CAJ | 학술논문

故障检测在控制工程领域具有广泛的应用,而鲁棒性是衡量系统在故障检测时的不确定性的重要指标.为了提高鲁棒系统故障检测的能力,基于贝叶斯的基本原理对系统的故障和不确定性进行研究,提出一种基于贝叶斯方法的高鲁棒性故障检测方法.首先,对非线性系统的故障检测问题进行定义,分析参数空间的不确定性问题.其次,基于贝叶斯基本原理对参数空间的推导进行分析.最后,通过分析系统正常运行的参数空间与发生故障时的参数空间之间的成员关系来进行故障检测.实验表明,在四罐耦合系统中,提出的基于贝叶斯方法的故障检测技术在系统模型参数具有不确定性的条件下可以很好地进行故障识别.
고장검측재공제공정영역구유엄범적응용,이로봉성시형량계통재고장검측시적불학정성적중요지표.위료제고로봉계통고장검측적능력,기우패협사적기본원리대계통적고장화불학정성진행연구,제출일충기우패협사방법적고로봉성고장검측방법.수선,대비선성계통적고장검측문제진행정의,분석삼수공간적불학정성문제.기차,기우패협사기본원리대삼수공간적추도진행분석.최후,통과분석계통정상운행적삼수공간여발생고장시적삼수공간지간적성원관계래진행고장검측.실험표명,재사관우합계통중,제출적기우패협사방법적고장검측기술재계통모형삼수구유불학정성적조건하가이흔호지진행고장식별.
Fault detection was applied extendly in control engineering field,and robustness is an important measure of uncertain for a system while detecting faults. In order to improve the performance of fault detection in robust systems,we studied the problem system's fault and uncertain based on Bayesian principle, and proposed a Bayesian based robust fault detection method. Firstly,we defined the problem of fault detection for nonlinear systems,and analyzed their uncertainty of parameter space. Secondly,we analyzed how to infer the parameter space based on Bayesian principle. Finally,while detecting faults of a system,we analyzed the set membership between normal parameter space and faulty parameter space. The experiments showed that,in a quadruple-tank process,the proposed method could detect faults efficiently in a system with uncertain model parameters.