| 佟鑫宇,沙云东,栾孝驰,赵俊豪,张振鹏.基于声发射特征参数的航空轴承滚道损伤程度识别方法[J].装备环境工程,2024,21(9):70-78. TONG Xinyu,SHA Yundong,LUAN Xiaochi,ZHAO Junhao,ZHANG Zhenpeng.Aircraft Bearing Raceway Damage Identification Method Based on Acoustic Emission Characteristic Parameters[J].Equipment Environmental Engineering,2024,21(9):70-78. |
| 基于声发射特征参数的航空轴承滚道损伤程度识别方法 |
| Aircraft Bearing Raceway Damage Identification Method Based on Acoustic Emission Characteristic Parameters |
| 投稿时间：2024-08-08 修订日期：2024-09-03 |
| DOI：10.7643/issn.1672-9242.2024.09.009 |
| 中文关键词: 滚动轴承 滚道损伤 声发射 特征参数 损伤程度 损伤因子中图分类号:V235.13 文献标志码:A 文章编号:1672-9242(2024)09-0070-09 |
| 英文关键词:rolling bearing raceway damage acoustic emission characteristic parameter damage degree damage factor |
| 基金项目:中国航发产学研合作项目(HFZL2018CXY017)。 |
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| Author | Institution |
| TONG Xinyu | Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang 110136, China |
| SHA Yundong | Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang 110136, China |
| LUAN Xiaochi | Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang 110136, China |
| ZHAO Junhao | Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang 110136, China |
| ZHANG Zhenpeng | Key Laboratory of Advanced Measurement and Test Technique for Aviation Propulsion System, Liaoning Province, Shenyang Aerospace University, Shenyang 110136, China |
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| 中文摘要: |
| 针对航空轴承滚道损伤程度难识别的问题，以声发射参数分析为基础，结合时间到达特征指数(TAFI)、能量、计数、撞击数等特征参数以及引入无量纲参数损伤因子，提出了一种基于声发射特征参数的航空轴承滚道损伤识别方法，并搭建了滚动轴承故障模拟试验台进行试验，总结了滚动轴承不同损伤程度下声发射参数的敏感程度与变化规律，并在航空轴承故障模拟试验台进行了航空轴承损伤演化试验验证。时间到达特征指数可初步判断轴承是否有故障，声发射信号的能量、计数、幅值与幅值的撞击数在轴承损伤程度增加时，对轴承滚道损伤更为敏感，损伤因子明显变化，可以对不同损伤程度的航空轴承滚道损伤特征进行有效识别。时间到达特征指数呈现规则条状时，可以初步判断轴承出现故障。轴承损伤程度增加时，能量、计数与撞击数均都有所增加。幅值的撞击数随损伤程度的增加呈现集中趋势，损伤因子数值增大。 |
| 英文摘要: |
| 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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