The Method of Quantitative Trend Diagnosis of Rolling Bearing Fault Based on Protrugram and Lempel–Ziv

Abstract EN

This paper proposes a new method to realize the quantitative trend diagnosis of bearings based on Protrugram and Lempel–Ziv.

Firstly, the fault features of original fault signals of bearing inner and outer race with different severity are extracted using Protrugram algorithm, and the optimal analysis frequency band is selected which reflects the fault characteristic.

Then, the Lempel–Ziv complexity of the frequency band is calculated.

Finally, the relationship between Lempel–Ziv complexity and fault size is obtained.

Analysis results show that the severity of fault is proportional to the Lempel–Ziv complexity index value under different fault types.

The Lempel–Ziv complexity showed different trend rules, respectively, in the inner and outer race, which realized the quantitative trend diagnosis of bearing faults.