Philipp Häderle

2024

1. Merkle, Lukas; Binanzer, Lisa; Häderle, Philipp; Dazer, Martin: Sensor concepts for gear damage detection in wind power drives. In: Journal of Physics: Conference Series EERA DeepWind Conference 2024 2875(1), S. 12022, 17.-19.01.2024, Trondheim (NOR), 2024 — (peer-review)
   • Zusammenfassung
   • DOI

   Zusammenfassung

   Gearbox failure in offshore wind turbines can be caused by fatigue damages like tooth fank fracture (TFF) or pitting damage. For damage detection in current applications, simple threshold values for vibration amplitudes are used to initiate a shutdown of the wind turbine. At this time significant damage to the gear is already present and an external maintenance is inevitable. The objective of this experimental study is to determine a better sensor concept for detection of gear damage in wind power drives during operation. The damage needs to be detected at a very early stage before the health condition of the gears becomes critical. Evaluation criteria for comparison of sensor concepts include the earliest possible detection of damage, robust and reliable detection under varying operating conditions, as well as practicality and cost-effectiveness. The test results show, vibration measurement in radial direction and in high frequency ranges is most suitable and most robust for pitting detection during operation. With the best sensor concept in place, it is possible to detect gear damage like pitting at a very early stage of 0.3 % pitting size.

   DOI

   https://dx.doi.org/10.1088/1742-6596/2875/1/012022
2. Häderle, Philipp; Merkle, Lukas; Dazer, Martin: Vibration analysis for early pitting detection during operation. In: Forschung im Ingenieurwesen 88(15), 2024 — (peer-review)
   • Zusammenfassung
   • DOI

   Zusammenfassung

   The economic efficiency of machinery operation is significantly impacted by maintenance strategies. In the realm of condition-based or predictive maintenance strategies, the early detection of fatigue-induced damages is crucial. Therefore, this study focuses on the early detection of pitting damages during operation. Experimental investigations are conducted on a test gearbox acquiring acceleration data for different sizes of pitting damages under diverse operating conditions. A successful detection of the pitting damages during operation is achieved at a very early stage of progression, with a minimum size of 0.41% of an active tooth flank area. The utilization of design of experiments techniques facilitates the identification of factors influencing the detectability of pitting damages. The obtained results are analysed to elucidate the physical basis for the reliable detection of pitting damages across diverse operating conditions.

   DOI

   https://doi.org/10.1007/s10010-024-00743-5