Development Of Multichannel Photoelectric Measuring Vibration Signal Processing System

The use of mechanical equipment is one of the symbol of modern industrial production. With the development of industrial technology, the use of large, sophisticated, comprehensive, systematic and automatic, heavy mechanical equipment is becoming more and more frequently used. Though, more and more equipment breakdowns are inevitable, result in the loss of the intended function, and even cause disastrous consequences. The product failure investigation of the United States Air Force shows that the fault caused by vibration, accounted for 27% of the total. Damage caused by vibration in industrial production can not be ignored. In order to ensure the normal operation of rotating machinery equipment, accurate diagnosis, prevention and elimination of machinery and equipment faults are becoming more and more important.In view of the complexity of vibration source, a multichannel photoelectric measuring vibration signal processing system of fiber tension screening is designed and developed. A variety of time and frequency domain signal processing method are analized in this system. The main research achievements of this thesis are as follows:(1) A set of multi-channel photoelectric vibration monitoring system is developedThe hardware of signal acquisition module, USB data communication module, the PC software system, and the signal in time domain and frequency domain analysis module are designed in this thesis. On the basis of the vibration signal for rotating vibration source analysis, and the acquisition, transfer and process of the signal are completely applied in the system.(2) A high-speed data transmission module based on USB is realizedThe signal collected from acquisition and digital module is transmitted to the upper layer software system through the USB interface protocol with high speed and accuracy, the design of firmware, driver and application program are focused in this module.(3) A upper layer software system is implementedThe system software development principles and functional requirements are analysed, and the interface and the software function module of the software are realized on this basis of Visual Studio 2013 and Qt 5.1.(4) The design of digital signal preprocessing algorithm, the time domain processing algorithms and frequency domain algorithm are researchedSome common signal processing, such as the pre filter, zero mean, the wrong point out, the trend-eliminate are compared in the preprocessing algorithm, and finally three of them are used. In the time domain algorithm, spline interpolation, least square method are researched. By using numerical integration methods, the displacement function of monitoring data is obtained, the operation of the whole machine is monitored by this data. Finally, in the frequency domain algorithm, after comparing FFT and Zoom-FFT, an adaptive processing algorithm is designed. Wavelet analysis is researched and applied to the signal analysis besides the FFT.