کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5019309 | 1468205 | 2017 | 29 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A health performance prediction method of large-scale stochastic linear hybrid systems with small failure probability
ترجمه فارسی عنوان
یک روش پیش بینی عملکرد سلامت سیستم های ترکیبی خطی تصادفی با احتمال کم احتمال شکست
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کلمات کلیدی
عملکرد بهداشتی، سیستم های ترکیبی خطی تصادفی مقیاس بزرگ، احتمال شکست کوچک، چند قطره ای
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
چکیده انگلیسی
Health performance prediction of a dynamical system aims at determining the probability or possibility that the system state will remain in a permitted area (safe set) or reach a forbidden area (unsafe set) at a future time instance. This paper proposes a health performance prediction algorithm for large-scale Stochastic Linear Hybrid Systems (SLHS) with small failure probability. In the studied SLHS, the continuous variable evolution is described by a set of stochastic linear differential equations, and the discrete state evolution is modeled by a first-order Markov chain. Furthermore, a safe set of the SLHS is described by a permitted area in the hybrid state space. Given an initial condition, a hybrid state evolution algorithm is proposed referring to the execution of stochastic hybrid systems. On this basis, a concept of health degree is introduced to evaluate the health performance of the studied SLHS. Finally, a multicopter with sensor anomalies is studied to validate the availability and effectiveness of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 165, September 2017, Pages 74-88
Journal: Reliability Engineering & System Safety - Volume 165, September 2017, Pages 74-88
نویسندگان
Zhiyao Zhao, Quan Quan, Kai-Yuan Cai,