Fault Detection and Classification for a Process with Multiple Production Grades-Reference-Cited by-同舟云学术

Fault Detection and Classification for a Process with Multiple Production Grades

Published:2008-10-04 Issue:21 Volume:47 Page:8250-8262
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Liu Jialin¹

Affiliation:

1. Department of Information Management, Fortune Institute of Technology,1-10, Nwongchang Road, Neighborhood 28, Lyouciyou Village, Daliao Township, Kaohsiung Country, Taiwan, Republic of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie0710014

Reference13 articles.

1. Adaptive fuzzy pattern recognition in the anaerobic digestion process

2. Adaptive Fuzzy C-Means clustering in process monitoring

3. Fault Detection and Operation Mode Identification Based on Pattern Classification with Variable Selection

4. The process chemometrics approach to process monitoring and fault detection

5. Experiences with industrial applications of projection methods for multivariate statistical process control

Cited by 16 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. Data-driven anomaly monitoring methods for multimode processes: overview and perspectives;SCIENTIA SINICA Informationis;2023-11-01

2. Multiple Recurrent Neural Networks Based Fault Diagnosis Model for Multi-mode Process;2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS);2022-08-03

3. Progress of Process Monitoring for the Multi-Mode Process: A Review;Applied Sciences;2022-07-18

4. Clustering Application for Condition-Based Maintenance in Time-Varying Processes: A Review Using Latent Dirichlet Allocation;Applied Sciences;2022-01-13

5. Monitoring of Multimode Continuous Processes;Studies in Systems, Decision and Control;2020-08-05