Application of vibration signal detection in mine hoist fault monitoring system

IF 0.6 Q4 ENGINEERING, MECHANICAL Journal of Measurements in Engineering Pub Date : 2023-06-27 DOI:10.21595/jme.2023.23135
Yonghong Fan, Jinyan Zhang, Da-wei Han
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引用次数: 0

Abstract

Due to the harsh working environment and various types of faults in mine hoists, the implementation of conventional detection is relatively difficult. In order to improve the maintenance and fault detection efficiency of mine hoist, a portable vibration detection system is designed and applied in this paper, which can judge the type and characteristics of mechanical faults according to the different responses of vibration signals. According to the test conditions of the vibration system, the overall structure and functional composition of the hardware system are established. The key functional modules are designed, including signal conditioning module, main control module, vibration sensor and power management module. The main reasons that affect and produce the hoist fault and mechanical vibration are analyzed. The wavelet packet analysis method is proposed to realize the decomposition of low frequency and high frequency signals to improve the signal resolution of the whole frequency band in the frequency domain. The vibration test system has the function of real-time data transmission and control. The realization methods include WiFi and reserved RS485 communication interface, which can match the communication rate with the data sampling rate. The amplifying circuit of the electric signal is designed to effectively ensure that the output voltage of the charge amplifier is within the input range of the amplified ADC value. In order to verify the working effect of the system, the most common gearbox and bearing failures are taken as examples. The response signals of vibration test and diagnosis can be effectively obtained, and the fault types and characteristics can be accurately judged. Through confusion matrix analysis, the reliability of the system detection index is effectively verified. The research results show that the data of the vibration detection system is stable and reliable, and can achieve good troubleshooting effect. It also can be known that different fault types can excite different vibration responses, especially at resonance frequencies. According to the verification, the data of the vibration detection system is stable and reliable, and can achieve good troubleshooting effect.
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振动信号检测在矿井提升机故障监测系统中的应用
由于矿井提升机工作环境恶劣,故障种类繁多,常规检测的实施相对困难。为了提高矿井提升机的维护和故障检测效率,本文设计并应用了一种便携式振动检测系统,该系统可以根据振动信号的不同响应来判断机械故障的类型和特征。根据振动系统的测试条件,确定了硬件系统的总体结构和功能组成。设计了关键功能模块,包括信号调理模块、主控模块、振动传感器和电源管理模块。分析了影响和产生启闭机故障和机械振动的主要原因。提出了小波包分析方法来实现低频和高频信号的分解,以提高整个频带在频域中的信号分辨率。振动测试系统具有实时数据传输和控制功能。实现方法包括WiFi和预留RS485通信接口,可以将通信速率与数据采样速率相匹配。电信号的放大电路被设计为有效地确保电荷放大器的输出电压在放大的ADC值的输入范围内。为了验证系统的工作效果,以最常见的齿轮箱和轴承故障为例。可以有效地获得振动测试和诊断的响应信号,准确判断故障类型和特征。通过混淆矩阵分析,有效验证了系统检测指标的可靠性。研究结果表明,该振动检测系统数据稳定可靠,能够达到良好的故障排除效果。还可以知道,不同的故障类型可以激发不同的振动响应,特别是在共振频率下。经验证,振动检测系统数据稳定可靠,能够达到良好的故障排除效果。
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来源期刊
Journal of Measurements in Engineering
Journal of Measurements in Engineering ENGINEERING, MECHANICAL-
CiteScore
2.00
自引率
6.20%
发文量
16
审稿时长
16 weeks
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