Gearbox Fault Diagnosis Based on Gramian Angular Field and CSKD-ResNeXt

Vehicle Gearbox Fault Diagnosis Based On Cepstrum Analysis

Research on damage of gears and gear pairs using vibration signals remains very attractive, because vibration signals from a gear pair are complex in nature and not easy to interpret. Predicting gear pair defects by analyzing changes in vibration signal of gears pairs in operation is a very reliable method. Therefore, a suitable vibration signal processing technique is necessary to extract defe...

Gearbox Fault Diagnosis based on Vibration Signals Measured Remotely

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Machine building Gearbox Fault Diagnosis Based on EEMD-SVD

Gearbox is an important mechanical device to transmit power. In order to ensure the normal operation of gearbox under the condition of top load, high efficiency and high precision, it’s necessary to extract fault feature information using signal processing method and to further analyze and research gearbox fault. In the paper an improved de-noising method based on de-noising of singular value d...

EEMD and THT Based Gearbox Fault Detection and Diagnosis

A novel approach to fault detection and diagnosis of gearbox based on Ensemble Empirical Mode Decomposition (EEMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. The time-domain vibration signal of the gearbox with gear crack fault is measured. EEMD can adaptively decompose the vibration signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM) Intrin...

Cepstrum Analysis and Gearbox Fault Diagnosis