Process Control;2021-05

3. A Multi-source Feature-level Fusion Approach for Predicting Strip Breakage in Cold Rolling;2020 IEEE 16th International Conference on Automation Science and Engineering (CASE);2020-08

4. Linearity Decomposition-Based Cointegration Analysis for Nonlinear and Nonstationary Process Performance Assessment;Industrial & Engineering Chemistry Research;2020-01-13

5. Non‐linear optimal control for the hot‐steel rolling mill system;IET Collaborative Intelligent Manufacturing;2019-09

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