Research on Model-Based diagnosis of Dynamic Systems

基于模型的动态系统诊断研究

• 批准号: 63460144
• 负责人: KUMAMARU Kousuke
• 金额: $ 3.9万
• 依托单位: Kyushu Institute of Technology (1989-1990)Kyushu University (1988)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1988
• 资助国家: 日本
• 起止时间: 1988 至 1990
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-63460144/
• 关键词: Failure Diagnosis; Modelling; Parameter Estimation; Fuzzy Inference; Continuous-time System; System Identification; Kullback Discrimination Information; Generalized Likelihood Ratio (GLR) Test; 連続システム; 火力発電プラント; 仮説検定; 状態推定; モデルベース診断; ダイナミックシス

In this research project, developments of model-based failure diagnosis methods and their application studies have been carried out for the following 4-types of dynamic systems,(1) Lumped parameter Linear Systems Described by State-Space Model(2) Processes with Black-Box Type Representation(3) Large-Scale Systems like an Electric Power Plant(4) Distributed Parameter Systems.Research results of the project obtained for each system are summarized as follows :(1) A hierarchical diagnosis system which can be performed on line has been developed by using parallel Kalman filter and generalized likelihood ratio (GLR) test. Furthermore, several methods for directly estimating physical parameters of continuous time linear systems have been proposed by a combinational use of the numerical integration or infinite impulse digital filter approach and the recursive identification algorithms. The applicability of the estimator to failure diagnosis problem has also been confirmed through the simulatio … More n.(2) First, in order to investigate the convergence and the numerical instability in many kinds of existing recursive identification algorithms, which are used for failure diagnosis, a soft-ware package of CAD system has been manufactured on the personal computer. Next, for adaptively controlled systems, a method of on-line diagnosis method has been proposed by using Kullback discrimination information as the detection index. Furthermore a diagnosis method using fuzzy inference to decide whether the detected system parameter changes are due to a failure or not tas also been developed. In particular, the method can be considered as a new one, so called "Knowledge Aided Model-Based Diagnosis", which effectively incorporates available knowledge about the system operating behavior and the failure modes into the model-based diagnosis.(3) Two diagnosis methods of controlled deaerator system in the thermal power plant has been developed. The one is a method using a linearized perturbation model and GLR test, and the other is a simulator-based method with small parameter adjusting scheme, and their effectiveness has been confirmed for the model of a practical thermal power plant.(4) Several methods for estimation and identification of state variables, system parameters and unknown boundary conditions have been proposed for parabolic and/or hyperbolic type of distributed parameter systems. On the other hand their applicability to diagnosis problems are on being investigated. Less

本课题主要针对以下4类动态系统(1)状态空间模型描述的集总参数线性系统(2)黑箱表示过程（3)大型电厂系统(4)分布式参数系统）开展了基于模型的故障诊断方法及其应用研究。各系统项目研究成果总结如下：(1)采用并行卡尔曼滤波和广义似然比（GLR）检验，开发了一种可在线执行的分层诊断系统。此外，还提出了几种直接估计连续时间线性系统物理参数的方法，这些方法是将数值积分或无限脉冲数字滤波方法与递归辨识算法相结合使用的。(2)首先，为了研究现有的几种用于故障诊断的递归识别算法的收敛性和数值不稳定性，在个人计算机上制作了CAD系统的软件包。其次，针对自适应控制系统，提出了一种以Kullback判别信息作为检测指标的在线诊断方法。此外，还提出了一种利用模糊推理判断被测系统参数变化是否为故障的诊断方法。该方法有效地将系统运行行为和故障模式的现有知识融入到基于模型的诊断中，是一种新的诊断方法，称为“知识辅助模型诊断”。(3)提出了火电厂可控除氧器系统的两种诊断方法。一种是基于线性化扰动模型和GLR试验的方法，另一种是基于模拟器的小参数调整方案的方法，并通过实际火电厂模型验证了它们的有效性。(4)针对抛物型和/或双曲型分布参数系统，提出了几种状态变量、系统参数和未知边界条件的估计和辨识方法。另一方面，它们对诊断问题的适用性正在研究中。少

项目成果

K.Kumamaru: Proc.of the 1988 Kovean Automatic Control Conference. 1055-1058 (1988)

K.Kumamaru：1988 年 Kovean 自动控制会议的记录。

S.Sagara: Proc.of 8th IFAC/IFORS Sympo on Identification and System Parameter Estimation. 595-600 (1988)

S.Sagara：第八届 IFAC/IFORS 辨识和系统参数估计研讨会论文集。

相良 節夫: "数値積分演算による連続系のオンライン同定" 電気学会論文誌C. 108. 603-610 (1988)

Setsuo Sagara：“使用数值积分计算在线识别连续系统”Transactions of the Institute of Electrical Engineers of Japan C. 108. 603-610 (1988)

相良 節夫: "IIRディジタルフィルタによる連続系パラメ-タの一致推定" 計測自動制御学会論文集. 26. 39-45 (1990)

Setsuo Sagara：“使用 IIR 数字滤波器对连续系统参数进行一致估计”仪器与控制工程师协会会议记录 26. 39-45 (1990)。

K.Kumamaru: "A Method of Failure Diagnosis for ContinuousーTime Nonlinear Systems with TimeーVarying Parameters" 22th ISCIE Symposium on Stochastic Systems Theory and Its Applications. 23-28 (1990)

K.Kumamaru：“具有时变参数的连续时间非线性系统的故障诊断方法”第 22 届 ISCIE 随机系统理论及其应用研讨会 23-28 (1990)。