It is in great need to achieve continuous battery-free wireless sensing and monitoring of an
amount of ultra-low-frequency large-scale rotational machines in transportation, civil …

Vibrations induced by human motions and vehicle operations feature low-frequency,
broadband, and time-varying. However, enhancing the power density of energy harvesting …

Health diagnosis for rotating machines significantly contributes to improving safety and
reliability. This research studies an AIOT system for anomaly prognosis for diesel generators …

The technique of energy harvesting, which captures the energy from ambient vibrations, has
received increasing attention due to its potential to power low-powered wireless sensors …

Efficient information extraction enhances condition monitoring and fault diagnosis for
bearings. The graph model (GM) has been proven to be a practical approach to extracting …

A self-powered wireless sensor system (SP-WSS) integrating a high-power energy harvester
(EH) has been proposed for real-time monitoring of the propulsion shaft. The main …

Traditional power supply methods for rotating mechanisms are found to face problems,
including complex structures, limited functionality, and potential safety hazards. To address …

The feasibility of energy harvesting as a viable alternative for powering low-energy
electronics has been demonstrated through advancements in transduction mechanisms …

This research investigates the effectiveness of various vibration data acquisition techniques
coupled with different machine learning models for detecting anomalies and classifying …

We applied our previously developed wireless sensor node (WSN), which is powered by a
piezoelectric vibration energy harvester (VEH), to structural health monitoring and verified its …