This article uses acoustic emission (AE) analysis to diagnose an industrial-scale and slow-
speed wind turbine blade bearing. The main challenge for AE analysis is that the fault …

This study investigates the feasibility of wind turbine blade fault detection using acoustic
signals. Traditionally, many physical-based features were used for blade fault detection. In …

Rolling bearing failures significantly contribute to mechanical breakdowns, underlining the
necessity for efficient diagnostic strategies. In this article, I explore signal filtering techniques …

This paper presents an IoT based multi-environmental sensing system in order to monitor
the rotor bar fault in induction motors. For this purpose, an upgraded prototype all-in one …

Various physical characteristics, including ultrasonic waves, active acoustic emissions,
vibrations, and thermal imaging, have been used for blade fault detection. In this work, we …