| At present,there are many monitoring methods in the field of equipment fault diagnosis,including vibration method,noise method,temperature method,pressure method,etc.The vibration method is usually chosen as the main means of equipment monitoring and diagnosis.Among the many signal processing methods,the traditional FFT(Fast Fourier Transform)-based signal processing method provides a huge help for the development of fault diagnosis.Currently,non-stationary signal time-frequency joint analysis methods are commonly used for fault signals.Because FPGA(Field Programmable Gate Array)has huge advantages in signal processing compared with ordinary CPUs,parallel processing data is fast,and interface design is convenient,so this article mainly studies the realization of signal time-frequency analysis on FPGA platform,and mainly develops the following Aspect work.First of all,this article explains the advantages and disadvantages of different time-frequency analysis methods,and studies the principles of its algorithm implementation,which lays the foundation for the subsequent implementation of time-frequency domain signal processing based on the FPGA platform.Secondly,design a method for signal framing and windowing.Finally,according to the FPGA design process,the FFT transform signal processing algorithm of the vibration signal is realized,which provides an achievable method for the FPGA realization of STFT(short-time Fourier transform).In this article,we choose Xilinx’s FPGA platform and Vavido development tools to design a scheme based on FPGA to realize the short-time Fourier transform method.The FPGA implementation has the advantage of flexible programming,and the use of hardware to process the signal avoids the slow shortcomings of ordinary CPUs in performing a large number of mathematical operations.Finally,through the processing of the rolling bearing fault signal,the analysis and verification of the feasibility of the implementation of STFT on the FPGA platform have verified the correctness of the scheme.It has certain reference value for the research of constructing small portable fault diagnosis instrument. |
