[23p-61A-1~5] Frontiers of Energy Harvesting - Young Researchers Challenging Green Transformation -

2:00 PM - 2:30 PM JST(5:00 AM - 5:30 AM UTC)

[23p-61A-3] Battery-less and battery-combined EH abnormality diagnosis system

〇Takashi Nakajima¹, Tomohiro Sato¹ (1.Tokyo Univ. of Sci.)

Keywords:

energy harvesting,piezoelectricity,machine learning

In this presentation, we shall present a battery-free abnormality diagnosis system that utilizes power generated by vibration energy harvesting, and a failure diagnosis system that uses both vibration energy harvesting and battery. The abnormality diagnosis system successfully achieves highly accurate diagnosis using machine learning. The key to improving accuracy will also be explained.