کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
709632 892078 2012 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Novel Approach to Fault Detection and Isolation of Linear Systems using Modified Marginalized Likelihood Ratio Test and Uniform Priors
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
A Novel Approach to Fault Detection and Isolation of Linear Systems using Modified Marginalized Likelihood Ratio Test and Uniform Priors
چکیده انگلیسی

In this study a new methodology is proposed which is capable of accurately estimating the time of occurrence of the fault using the outcome of statistical fault detection and confirmation tests. The newly proposed approach is based on the modified marginalized likelihood ratio (MMLR) test developed using the assumption of uniform priors for fault magnitude. The isolation task in the proposed framework is achieved by means of the generalized likelihood ratio (GLR) test and fault signature matrices computed for different hypothesized faults. The efficacy of the proposed scheme has been validated on the benchmark CSTR problem using Monte Carlo simulations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 45, Issue 20, January 2012, Pages 438–443
نویسندگان
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