Downloads provided by UsageCounts
doi: 10.1784/cm.2019.113
handle: 2117/175771 , 2117/168840
The value of wind power generation for energy sustainability in the future is undeniable. Since operation and maintenance activities account for a sizeable portion of the cost associated with offshore wind turbine operation, strategies are needed to decrease this cost. One strategy, condition monitoring (CM) of wind turbines, allows the useful life of several parts to be extended and has generated great interest in the industry. Pitch bearings are one type of critical component, by virtue of the time and logistics involved in their maintenance tasks. As the complex working conditions of pitch bearings entail the need for diverse and innovative monitoring techniques, the classical bearing analysis techniques are not suitable. This paper provides a literature review of several condition monitoring techniques. First, they are arranged according to the nature of the signal, such as vibration, acoustic emission and so on. Secondly, they are arranged by relevant authors in compliance with the signal nature. While little research has been performed, an outline is significant for further contributions to the literature.
Peer Reviewed
Anàlisi numèrica, Àrees temàtiques de la UPC::Matemàtiques i estadística, Energia eòlica, :Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics [Àrees temàtiques de la UPC], :Matemàtiques i estadística [Àrees temàtiques de la UPC], simulation and stochastic differential equations, Numerical analysis--Simulation methods, Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations, :65 Numerical analysis::65Y Computer aspects of numerical algorithms [Classificació AMS], Classificació AMS::65 Numerical analysis::65C Probabilistic methods, Wind power, :65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations [Classificació AMS], Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics, Classificació AMS::65 Numerical analysis::65Y Computer aspects of numerical algorithms
Anàlisi numèrica, Àrees temàtiques de la UPC::Matemàtiques i estadística, Energia eòlica, :Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics [Àrees temàtiques de la UPC], :Matemàtiques i estadística [Àrees temàtiques de la UPC], simulation and stochastic differential equations, Numerical analysis--Simulation methods, Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations, :65 Numerical analysis::65Y Computer aspects of numerical algorithms [Classificació AMS], Classificació AMS::65 Numerical analysis::65C Probabilistic methods, Wind power, :65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations [Classificació AMS], Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics, Classificació AMS::65 Numerical analysis::65Y Computer aspects of numerical algorithms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 66 | |
| downloads | 138 |

Views provided by UsageCounts
Downloads provided by UsageCounts