A Framework to Support Failure Cause Identification in Manufacturing Systems through Generalization of Past FMEAs-Reference-Cited by-同舟云学术

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A Framework to Support Failure Cause Identification in Manufacturing Systems through Generalization of Past FMEAs

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
language:
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Author:

Okazaki Sho¹,Shirafuji Shouhei²,Yasui Toshinori³,Ota Jun²

Affiliation:

1. The University of Tokyo,School of Engineering,Department of Precision Engineering,Tokyo,Japan,113-8656

2. The University of Tokyo,Research into Artifacts, Center for Engineering School of Engineering,Tokyo,Japan,113-8656

3. Denso Corporation,Aichi,Japan,448-8661

Funder

New Energy and Industrial Technology Development Organization

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10196083/10196094/10196264.pdf?arnumber=10196264

Reference13 articles.

1. Knowledge-based multi-agent system for manufacturing problem solving process in production plants

2. A distributed system for rapid determination of nonconformance causes and solutions for the thermoplastic injection molding process: A Case-Based Reasoning Agents approach

3. A research on intelligent fault diagnosis of wind turbines based on ontology and FMECA

4. Ontology-based Fault Diagnosis

Cited by 2 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. Description Method and Failure Ontology for Utilizing Maintenance Logs with FMEA in Failure Cause Inference of Manufacturing Systems;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

2. Configuring and Validating Multi-aspect Risk Knowledge for Industry 4.0 Information Systems;Lecture Notes in Computer Science;2024

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