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Parameter estimation and failure detection of hydraulic system

机译:液压系统参数估算与故障检测

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摘要

This paper concerns estimation of system parameters in a hydraulic system and figuring out the variety of the failures. The system is assumed to be disturbed and its parameters are estimated using the Extended Kalman Filter (EKF). The hydraulic system consists of a pump, a pressure regulator, pipes and an accumulator and is modeled with nonlinear differential equations. The parameters of the model are extended to the state variables and then are estimated with EKF. Since the parameters have a correlation with the failures, the variety of failures can be figured out by observing the parameters. The proposed methodology showed its effetiveness through an experiment of internal leakage in the pump and the pipe. The leakage magnitude could be expected from the magnitude change of the estimated parameters.
机译:本文涉及液压系统中系统参数的估计,并找出故障的种类。假设系统受到干扰,并使用扩展卡尔曼滤波 (EKF) 估计其参数。液压系统由泵、压力调节器、管道和蓄能器组成,并使用非线性微分方程建模。模型的参数被扩展到状态变量,然后使用 EKF 进行估计。由于参数与故障相关,因此可以通过观察参数来计算故障的种类。所提出的方法通过泵和管道内部泄漏的实验证明了其有效性。泄漏幅度可以从估计参数的幅度变化中预测出来。

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