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| Aircraft Bearing Raceway Damage Identification Method Based on Acoustic Emission Characteristic Parameters |
| Received:August 08, 2024 Revised:September 03, 2024 |
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| DOI：10.7643/issn.1672-9242.2024.09.009 |
| KeyWord:rolling bearing raceway damage acoustic emission characteristic parameter damage degree damage factor |
| Author | Institution |
| TONG Xinyu |
Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang , China |
| SHA Yundong |
Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang , China |
| LUAN Xiaochi |
Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang , China |
| ZHAO Junhao |
Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang , China |
| ZHANG Zhenpeng |
Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang , China |
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| Abstract: |
| The work aims to solve the problem that the damage degree of aviation bearing raceway is difficult to identify. Based on acoustic emission parameter analysis, combined with the time arrival feature index (TAFI), energy, count, impact number and other characteristic parameters, as well as the introduction of dimensionless parameter damage factors. A rolling bearing raceway damage identification method based on acoustic emission characteristic parameters was proposed. A rolling bearing fault simulation test bench was built for testing. The sensitivity degree and variation rule of acoustic emission parameters under different damage degree of rolling bearing were summarized. And the damage evolution test of bearing was verified on the bearing fault simulation test bench. The time arrival feature index can initially determine whether the bearing is faulty. The energy, count, amplitude and impact number of acoustic emission signal are more sensitive to the bearing raceway damage when the bearing damage degree increases, and the damage factor changes obviously, which can effectively identify the damage characteristics of aviation bearing raceway with different damage degrees. The time arrival feature index presents a regular strip, which can initially judge the bearing failure. When the bearing damage degree increases, the energy, count and impact number all increase. The impact number of the amplitude shows a centralized trend with the increase of the damage degree, and the damage factor value increases. |
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