以往基于威布尔故障分布曲线对风电机组齿轮箱故障率的研究主要考虑时间因素,在此基础上,该文进一步考虑齿轮箱实际运行状态,结合威布尔故障分布模型中的浴盆曲线,构建同时考虑时间（t）和运行状态（s）的齿轮箱故障率模型,并计算其在4种不同运行状况（整体故障率升高、整体寿命缩短故障时间提前、故障期故障速率加快、故障期寿命缩短）的组合下模型的可靠性函数、故障累计分布函数、故障概率密度函数和特定时间下特定数量设备发生故障的概率。
Abstract
Previous research on the failure rate of wind power gearbox was based on the Weibull fault distribution curve mainly consider the time factor. This paper tries to considers the actual operational status of the gearbox into the reliability model, i.e. construct a gearbox failure rate model by considering operation time （t） and status （s） together, integrated with the bathtub curve of the Weibull distribution. The reliability function, failure cumulative distribution function, failure probability density function and failure probability of a specific number of equipment at a specific time of the model are calculated under the combination of four different operating status： increase of overall failure rate, shortening of overall life, advance of failure time, acceleration of failure rate in failure period and shortening of life in failure period. The results of this paper will provide a valuable tool for wind farm gearbox inventory management and maintenance cost planning.
关键词
风电机组 /
齿轮箱 /
状态监测 /
故障检测 /
计算模拟 /
运行状态
Key words
wind turbines /
gear box /
condition monitoring /
fault detection /
computer simulation /
operation status
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基金
国家自然科学基金（51577051; 71001050）; 南京大学新时代文科卓越研究计划中长期研究专项
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