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针对实际非线性系统传统方法难以实现可靠故障诊断的问题,采用粒子滤波算法,利用对数似然函数和作为评价指标,并借助自适应阈值的设计,研究了非线性非高斯系统的故障检测和故障隔离。阈值的选取,是准确判别系统是否发生故障的标准,本文通过分析非线性系统残差的统计特性,在判定残差统计特性成正态分布的基础上,设计了一种基于粒子滤波故障诊断的自适应阈值方法,减少了故障诊断的漏报和误报。通过非恒温连续搅拌水箱式反应堆的仿真实例,验证了该方法在故障诊断中的准确性和有效性。
Aiming at the problem that the traditional non-linear system is difficult to achieve reliable fault diagnosis, the particle filter algorithm, the log-likelihood function and the evaluation index are used to design the fault diagnosis of nonlinear non-Gaussian system Fault isolation. Based on the analysis of the statistical properties of the residuals of the nonlinear system and the determination of the statistic characteristics of the residuals as a normal distribution, a threshold based on the particle filter fault diagnosis is designed Adaptive thresholding method reduces the omission and false positives of fault diagnosis. Through the simulation example of non-constant temperature continuously stirred tank-type reactor, the accuracy and effectiveness of this method in fault diagnosis are verified.