基于维格纳-维尔变换的车辆耐用性疲劳负荷频谱的加速编辑方法
Yongle Yang1, Zhifei Zhang1, Liangfeng Peng1
1College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究引入了维格纳-维尔变换 (WVT) 方法,以高效地编辑车辆的部分负载谱,用于耐用性测试. 通过识别和删除无效的数据点,WVT方法显著提高了测试效率,同时保留了关键的负载信息.
科学领域:
- 工程 工程师 工程师 工程师
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 车辆零件的耐用性测试对于产品的可靠性至关重要.
- 当前负载频谱编辑方法可能是低效的,影响测试时间和成本.
- 精确表示负载光谱对于有效的疲劳分析至关重要.
研究的目的:
- 提出一种基于Wigner-Ville转换 (基于WVT) 的高效方法来编辑车辆部分负载谱.
- 通过减少负载信号中的冗余数据来提高耐用性测试的效率.
- 开发一种基于遗传算法 (GA) 的模型,以优化即时能量频谱 (IES) 值.
主要方法:
- 使用维格纳-维尔变换 (WVT) 来从时间域信号中获得即时能量频谱 (IES).
- 使用遗传算法 (GA) 来优化IES值,以识别无效的损伤点.
- 将基于WVT的方法与时间域编辑,短时间里埃转换和S转换方法进行比较.
主要成果:
- 基于WVT的编辑频谱实现了大约76.30%的时间持续保留比率.
- 这种保留比率明显优于其他比较方法,同时保持伪损坏和统计参数约束.
- 疲劳模拟分析证实,编辑的频谱的负载效应与原始信号的负载效应非常接近.
结论:
- 提出的基于WVT的负载频谱编辑方法对于在车辆耐用性测试中编制组件负载信号非常有效.
- 与现有技术相比,这种方法可以大幅提高效率.
- 该方法确保了关键负载信息的完整性,以准确预测疲劳寿命.
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