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Interval Sliding Mode Observer Based Incipient Fault Detection with Application to a High-Speed Railway Traction Device

机译:基于间隔滑动模式观察者的初始故障检测应用于高速铁路牵引装置

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In this paper, a novel interval sliding mode observer is designed to detect incipient faults for a class of non-Lipschitz nonlinear systems with mismatched uncertainties. The interval estimation concept is introduced to design interval estimator for the nonlinear subsystem with uncertainties bounded by known intervals. Then novel injection functions are designed to ensure that the sliding motion takes place and maintains thereafter. At last, new residual generators and adaptive threshold generators are designed, and the corresponding fault detectability is studied. Case study on a traction device in CRH (China Railway High-Speed) is presented to demonstrate the effectiveness of proposed incipient fault detection scheme.
机译:在本文中,设计了一种新的间隔滑动模式观察者,用于检测一类具有不匹配的不确定性的非Lipschitz非线性系统的初始故障。将间隔估计概念引入到非线性子系统的间隔估计器,其不确定性由已知间隔界定的不确定性。然后,设计新的喷射功能以确保滑动运动发生并之后保持。最后,设计了新的剩余发电机和自适应阈值发生器,研究了相应的故障可检测性。提出了CRH(中国铁路高速)牵引装置的案例研究,以证明提出初期故障检测方案的有效性。

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