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Reliability Evaluation for Mechatronic Equipment Truncation Life Data Based on the Weibull Distribution Model

机译:基于Weibull分布模型的机电调谐设备截断寿命数据的可靠性评估

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Based on a small commercial aircraft mechatronic equipment field data which were collected, we made use of three-parameter Weibull distribution model to analyze the fault data, and theoretically studied the random censoring data preprocessing method, correlation coefficient optimization method, and the least square method combined with parameter estimation method in detail, and circularly solved the example in MATLAB by programming. We used the K-S test method and Monte Carlo simulation to test the result of reliability evaluation. The results show that this paper has put forward the model that properly fits the mechatronic equipment field data, and the calculation process is rigorous with strong operability. This model can be used to accurately obtain the mechatronic equipment reliability distribution, failure rate distribution, and to provide a scientific basis for improvement of equipment and its repair method.
机译:基于收集的小型商用飞机机电机电设备现场数据,我们采用了三参数威布尔分布模型来分析故障数据,从理论上研究了随机审查数据预处理方法,相关系数优化方法,以及最小二乘法结合参数估计方法详细,通过编程循环解决了MATLAB中的示例。我们使用K-S测试方法和Monte Carlo仿真来测试可靠性评估的结果。结果表明,本文提出了适当适合机电设备现场数据的模型,并且计算过程具有强大的可操作性。该模型可用于精确地获得机电调谐设备可靠性分布,故障率分布,并为改进设备和修复方法提供科学依据。

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