Advancement of Fault Detection and Fault-Tolerant Control with Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 6805
Special Issue Editors
Interests: power system big data analysis and mining; intelligent scheduling; distributed power planning; power quality analysis and control
Interests: fault detection
Special Issue Information
Dear Colleagues,
Fault detection and fault-tolerant control is a comprehensive and applied technical science based on modern science and technologies such as information detection, signal processing, computer application, pattern recognition, and mechanical engineering. It plays an important role in ensuring the integrity and normal operation of key machinery and equipment, improving productivity, reducing costs, and strengthening production management. At present, with the development of artificial intelligence technology, big data mining, machine learning, deep learning, and other technologies, a large number of fault detection methods and applications as well as fault-tolerant control methods have been gradually proposed. However, these methods face challenges regarding their field application and reliability. This Special Issue aims to present research and analysis on fault detection and fault-tolerant control. This includes but is not limited to:
- Rotating machinery monitoring and vibration signal processing
- Measurement methods, technologies, and systems for equipment signals
- Fault-tolerant control
- Fault diagnosis based on interpretable deep learning
- Enhanced technology for equipment failure data
- Multi-sensor data fusion fault diagnosis
- Fault detection under unbalanced small sample conditions
- Field application effect analysis of equipment status detection method
Prof. Dr. Nantian Huang
Prof. Dr. Zhenbing Zhao
Dr. Shu Zhang
Guest Editors
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Keywords
- fault detection
- fault-tolerant control
- equipment troubleshooting
- artificial intelligence
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