Machine Health Monitoring and Fault Diagnosis Techniques (Volume II)
Shilong Sun1,2, Changqing Shen3, Dong Wang4
1School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|November 27, 2024
Summary
This research explores advanced fault diagnosis and condition monitoring techniques for engineering systems. It focuses on innovative defect detection methods to enhance system reliability and performance.
Area of Science:
- Engineering
- Materials Science
- Mechanical Engineering
Background:
- Effective fault diagnosis and condition monitoring are crucial for the reliability and safety of engineering systems.
- Traditional methods may face limitations in detecting subtle defects or complex fault patterns.
- The increasing complexity of modern engineering systems necessitates advanced diagnostic approaches.
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