在非凸起的光滑处罚框架下对变速箱故障诊断进行形态组件分析
Ziwei Zhang1, Weiguo Huang1, Jun Wang1
1School of Rail Transportation, Soochow University, Suzhou, 215131, PR China; Intelligent Urban Rail Engineering Research Center of Jiangsu Province, Suzhou, 215131, PR China.
ISA transactions
|September 7, 2023
概括
一个新的非凸滑处罚框架 (NSPF) 通过精确重建信号来改善变速箱故障诊断. 这种方法提高了稀疏性,并保证了为更准确的故障检测提供最佳解决方案.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
- 计算数学 计算数学 计算数学
背景情况:
- 稀疏表示是变速箱故障诊断的关键.
- 从噪音数据准确地重建故障信号是具有挑战性的.
- 非凸的惩罚提供了更好的稀疏性,但可以破坏模型的稳定性.
研究的目的:
- 引入一个新的非凸滑处罚框架 (NSPF) 用于变速箱故障诊断.
- 开发一种提高信号重建精度和模型稳定的方法.
- 在统一的框架内生成新的非凸的惩罚函数.
主要方法:
- 结合非凸光滑惩罚框架 (NSPF) 与形态组件分析 (MCA).
- 制定一个统一的罚款构造框架,能够产生新的非凸的平滑罚款.
- 确保目标函数的凸度,同时最大限度地提高稀疏度.
主要成果:
- 该NSPF框架成功地提高了信号稀疏性,并保持了客观功能的凸度.
- 与现有的处罚相比,拟议的方法实现了更高的重建精度.
- 模拟和工程实验验证了NSPF在变速箱故障诊断中的有效性.
结论:
- NSPF提供了一种强大而精确的方法来诊断变速箱故障.
- 这一框架克服了与传统的非凸处罚相关的不稳定性问题.
- 通过NSPF,可以获得全球最佳的解决方案,提高诊断准确度.
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