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Bi-objective optimization in a wavelet identification procedure for fault detection in dynamic systems

机译:动态系统故障检测的小波识别过程中的双目标优化

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This paper presents a wavelet-based fault detection approach where wavelet parameters are optimized in order to minimize the residue in nominal operating conditions and maximize it in faulty operating conditions. For this purpose a bi-objective optimization procedure is used. By taking into account the effects of the fault in the proposed optimization procedure, the sensitivity of the detector is improved and the detection delay is reduced. For illustration, a simulated example involving the detection of a sensor fault in a 747 aircraft is presented.
机译:本文提出了一种基于小波的故障检测方法,其中对小波参数进行了优化,以便在标称运行条件下将残留物最小化,并在故障运行条件下将其最大化。为此目的,使用了双目标优化过程。通过在建议的优化过程中考虑故障的影响,可以提高检测器的灵敏度并减少检测延迟。为了说明,给出了一个涉及检测747飞机中传感器故障的模拟示例。

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