Energy Equipment and Condition Monitoring

Dear Colleagues,

This topic has been developed to provide networking and collaborating opportunities for practitioners in the fields of energy equipment, fault diagnosis, status detection, as well as associated artificial intelligence (AI) applications. It is expected to engage the international participation of academics, researchers, and professional practitioners to share knowledge and experience from the frontiers of research and practices. The sharing of ideas could bridge gaps and enrich understanding from a systemic cross-disciplinary perspective. In this topic, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: 

• Small wind turbines;
• Small solar generation equipment;
• Innovative wind turbine aerodynamic and structural designs;
• Innovative solar generation equipment structural designs;
• Hyperspectral imagery on solar panels or photovoltaic panels;
• Hyperspectral imagery on wind energy;
• The development of advanced measurement systems;
• Improved numerical prediction tools for wind energy analysis;
• Improved wind turbine maintenance, scheduling, lifetime assessment and health monitoring. We look forward to receiving your contributions.

Dr. Zhifeng Xiao
Dr. Bin Huang
Dr. Lida Liao
Topic Editors