Vibrational resonance mechanism in the high-order-degradation bistable system and its application in fault diagnosis

Haitao Xu, Shengxi Zhou
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Abstract

Bearings play an important role in the rotating machinery. Timely fault detection and maintenance can prevent catastrophic incidents caused by bearing faults. As one of the advanced techniques to extract the weak characteristics of bearing fault, the methods based on the vibrational resonance (VR) mechanism can effectively amplify the weak characteristics. However, first, the effect of the barrier width and the barrier height on the VR mechanism has not been investigated. Second, the application of the VR mechanism requires accurate prior knowledge, which limits its application. In this paper, the high-order-degradation bistable potential is decoupled so that the effect of the barrier width or the barrier height on the VR mechanism can be easily analyzed. Then, the initial frequency detection technique based on the 1.5-dimension envelope spectrum and the logical operation of sets is proposed, which helps to adaptively provide accurate prior knowledge for the application of the VR mechanism in the high-order-degradation bistable system (HBSVR). Finally, experimental results show that the proposed method is more advantageous in detecting single and compound faults compared with other state-of-the-art methods.
高阶退化双稳态系统中的振动共振机制及其在故障诊断中的应用
轴承在旋转机械中发挥着重要作用。及时的故障检测和维护可以避免轴承故障造成的灾难性事故。作为提取轴承故障微弱特征的先进技术之一,基于振动共振(VR)机制的方法能有效放大微弱特征。然而,首先,障碍物宽度和障碍物高度对 VR 机制的影响尚未得到研究。其次,VR 机制的应用需要精确的先验知识,这限制了它的应用。本文解耦了高阶降解双稳态势,从而可以轻松分析势垒宽度或势垒高度对 VR 机制的影响。然后,提出了基于 1.5 维包络谱和集合逻辑运算的初始频率检测技术,有助于自适应地为高阶降阶双稳态系统(HBSVR)中 VR 机制的应用提供准确的先验知识。最后,实验结果表明,与其他最先进的方法相比,所提出的方法在检测单故障和复合故障方面更具优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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