The Development Of Vibration Signal Management And Analysis System For Fluid Machine

The fluid machinery is the key equipment in the modern industrial. The vibration of the unit involves in the design, manufacture, installation and operation, and it forms its own unique technical fields. Vibration is one of the main faults in the unit operation, and it will form serious vibration accident.This paper introduces the research background, the present developing status and the trend of the vibration monitoring and diagnosis technology. This article discusses the theory of machinery vibration and signal analysis, including the basic concepts and methods of the mechanical vibration, the discretization of the vibration signal, the methods of signal pretreatment, leakage and window function and the methods of the signal analysis.This paper designs a vibration signal management and analyzing system for fluid machine based on Inprise C++ Builder. It adopts MS Access database and uses ADO technology. This paper discusses the design ideas, design scheme, the realization of software and the pivotal technique in detail. It realizes the functions of history data management and signal analysis. It adopts the structure of machine, point and data. The vibration data is reading from file. It realizes the functions of adding, deleting and querying data by using configuration table. The system provides rectangle window, Hanning window and Hamming window. The functions of the signal time field analysis include waveform analysis, the auto correlation analysis and the cross correlation analysis. The functions of the frequency field analysis include the amplitude spectrum analysis, the phase spectrum analysis, the auto power spectrum analysis, the cepstrum analysis and the envelope analysis.It realizes the function of reading and writing the long wave data by using the Blob field of C++ Builder, adding and deleting data expediently by using configuration table. So it increases the efficiency of the workers remarkably.The results of various testing experiments show that the system is stable, the operation is simple, it realizes the various functions, inquiry is rapid, data analysis results are accurate and the expected targets have been reached.