Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring-Reference-Cited by-同舟云学术

Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring

Published:2021-06-28 Issue:26 Volume:60 Page:9521-9531
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Park Damdae¹,Na Jonggeol²,Lee Jong Min¹^ORCID

Affiliation:

1. School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea

2. Division of Chemical Engineering and Materials Science, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea

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.1c01271

Reference27 articles.

1. Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment

2. An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

3. Fault Detection and Classification Using Quality-Supervised Double-Layer Method

4. HMM-driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification

5. Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

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