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Life Distribution Transformation Model of Planetary Gear System 被引量:2
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作者 Ming Li Li-Yang Xie +1 位作者 Hai-Yang Li Jun-Gang Ren 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2018年第2期208-215,共8页
Planetary gear systems have been widely used in transportation, construction, metallurgy, petroleum, aviation and other industrial fields. Under the same condition of power transmission, they have a more compact struc... Planetary gear systems have been widely used in transportation, construction, metallurgy, petroleum, aviation and other industrial fields. Under the same condition of power transmission, they have a more compact structure than ordinary gear train. However, some critical parts, such as sun gear, planet gear and ring gear often suffer from fatigue and wear under the conditions of high speed and heavy load. For reliability research, in order to predict the fatigue probability life of planetary gear system, detailed kinematic and mechanical analysis for a planetary gear system is firstly completed. Meanwhile, a gear bending fatigue test is carried out at a stress level to obtain the strength information of specific gears. Then, a life distribution transformation model is established according to the order statistics theory. Transformation process is that, the life distribution of test gear is transformed to that of single tooth, and then the life distribution of single tooth can be effectively transformed to that of the planetary gear system. In addition, the effectiveness of the transformation model is finally verified by a processing method with random censoring data. 展开更多
关键词 Planetary gear system Reliability modeling Probabilistic life random censoring data
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Asymptotic Normality of Wavelet Density Estimator under Censored Dependent Observations
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作者 Si-li NIU 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2012年第4期781-794,共14页
In this paper, we discuss the asymptotic normality of the wavelet estimator of the density function based on censored data, when the survival and the censoring times form a stationary α-mixing sequence. To simulate t... In this paper, we discuss the asymptotic normality of the wavelet estimator of the density function based on censored data, when the survival and the censoring times form a stationary α-mixing sequence. To simulate the distribution of estimator such that it is easy to perform statistical inference for the density function, a random weighted estimator of the density function is also constructed and investigated. Finite sample behavior of the estimator is investigated via simulations too. 展开更多
关键词 Wavelet density estimator asymptotic normality censored data α-mixing random weightedestimator
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