Application of time-frequency entropy method based on Hilbert-Huang transform to gear fault diagnosis

作者：Yu, Dejie; Yang, Yu^*; Cheng, Junsheng

来源：Measurement, 2007, 40(9-10): 823-830.

DOI：10.1016/j.measurement.2007.03.004

• vibration measurement
• time frequency entropy
• Hilbert-Huang transform
• gear
• fault diagnosis

When faults occur in the gear, energy distribution of gear vibration signals measured in time-frequency plane would be different from the distribution under the normal state. Therefore, it is possible to detect a fault by comparing the energy distribution of gear vibration signals with and without fault conditions. Hilbert-Huang transform can offer a complete and accurate energy-frequency-time distribution. On the other hand, Shannon entropy could give a useful criterion for analyzing and comparing probability distribution and offer a measure of the information of any distribution. Targeting the feature of energy distribution of gear vibration signal, the merit of entropy and Hilbert-Huang transform, the concept of time-frequency entropy based on Hilbert-Huang transform is defined and furthermore gear fault diagnosis method based on time-frequency entropy is proposed. The analysis results from simulated signals and experimental signals with normal and defective gears show that the diagnosis approach proposed could identify gear status-with or without fault accurately and effectively. However, further study is needed to the classify gear fault pattern such as crack fault or broken teeth.

• 出版日期2007-12
• 单位湖南大学