| 李楠楠,杨铎,王珍,李新芳.采用TVFEMD和瞬时能量比的轧辊磨床颤振
在线监测方法[J].电子测量与仪器学报,2024,38(1):228-236 |
| 采用TVFEMD和瞬时能量比的轧辊磨床颤振
在线监测方法 |
| Chatter online monitoring method for roll grinder using TVFEMDand instantaneous energy ratio |
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| DOI： |
| 中文关键词: 时变滤波经验模态分解（TVFEMD） 瞬时能量比（IER） 颤振敏感频带 瞬时能量比上升量 在线监测 |
| 英文关键词:time-varying filtering empirical mode decomposition (TVFEMD) instantaneous energy ratio (IER) chatter sensitive frequency band instantaneous energy ratio rise online monitoring |
| 基金项目:辽宁省教育厅基本科研项目（LJKFZ20220289）资助 |
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| Author | Institution |
| Li Nannan | School of Mechanical Engineering, Dalian University, Dalian 116622, China |
| Yang Duo | School of Mechanical Engineering, Dalian University, Dalian 116622, China |
| Wang Zhen | School of Mechanical Engineering, Dalian University, Dalian 116622, China |
| Li Xinfang | State Grid Jiamusi Power Supply Company, Jiamusi 154004, China |
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| 中文摘要: |
| 在磨削过程中，颤振是轧辊表面产生振纹的一个最重要的原因，严重影响了工件表面质量。为避免颤振带来的不利影响，提出了一种基于时变滤波经验模态分解（TVFEMD）和瞬时能量比的（IER）的颤振在线监测方法。该方法采用可靠的指标提前监测出颤振的发生，解决了轧辊磨床早期颤振特征微弱,在背景噪声下难以快速识别的问题。首先对实时采集的振动信号进行实时分段处理。其次对每个砂轮转动周期内的信号进行时变滤波经验模态分解，提高信噪比。然后运用瞬时频率和瞬时能量比选取颤振敏感频带, 将颤振敏感频带的瞬时能量比作为颤振特征。最后基于瞬时能量比上升量确定颤振监测阈值, 判断当前加工状态。试验结果表明, 在不同的轧辊磨床加工条件下, 所提方法均能在颤振过渡阶段将其检测出来, 更快地实现颤振早期预警；与EMD等传统时频分析方法相比，在早期颤振监测中具有明显的优势。 |
| 英文摘要: |
| In the process of grinding, chatter is the most important reason for the surface of the roll to produce vibration lines, which seriously affects the surface quality of the workpiece. In order to avoid the adverse effects of chatter, an online chatter monitoring method based on time-varying filtered empirical mode decomposition (TVFEMD) and instantaneous energy ratio (IER) is proposed. The method uses reliable indicators to detect the occurrence of chatter in advance, and solves the problem that the chatter characteristics of roll grinding machine are weak in early stage and difficult to identify quickly under background noise. Firstly, the collected vibration signals are processed in real time by sections. Secondly, the time-varying filtering empirical mode decomposition is carried out for signals within each grinding wheel rotation cycle to improve the signal-to-noise ratio. Then, the chatter sensitive frequency band is selected by using the instantaneous frequency and instantaneous energy ratio, and the instantaneous energy ratio of the chatter sensitive frequency band is taken as the chatter characteristic. Finally, the chatter monitoring threshold is determined based on the instantaneous energy ratio rise, and the current machining state is judged. The results show that the proposed method can detect chatter in the transition stage under different processing conditions of roller grinder, and the early warning of chatter can be achieved faster. Compared with traditional time frequency analysis methods such as EMD, it has obvious advantages in early chatter monitoring. |
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