Machine Condition Monitoring and Fault Diagnosis: From Theory to Application
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 11155
Special Issue Editor
Interests: fault diagnosis method; fault modeling; condition monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern machines are becoming more complex in structure and operate under harsher loading and operational conditions. To ensure the efficient and reliable operation of machines, minimize unscheduled downtime, and lower operation and maintenance costs, it is necessary to develop intelligent fault diagnostic methods and assess their health state for the aim of identifying the mode, type, severity, and degradation trend of faults.
This Special Issue encourages and welcomes original research articles on machine fault detection, diagnosis, and prognosis. Potential topics include but are not limited to the following:
- Fault diagnosis method based on various sensor data;
- Signal processing;
- Fault model research with changeable variable transfer path;
- Fault diagnostics under non-stationary operating conditions;
- Fault prediction;
- Machine-learning-based fault diagnostics and condition monitoring;
- Fatigue analysis of machinery.
Dr. Feiyun Cong
Guest Editor
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