Online monitoring and fault diagnosis for uneven length batch process based on multi‐way orthogonal enhanced neighborhood preserving embedding-Reference-Cited by-同舟云学术

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Online monitoring and fault diagnosis for uneven length batch process based on multi‐way orthogonal enhanced neighborhood preserving embedding

Published:2022-03-16 Issue:3 Volume:17 Page:
ISSN:1932-2135
Container-title:Asia-Pacific Journal of Chemical Engineering
language:en
Short-container-title:Asia-Pacific J Chem Eng

Author:

Zhang Yan¹²,Zhao Xiaoqiang¹²³^ORCID,Hui Yongyong¹²³^ORCID,Liu Kai¹²

Affiliation:

1. College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China

2. Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou China

3. National Experimental Teaching Center of Electrical and Control Engineering Lanzhou University of Technology Lanzhou China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/apj.2763

Reference40 articles.

1. Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

2. Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems

3. Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning

4. Monitoring Framework Based on Generalized Tensor PCA for Three-Dimensional Batch Process Data

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 Fault-Tolerant Soft Sensor Algorithm Based on Long Short-Term Memory Network for Uneven Batch Process;Processes;2024-02-28

2. Batch process monitoring based on sequential phase division multiway sparse weighted neighborhood preserving embedding;Measurement Science and Technology;2023-12-11

3. Nonlinear multiphase batch process monitoring and quality prediction using multi-way concurrent locally weighted projection regression;Chemometrics and Intelligent Laboratory Systems;2023-09

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