Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
By Tianyang Wang, Q. Han, F. Chu, Zhipeng Feng. Mechanical systems and signal processing, 2019
485 citations recorded by the source corpus.
Abstract As one of the most immensely growing renewable energies, the wind power industry also experiences a high failure rate and operation & maintenance cost. Therefore, the condition monitoring and fault diagnosis of a wind turbine (WT) generator set are highly needed. Among different components of a WT generator set, WT planetary gearbox plays a crucial role in transmission and leads to relatively higher failure rate and longer downtime. Towards this, a number of studies have been reported in both the academic journals and conference proceedings. This paper provides a systemic and pertinent state-of-art review on WT planetary gearbox condition monitoring techniques on the topics of fundamental analysis, signal processing, feature extraction, and fault detection. Moreover, a few valuable open issues are pointed out and potential research directions are suggested.
Subfields: Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/e6619f639ef6dc7dddc3b1ccce4550bb4c3e0484
Citations in the corpus
- Mel Frequency Cepstral Coefficient and its Applications: A Review (2022, unknown): “with vibration [159] or acoustic signal [160].”