The 83rd JSAP Autumn Meeting 2022

Presentation information

Oral presentation

16 Amorphous and Microcrystalline Materials » 16.2 Energy Harvesting

[21a-A304-1~7] 16.2 Energy Harvesting

Wed. Sep 21, 2022 9:00 AM - 11:00 AM A304 (A304)

Takayuki Fujita(University of Hyogo)

10:15 AM - 10:30 AM

[21a-A304-5] Battery-less fault diagnostic device using vibration energy harvesting

〇(M1)Tomohiro Sato1, Takashi Nakajima1 (1.Tokyo Univ. of Sci)

Keywords:vibration power generation, energy harvesting, fault diagnosis

We developed battery-less fault diagnostic system using vibration energy harvesting. Compared to the use of batteries, energy harvesting, which generates mW-class power, is limited in the amount of sensor information it can transmit. By applying machine learning algorithms to the analysis, this research has succeeded in achieving highly accurate fault diagnosis even when the amount of data is limited.