Research On Vibration Signal Acquisition And Analysis System Based On Visual C ++

Rotating machinery is widely used nowadays,whether they can run smoothly means a lot to production and our daily life.Using order analysis technology to analyze the vibration signal which produced by rotating machinery can offer us the order tracking spectrum.The spectrum is very useful to help us monitor and diagnose the machinery state.According to the background,we design a system based on order analysis technology,which can collect and analyze the vibration signals.We divide this system into hardware part and software part. Hardware part is divided into four modules, including signal collection and adjustment module,signal processing module,control module and power module.We make FPGA and ARM be the controlling core here.The software part is divided into three modules,including signal receiving module,signal collecting module and signal processing module.When we receiving the real time signal,we use database to collect and matlab to analyze.To improve the accuracy of order analysis technology,we design a analysis technology based on quartic Hermite interpolating splines with parameters.The shape of the proposed splines could be adjusted by changing the values of parameters,so we can make the approximation better than least square fit and standard cubic Hermite interpolating spline,even can successfully improve the accuracy of time during re-sampling.According to the problem that the database dose not have enough space for the real-time vibration signal,the paper provides a storage management method of real-time vibration signal based on entropy weight technology. In this way,we should calculate the parameters of time-domain and frequency-domain respectively, evaluate each part of signal with different weight valued parameters, then order these signals, keep the useful signals with higher weighed result, delete less useful signals with lower weighed results. This method can not only save the storage space of database for subsequent signals, but also storage useful signals completely with useful information of machinery’s states.