Research on the Application of Chemical Process Fault Diagnosis Methods Based on Neural Network
Author:
Affiliation:
1. Science, Technology and Planning Division, Panjin Vocational & Technical College, China
2. Information & Network Center, Panjin Vocational & Technical College, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3673277.3673314
Reference11 articles.
1. A Data-Driven Fault Detection and Diagnosis by NSGAII-t-SNE and Clustering Methods in the Chemical Process Industry
2. Real-time sensor fault detection in Tokamak using different machine learning algorithms
3. Anh H P H , Dat N T .Robust adaptive control of nonlinear dynamic systems using hybrid sliding mode regressive neural learning technique[J].Engineering computations: International journal for computer-aided engineering and software, 2023.
4. A Relation-based Semi-supervised Method for Gearbox Fault Diagnosis with Limited Labeled Samples
5. Mitchell R J J , Hartman M J , Tomlinson H W J. 2024. Internet based remote diagnostic system:EP20000308578[P].EP1089493A3 [2024-01-12].D OI:doi:EP1089493 A3. R. Nicole, “Title of paper with only first word capitalized,” J. Name Stand. Abbrev., in press.
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