Research on Feature Enhancement in Low-speed Bearing Fault Based on Symmetric Difference Analytic Energy Operator
抄録
Aiming at the problem that the background noise in the low-speed bearing fault vibration signal makes it difficult to extract the fault characteristic frequency, the paper presents a symmetric differential analytical energy operator (SD-AEO) method to enhance the fault feature. SD-AEO introduces the Hilbert transform (HT) into Teager energy operator (TEO) to improve the time-frequency resolution, and combines the symmetrical difference to smooth the signal, which effectively improves the accuracy of signal demodulation. It can largely reduce the background noise and enhance the energy of fault characteristic frequency. Based on the bearing inner race fault simulation signal, this paper compares the TEO, symmetric differential Teager energy operator (SD-TEO), analytic energy operator (AEO), and SD-AEO, the results show that SD-AEO has the best feature enhancement effect. At the same time, the engineering experiments prove that the SD-AEO can effectively enhance the fault feature at low speeds and slight faults.
収録刊行物
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- International Journal of Comprehensive Engineering
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International Journal of Comprehensive Engineering 2021
Diagnosis Engineering Technology, LLP, Japan.
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390572175398143232
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- ISSN
- 21862656
- 21862680
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可