Transactions of FAMENA, Vol. 46 No. 4, 2022.
Izvorni znanstveni članak
https://doi.org/10.21278/TOF.464036521
Fault Feature Extraction of Bearings for the Petrochemical Industry and Diagnosis Based on High-Value Dimensionless Features
Nai-quan Su
orcid.org/0000-0002-4220-0540
; Guangdong Provincial Key Lab of Petrochemical Equipment and Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, China; High-Tech Institute of Xi’an, Xi’an, China
Zhi-Jie Zhou
; High-Tech Institute of Xi’an, Xi’an, China
Qing-hua Zhang
; Guangdong Provincial Key Lab of Petrochemical Equipment and Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, China
Shao-lin Hu
; Guangdong Provincial Key Lab of Petrochemical Equipment and Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, China
Xiao-xiao Chang
; Guangdong Provincial Key Lab of Petrochemical Equipment and Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, China
Sažetak
The time and frequency domain features of a petrochemical unit have a variety of effects on the fault type of bearings, and the signal exhibits nonlinearity, unpredictability, and ergodicity. The detection system's important data are disrupted by noise, resulting in a huge number of invalid and partial records. To reduce the influence of these factors on feature extraction, this work presents a method for the fault feature extraction of bearings for the petrochemical industry and for diagnosis based on high-value dimensionless features. Effective data are extracted from the obtained data using a complex data preprocessing approach, and the dimensionless index is expressed. Then, based on the distribution rule of the dimensionless index, the high-value dimensionless features are retrieved. Finally, to ensure sample completeness, a high-value dimensionless feature augmented model is developed. This approach is applied to the bearing fault experiment platform of a petrochemical unit to effectively classify the bearing fault features, which benefits theoretical guidance for the feature extraction of bearings for a petrochemical unit.
Ključne riječi
petrochemical unit; bearing; high-value dimensionless; feature extraction
Hrčak ID:
285678
URI
Datum izdavanja:
10.12.2022.
Posjeta: 941 *