摘要
针对机械早期故障的特点,设计了一种基于ARM9微处理器和Linux操作系统的便携式机械故障诊断仪。数据采集模块采用共振解调技术和24位高速A/D转换器AD7760,通过GPRS或以太网实现与远程监控系统的实时数据传输。采用基于形态提升小波的自适应多尺度算法对振动信号进行放大、降噪、自适应多尺度滤波,提取出微弱的冲击信号。通过故障轴承的实例分析,表明该诊断仪的诊断结果具有较高的可靠性。
A portable mechanical fault diagnosis instrument based on ARM9 and Linux was designed, according to the character- isties of mechanical early fault. Resonant demodulation technology and AD7760 that is 24 bits high speed A/D converter were de- signed in data acquisition module. The instrument transmits data to remote monitoring system by GPRS or Ethernet.Adaptive multiscale filtering based on morphological lifting wavelet is introduced to amplify weak impulse and smooth the noise, and then the weak impulse could be extracted efficiently. High reliability of the diagnostic result has been proved by fault rolling bearing example.
出处
《电子技术应用》
北大核心
2014年第8期76-79,共4页
Application of Electronic Technique
基金
国家自然科学基金(61174106)
