Fault Diagnosis for a Multiblock Batch Process Based on Intermediate Block Dependency Analysis Reconstruction-Reference-Cited by-同舟云学术

Fault Diagnosis for a Multiblock Batch Process Based on Intermediate Block Dependency Analysis Reconstruction

Published:2016-11-14 Issue:46 Volume:55 Page:12027-12037
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Sun Rongrong¹,Zhang Yingwei¹

Affiliation:

1. College of Information Science and Engineering and ‡State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Liaoning 100819, P. R. China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation 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/acs.iecr.6b01923

Reference28 articles.

1. Multiway Gaussian Mixture Model Based Multiphase Batch Process Monitoring

2. Progressive multi-block modelling for enhanced fault isolation in batch processes

3. Process Monitoring Based on Independent Component Analysis−Principal Component Analysis (ICA−PCA) and Similarity Factors

4. Improved Process Understanding Using Multiway Principal Component Analysis

5. Abnormal situation management: Challenges and opportunities in the big data era

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2. Comment on “Fault Diagnosis for a Multiblock Batch Process Based on Intermediate Block Dependency Analysis Reconstruction”;Industrial & Engineering Chemistry Research;2019-09-25

3. Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions;Neurocomputing;2019-07