دانلود مقاله ISI انگلیسی شماره 108147
ترجمه فارسی عنوان مقاله

روش جدید تخمین زده عمر مفید باقی مانده برای تجهیزات تحت مداخله در فعالیت های تعمیر ناقص

عنوان انگلیسی
A new remaining useful life estimation method for equipment subjected to intervention of imperfect maintenance activities
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
108147 2018 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Chinese Journal of Aeronautics, Volume 31, Issue 3, March 2018, Pages 514-528

پیش نمایش مقاله
پیش نمایش مقاله  روش جدید تخمین زده عمر مفید باقی مانده برای تجهیزات تحت مداخله در فعالیت های تعمیر ناقص

چکیده انگلیسی

As the key part of Prognostics and Health Management (PHM), Remaining Useful Life (RUL) estimation has been extensively investigated in recent years. Current RUL estimation studies considering the intervention of imperfect maintenance activities usually assumed that maintenance activities have a single influence on the degradation level or degradation rate, but not on both. Aimed at this problem, this paper proposes a new degradation modeling and RUL estimation method taking the influence of imperfect maintenance activities on both the degradation level and the degradation rate into account. Toward this end, a stochastic degradation model considering imperfect maintenance activities is firstly constructed based on the diffusion process. Then, the Probability Density Function (PDF) of the RUL is derived by the convolution operator under the concept of First Hitting Time (FHT). To implement the proposed RUL estimation method, the Maximum Likelihood Estimation (MLE) is utilized to estimate the degradation related parameters based on the Condition Monitoring (CM) data, while the Bayesian method is utilized to estimate the maintenance related parameters based on the maintenance data. Finally, a numerical example and a practical case study are provided to demonstrate the superiority of the proposed method. The experimental results show that the proposed method could greatly improve the RUL estimation accuracy for the degrading equipment subjected to imperfect maintenance activities.