Rolling Bearing Fault Diagnosis System, Fpga Signal Processing Research

Rolling bear is the most easily damaged machinery and equipment components, while the rolling bearing fault diagnosis technology can master the functioning and predict problems as soon as possible, to reduce accident loss and play a key role in maintenance costs. During the development process of this technology,it has been produced a number of different characteristics of the bearing fault diagnostic apparatus,which are widely used in industrial inspection, aviation, railway systems and other fields.With the development of scientific and technological progress, a further increase in demand of stability and reliability and accuracy of the equipment,this paper uses mature technology to build a new bearing diagnostic processing system and address deficiencies in the current testing system,which has a significant practical meaning and application prospects.This paper seeks to examine the analysis of a certain section bearing fault detection instrument on the existing condition,though the detector circuit theory and the measured signal analysis, signal processing process is received.There are some existence defects such as complex signal processing circuit, the slow reaction rate, be unupdated.And then mainly based on the principle of shock pulse method,signal processing algorithms for bearing diagnosis is designed to prepare the paper model of a mathematical algorithm. Good,damage bearing signal measured by sensor front-end conditioning circuitry,through the program verification,has obtained more reasonable results respectively.Then put forward to the innovative use of advanced field-programmable logic array (FPGA) signal processing method for processing.The results show that rolling bearing fault diagnosis of FPGA signal processing system hardware circuitry can meet the system functional requirements,with speed,accuracy and resource advantages and practical reference value,in order to create a new higher performance bearing fault diagnosis instrument lay a good foundation.Comparison with the current performance of FPGA development tools,Altera's DSP Builder development technologies is selected to finish the FPGA processing of the mathematical algorithms.Concretely under Simulink in the Matlab software and accordong to the mathematical algorithm,finishes the algorithm-level modeling and system simulation and verification,then through the SignalCompiler automatically generates programming files for hardware implementation that download to realize.This method eliminates the need for a complex VHDL code writing and revision process, shortens the development cycle, improves development efficiency.It is the key to dealing with rolling bearing fault signal using FPGA technology.Based on the DSP Builder technology,Modeling algorithm is mainly realized fault signal parallel pipeline structure of FIR digital band-pass filter,and then calculated the pulse value to improve the speed and accuracy of this system.Overall system simulation, synthesis,adaptation and until generating Firmware have achieved a consistent results with the measured good or damage conditions.The results show that FPGA-based fault diagnosis of rolling bearing signal processing to meet the system functions,accuracy and speed requirements,it proves to be achieved the desired purpose and effect with a good practical reference value.In this paper,the exploration and attempt on the signal processing of rolling bearing fault diagnosis system that is designd by using the high-performance FPGA development tools DSP Builder has been done,which has an a positive significance and broad application prospects on the the development of bearing fault diagnosis system as embedded portable FPGA core in the future.