摘要
为了解决机械设备故障诊断过程中的人工采集数据不便和监测设备采集大量的正常信号造成的资源浪费问题,设计了一种基于FPGA和STM32的故障监测系统,先对采集信号进行时域特征计算然后传输。该系统以加速度传感器为信号输入,信号经过模拟电路处理,FPGA芯片和STM32单片机为数据处理和控制核心,结合NB-IoT无线传输模块和SD卡存储模块实现数据的传输和存储。实验结果表明系统运行正常,可以实现对机械设备运行状态的远程监测。
A fault monitoring system based on FPGA and STM32 was designed to solve the problem of manual data collection inconvenience and resource waste caused by normal signals collected by monitoring equipment during mechanical equipment fault diagnosis process.The time domain characteristics of the collected signals were calculated and then the collected signals were transmitted.The system used acceleration sensor as signal input and the signal was processed by analog circuit.FPGA chip and STM32 microcontroller were as the core of data processing and control,which combined with the module of NB-IoT and SD card to realize data transmission and storage.Experimental results show that the system runs normally and realizes the remote monito⁃ring of the mechanical equipment.
作者
马洋洋
陈宏
MA Yang-yang;CHEN Hong(School of Mechanical and Power Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2022年第7期66-69,94,共5页
Instrument Technique and Sensor