کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4976987 1451842 2017 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust fault detection in bond graph framework using interval analysis and Fourier-Motzkin elimination technique
ترجمه فارسی عنوان
تشخیص خطای قوی در چارچوب نمودار پیوند با استفاده از تجزیه و تحلیل فاصله و روش حذف فوریه-موتزکین
کلمات کلیدی
تجزیه و تحلیل فاصله، تشخیص قوی سیستم های نامشخص مدل سازی باند گرافیکی، روابط عددی تحلیلی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
This paper addresses the fault diagnosis problem of uncertain systems in the context of Bond Graph modelling technique. The main objective is to enhance the fault detection step based on Interval valued Analytical Redundancy Relations (named I-ARR) in order to overcome the problems related to false alarms, missed alarms and robustness issues. These I-ARRs are a set of fault indicators that generate the interval bounds called thresholds. A fault is detected once the nominal residuals (point valued part of I-ARRs) exceed the thresholds. However, the existing fault detection method is limited to parametric faults and it presents various limitations with regards to estimation of measurement signal derivatives, to which I-ARRs are sensitive. The novelties and scientific interest of the proposed methodology are: (1) to improve the accuracy of the measurements derivatives estimation by using a dedicated sliding mode differentiator proposed in this work, (2) to suitably integrate the Fourier-Motzkin Elimination (FME) technique within the I-ARRs based diagnosis so that measurements faults can be detected successfully. The latter provides interval bounds over the derivatives which are included in the thresholds. The proposed methodology is studied under various scenarios (parametric and measurement faults) via simulations over a mechatronic torsion bar system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 93, 1 September 2017, Pages 494-514
نویسندگان
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