کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5019449 1468206 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Remaining useful life prediction of aircraft engine based on degradation pattern learning
ترجمه فارسی عنوان
باقی ماندن پیش بینی عمر مفید موتور هواپیمایی براساس یادگیری الگوی تخریب
کلمات کلیدی
پیشگیری و مدیریت سلامت، پیش بینی عمر مفید باقیمانده، یادگیری الگوی تخریب، شبکه عصبی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
Prognostics, which usually means the prediction of the field reliability or the Remaining Useful Life (RUL), is the basis of Prognostic and Health Management (PHM). Research in this paper focuses on remaining useful life prediction of aircraft engine in the same gradual degradation mode. As the gradual degradation with same failure mechanism has some regularity in macro, there would be certain relation between an arbitrary point of the degradation process and the correspondent RUL. This paper tries to learn this certain relation via neural network and the learned network, which reflects the relation, can be partly perceived as degradation pattern. The main prognostic idea of degradation pattern learning is firstly proposed and illustrated. And then an improved back propagation neural network is designed and analyzed as the implementation technique, in whose loss function an adjacent difference item is added. Next details of implementation via adjacent difference neural network are elaborated. Finally, the proposed approach is validated by two experiments respectively using different aircraft engine degradation datasets. Results of the experiments show a relatively good prediction accuracy, which verifies the correctness, effectiveness and practicability of the idea.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 164, August 2017, Pages 74-83
نویسندگان
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