Identification of Fuzzy Rule Based System for Fault Diagnosis in Chemical Plants-Reference-Cited by-同舟云学术

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Identification of Fuzzy Rule Based System for Fault Diagnosis in Chemical Plants

Published:1992-04 Issue:4 Volume:25 Page:79-82
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Vachkov G.,Matsuyama H.

Publisher

Elsevier BV

Subject

General Medicine

Reference14 articles.

1. A self-generating method of fuzzy inference rules;Araki,1991

2. Fuzzy models of unit operations;Dohnal;Chem. Eng. Commun,1982

3. Fuzzy logic in knowledge-based systems, desicion and control,1988

4. An algorithm for diagnosis of system failure in the chemical process;Iri;Comput & Chem. Eng,1979

5. A self-tuning method of fuzzy control by Descent Method;Nomura,1991

Cited by 4 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. Fault detection, diagnosis and calibration of heating, ventilation and air conditioning sensors by combining principal component analysis and improved bayesian inference;Journal of Building Engineering;2024-04

2. Self adaptive learning scheme for early diagnosis of simple and multiple switch faults in multicellular power converters;ISA Transactions;2021-07

3. Fault detection, diagnosis and data recovery for a real building heating/cooling billing system;Energy Conversion and Management;2010-05

4. The self-validating sensor: rationale, definitions and examples;Control Engineering Practice;1993-08

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