کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7123937 1461500 2016 28 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
System identification of smart buildings under ambient excitations
ترجمه فارسی عنوان
سیستم شناسایی ساختمان های هوشمند تحت تحریکات محیطی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
This paper proposes a nonlinear autoregressive moving average (NARMA) model for use in system identification (SI) of high performance smart buildings under ambient excitations. The NARMA model is implemented by including the cross terms of output signals to a linear autoregressive moving average (LARMA) time series model. To demonstrate the effectiveness of the proposed NARMA approach, a three-story building equipped with smart control devices is investigated under a variety of ambient excitations. To access the robustness of the proposed model, it is tested under various levels of measurement noises. It is demonstrated from the extensive simulations that the proposed NARMA model is effective in predicting the ambient vibration responses of the high performance smart buildings with severe measurement noises.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 87, June 2016, Pages 294-302
نویسندگان
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