基于解析模型和形态分析的轴承局部缺陷尺寸鲁棒混合估计方法。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Zepeng Ma, Lei Fu, Dapeng Tan, Meiya Ding, Fang Xu, Libin Zhang
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引用次数: 0

摘要

本文提出了一种稳健的混合方法,利用分析模型和形态分析来估算轴承上的缺陷尺寸,解决了传统的基于峰值的方法不准确的问题。首先,本文建立了一个空间接触分析模型,用于分析滚子在缺陷中的运动。数值结果表明,径向缺陷尺寸对准确估算的双脉冲间隔有很大影响,而轴向尺寸的影响则微乎其微。对接触变形、力和振动响应的分析表明,缺陷入口在第一个低频峰之前对齐,出口在第一个高频峰之后、第二个低频峰之前对齐。最后,结合振动特性和几何形状,在四个样品上对推导出的模型进行了测试,结果显示最小估计误差为 0.03%,证明了模型的高精确度和实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust hybrid estimation method for local bearing defect size based on analytical model and morphological analysis
This paper presents a robust hybrid method using an analytical model and morphological analysis for estimating defect sizes on bearings, addressing inaccuracies in traditional peak-based approaches. First, a spatial contact analytical model is developed to analyze roller movement through defects. Numerical results indicate that radial defect sizes significantly impact dual-impulse intervals for accurate estimation, while axial size has minimal effect. An analysis of contact deformation, force, and vibration response reveals that the defect entry aligns before the first low-frequency peak, and the exit aligns after the first high-frequency peak, preceding the second low-frequency peak. Finally, testing of the derived model on four samples, incorporating vibration characteristics and geometry, achieves a minimum estimation error of 0.03%, demonstrating high accuracy and practical value.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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