Study of Microwave Dielectric Resonator Oscillator Frequency Degradation Model for Intelligent Maintenance Systems

Jinyong Yao, Haibo Su, Xiaogang Li
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Abstract

This paper presents a modeling method to model and assess the Dielectric Resonator Oscillator (DRO) performance degradation to supply a basis for the fault diagnoses, health state estimates and life prediction of the DRO in the Intelligent Maintenance Systems (IMS). In our research, the model combines internal state transition model with the Brownian motion stochastic process to show the degradation mechanism and random factors respectively. The degradation models parameters were recognized by the degradation data coming from the Accelerated Degradation Test. The result indicates that the model significantly describes the DRO practical degradation process with an impressively small sum of squared residuals. We also resolved the curvilinear boundary crossing issue of Brownian motion with optimal linear approximation methods and presented an approximate life distribution.
智能维修系统微波介质谐振振荡器频率退化模型研究
提出了一种对介质谐振振荡器(DRO)性能退化进行建模和评估的方法,为智能维护系统(IMS)中介质谐振振荡器的故障诊断、健康状态估计和寿命预测提供依据。在我们的研究中,该模型将内部状态转移模型与布朗运动随机过程相结合,分别展示了退化机理和随机因素。利用加速退化试验的退化数据对退化模型参数进行识别。结果表明,该模型以非常小的残差平方和很好地描述了DRO的实际退化过程。用最优线性逼近方法解决了布朗运动的曲线边界交叉问题,给出了近似的寿命分布。
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