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2025-03-24 06:08本頁面
【正文】 orm for mechanical fault diagnosis has been developed over the past decade . When detecting signal transients, the orthogonal wavelet transform and the continuous wavelet transform are usually adopted. The orthogonal wavelet transform and multi resolution analysis depose the signal into orthogonal wavelet space. The continuous wavelet transform can provide a finer scale resolution than orthogonal wavelet transform. It is more suitable for extracting mechanical fault information. Matching pursuit, a greedy algorithm that chooses at each iteration a waveform that is best adapted to approximate part of the signal, is effective in analyzing transient signals。 however, the excessive putational cost limits its engineering applications. Correlation filtering, enlightened from matching pursuit, was introduced based on Laplace wavelet and applied to identify the parameters of transient by calculating the maximal correlation value, including the modal parameters identification of a flutter for aerodynamic and structural testing , the natural frequency identification of a hydro generator shaft and the wear fault diagnosis of the intake valve of an internal bustion engine , detection the position and the depth for rotor crack .Correlation filtering, enlightened from matching pursuit, was introduced based on Laplace wavelet and applied to identify the parameters of transient by calculating the maximal correlation value, including the modal parameters identification of a flutter for aerodynamic and structural testing , the natural frequency identification of a hydro generator shaft and the wear fault 4 diagnosis of the intake valve of an internal bustion engine , detection the position and the depth for rotor crack . Laplace wavelet correlation filtering (LWCF), which in essence used only Laplace wavelet as the transient model and identified the parameters by correlation filtering, is effective in detecting single transient. However, localized faults in rotating ponents tend to result in periodic multiple transients, which may not be similar with Laplace wavelet, LWCF is thus not suitable for all transient models in any localized fault occasions. In this paper, considering periodic multiple transients, we propose a new technique, as an extension of LWCF but not limited to Laplace wavelet, incorporating transien
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