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Fault detection algorithm of inverter based on singular value decomposition nonlinear filtering

机译:基于奇异值分解非线性滤波的变频故障检测算法

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Power electronic devices, power semiconductor devices and control circuits most were vulnerable to failure. In this paper, took the inverter as example, discussed its fault type, and designed a new fault detection algorithm based on singular value decomposition (SVD) nonlinear filtering. Simulation result shown that this algorithm could detect fault conveniently, and using extended Kalman Filter (EKF) based on singular value decomposition (SVD), stability of filter could be evaluated, at the same time, calculated amount was not increase, and filter precision was not decrease. This algorithm could meet the need of fault detection.
机译:电力电子设备,功率半导体器件和控制电路最容易发生故障。 在本文中,用逆变器为例,讨论了其故障类型,并设计了一种基于奇异值分解(SVD)非线性滤波的新故障检测算法。 仿真结果表明,该算法可以方便地检测故障,并且使用基于奇异值分解(SVD)的扩展卡尔曼滤波器(EKF),可以评估滤波器的稳定性,同时,计算量不增加,并且滤波精度是 没有减少。 该算法可以满足故障检测的需要。

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