کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4976697 | 1451833 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics
ترجمه فارسی عنوان
بهینه سازی چند هدفه مبتنی بر تکامل تک متغیر برای تعریف شاخص سلامت برای تشخیص و پیشگیری از خطا
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کلمات کلیدی
پیشگیری، تشخیص گسل، شاخص سلامت، تکامل دیفرانسیل دیفرانسیل، رگرسیون هسته ی انجمنی، موتور توربوفن
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
The identification of the current degradation state of an industrial component and the prediction of its future evolution is a fundamental step for the development of condition-based and predictive maintenance approaches. The objective of the present work is to propose a general method for extracting a health indicator to measure the amount of component degradation from a set of signals measured during operation. The proposed method is based on the combined use of feature extraction techniques, such as Empirical Mode Decomposition and Auto-Associative Kernel Regression, and a multi-objective Binary Differential Evolution (BDE) algorithm for selecting the subset of features optimal for the definition of the health indicator. The objectives of the optimization are desired characteristics of the health indicator, such as monotonicity, trendability and prognosability. A case study is considered, concerning the prediction of the remaining useful life of turbofan engines. The obtained results confirm that the method is capable of extracting health indicators suitable for accurate prognostics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 102, 1 March 2018, Pages 382-400
Journal: Mechanical Systems and Signal Processing - Volume 102, 1 March 2018, Pages 382-400
نویسندگان
P. Baraldi, G. Bonfanti, E. Zio,