Dynamic Reliability Analysis of Gear Transmission System of Wind Turbine in Consideration of Randomness of Loadings and Parameters
Author(s) -
Lei Wang,
Tao Shen,
Chen Chen,
Huitao Chen
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/261767
Subject(s) - randomness , turbine , reliability (semiconductor) , dynamic load testing , monte carlo method , transmission system , engineering , transmission (telecommunications) , bearing (navigation) , random vibration , structural engineering , control theory (sociology) , computer science , mathematics , vibration , statistics , acoustics , mechanical engineering , physics , power (physics) , electrical engineering , control (management) , quantum mechanics , artificial intelligence
A dynamic model of gear transmission system of wind turbine is built with consideration of randomness of loads and parameters. The dynamic response of the system is obtained using the theory of random sampling and the Runge-Kutta method. According to rain flow counting principle, the dynamic meshing forces are converted into a series of luffing fatigue load spectra. The amplitude and frequency of the equivalent stress are obtained using equivalent method of Geber quadratic curve. Moreover, the dynamic reliability model of components and system is built according to the theory of probability of cumulative fatigue damage. The system reliability with the random variation of parameters is calculated and the influence of random parameters on dynamic reliability of components is analyzed. In the end, the results of the proposed method are compared with that of Monte Carlo method. This paper can be instrumental in the design of wind turbine gear transmission system with more advantageous dynamic reliability
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