Machine Learning-enhanced loT and Wireless Sensor Networks for predictive analysis and maintenance in wind turbine systems

Gong, Lei; Chen, Yanhui

doi:10.1016/j.ijin.2024.02.002

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Therefore, wind turbines have evolved significantly over the last years to harness wind energy more efficiently. In this context, the integration of wireless sensor networks within wind turbine rotor blades has emerged as a most promising approach for enabling predictive maintenance [1], monitoring structural health [2,3], and for optimizing the overall output performance [4,5]. However, powering these * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Scalable electromagnetic energy harvester for wind turbine rotor blade applications

Schlögl,

Schneider,

Schmid

2024

Smart Mater. Struct.

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One of the biggest challenges in structural health monitoring for rotor blades in wind turbines is to provide enough energy to power wireless sensor nodes. Batteries are not an adequate solution due to their limited lifetime and conventional cabling fails due to the rotation of the rotor blade. Therefore, we present an electromagnetic energy harvester that is specifically designed to be operated inside rotor blades and can generate a sufficient amount of energy. It uses the changing gravitational force vector to move a permanent magnet in a tube and converts this mechanical into electrical energy by coils arranged around the tube. Finite element methods simulations were performed to estimate the generated energy and an extensive parameter sweep of several key design parameters provided guidance for an optimized performance of a prototype. This device was characterized in the lab followed by a field test in a wind turbine where it was operated for several days and provided a continuous and rectified power of 6 mW, enough to power conventional wireless accelerometers, typically used within a predictive maintenance concept for the vibrational monitoring of rotor blades.

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