Decentralized Particle Filtering Based Fault Diagnosis for Nonlinear Distributed and Interconnected Systems
محل انتشار: بیست و یکمین کنفرانس مهندسی برق ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 993
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شناسه ملی سند علمی:
ICEE21_781
تاریخ نمایه سازی: 27 مرداد 1392
چکیده مقاله:
The problem of decentralized fault diagnosis for nonlinear, non-Gaussian systems composed of spatially distributed and physically interconnectedsubsystems, is considered. Normal and faulty behavioursare modelled as two hypotheses with two different models. Accordingly, the general system is modeled as ahybrid system with two faulty and healhty modes. Then, it is decomposed into hybrid interconnected subsystems.Particle filtering approach is employed for nonlinear state estimation as well as non-Gaussian probability distribution estimation. Faulty or health modes areestimated using Maximum A Poserior Estimators (MAP). The effectiveness of the proposed distributed algorithm is demonstrated through applying to a quadruple tank process.
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نویسندگان
Nargess Sadeghzadeh Nokhodberiz
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran