The invention discloses a mine vertical shaft rigid cage guide defect diagnosis method. A lifting system test bed, a cage, a three-direction acceleration sensor, a signal acquisition instrument and a notebook computer are included, the three-direction acceleration sensor is mounted in the middle of the top of the cage through a magnet; and the three-direction acceleration sensor is connected with the signal acquisition instrument through a data transmission line, and the signal acquisition instrument is connected with the notebook computer through a network cable. According to the mine vertical shaft rigid cage guide defect diagnosis method, a vertical shaft lifting system rigid cage guide serves as an object, real-time vibration acceleration signals of the vertical shaft lifting system rigid cage guide are collected, empirical mode decomposition is combined with Hilbert spectrum to carry out feature description and singular value decomposition on vibration signals to carry out feature extraction and establish a feature matrix, and an algorithm is utilized to optimize a support vector machine model, and the support vector machine model is used for carrying out mode recognition and classification on the defects of the rigid cage guide. The problems that at the present stage, research on the defects and faults of the rigid cage guide of the vertical shaft lifting system is insufficient, and a traditional diagnosis method is low in efficiency and accuracy are solved.
本发明公开了一种矿井立井刚性罐道缺陷诊断方法,包括提升系统试验台、罐笼、三方向加速度传感器、信号采集仪和笔记本电脑,三方向加速度传感器通过磁铁安装在罐笼顶部的中间位置,三方向加速度传感器通过数据传导线与信号采集仪相连接,信号采集仪通过网线与笔记本电脑相连接。本发明以立井提升系统刚性罐道为对象,采集其实时的振动加速度信号,利用经验模态分解结合希尔伯特谱对振动信号进行特征描述,奇异值分解进行特征提取并建立特征矩阵,利用算法对支持向量机模型优化,并利用其对刚性罐道的缺陷进项模式识别和分类,解决了现阶段对于立井提升系统刚性罐道的缺陷故障研究不够充分,传统的诊断手法效率较低,准确率较低的问题。
Mine vertical shaft rigid cage guide defect diagnosis method
一种矿井立井刚性罐道缺陷诊断方法
2021-09-24
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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