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Advanced fault diagnosis by means of complex order derivatives

机译:通过复杂的订单衍生品进行高级故障诊断

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摘要

There is a wide range of signal processing methods in the field of machine condition monitoring, which are used in feature extraction and fault diagnosis. Derivation and integration are very common and important operations in vibration signal processing. Often a signal that has been measured using an accelerometer is integrated to obtain velocity or displacement signal. These commonly used three signals and an infinite number of other signals can be obtained by means of fractional order derivation. Especially in challenging fault and process cases, signals whose order of derivation is a real or complex number could be clearly more sensitive to fault detection than the commonly used signals. This paper discusses the application of complex order derivation to acceleration signals in order to detect various faults at an early stage.
机译:机器状况监测领域有多种信号处理方法,用于特征提取和故障诊断。衍生和集成在振动信号处理中是非常常见和重要的操作。通常使用加速度计测量的信号进行集成以获得速度或位移信号。这些常用的三个信号和无限数量的其他信号可以通过分数阶衍生来获得。特别是在具有挑战性的故障和过程的情况下,派生顺序是真实或复数的信号可能比常用信号显然对故障检测更敏感。本文讨论了复杂订单推导到加速信号的应用,以便在早期阶段检测各种故障。

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