| Autor: |
Nguyen Trong Du, Pham Thanh Trung, Nguyen Huu Cuong, Nguyen Phong Dien |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Mechanical Engineering, Vol 10 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2297-3079 |
| DOI: |
10.3389/fmech.2024.1341466 |
| Popis: |
Rolling bearings always operate under variable speed conditions, which poses a challenge for researchers in identifying and classifying bearing faults. In contrast to the stationary speed condition, the Fault Characteristic Frequency (FCF) under variable speed conditions exhibits a variable value that depends on the instantaneous shaft rotational speed (ISRS). The representation of the FCFs in the frequency domain reveals overlapping patterns among them. To solve the mentioned problem, a novel tool is proposed and established by mixing the two methods: The Fourier-based SynchroSqueezing transform (FSST) and Principal Component Analysis (PCA). By illustrating the envelope signal in time-frequency distribution using FSST, the FCF is highlighted in each ISRS value. Finally, this time-frequency distribution is used as input of PCA to classify rolling bearings. This method successfully diagnosed both inner race fault and outer race fault of rolling bearings. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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