Diagnostics and Condition Monitoring Technologies for Assuring Asset Performances

Dear Colleagues,

Condition monitoring technologies provide the information regarding the current status and future evolution of health conditions of engineering systems, which is of vital importance for guaranteeing the efficiency and reliability of engineering assets. This Special Issue presents the latest progress in the field of condition monitoring and fault diagnostics, which address the challenges of assuring the performance in the full life-cycle of engineering systems, which include not only the energy generation systems of conventional power stations and contemporary wind and photovoltaic power plants, but also various enginery consumption systems in all industries. This Special Issue includes, but is not limited to, the topics below:

1. Condition monitoring methods, technologies, and systems;
2. Model and data driven prognostics;
3. Tribology and vibro-acoustics for condition monitoring;
4. Signal processing techniques for stationary and non-stationary conditions;
5. Artificial intelligence, machine learning, feature extraction, and pattern recognitions;
6. Data mining and fusions;
7. New sensing methods and technologies;
8. Energy harvesting systems;
9. Intelligent devices and components.

Prof. Dr. Fengshou Gu
Guest Editor

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