Application And Research Of Empirical Wavelet Transform In Fault Diagnosis Of Planetary Gearbox

Planetary gearbox is an important transmission mechanism in modern mechanical equipment systems.It is widely used because of its small size,wide speed ratio range,strong load capacity and stable operation.The gear plays an important role as the core component of the gearbox.For this reason,when the internal gear of the gearbox fails,the power of the entire transmission system is often paralyzed,which even has a major impact on the safety of the entire industrial production and operation personnel.In view of this,it is very important to diagnose the planetary gearbox gears fault.The details are as follows:Compared with the traditional digital signal processing algorithm,the empirical wavelet transform algorithm has good adaptability,the mathematical theory derivation process is reliable,the decomposition result is stable,and the calculation is simple and rapid,and so on.In view of this,this paper proposes the vibration signal sensor and the new acoustic emission signal sensor to collect data of different kinds of planetary gears as the research object,and use the unique advantage of the empirical wavelet transform algorithm in the field of digital signal processing to design and make a set of the planetary gearbox fault detection system that completes the solution for fault detection and identification of the planetary gearbox.Then,the hardware design process of the whole digital acquisition system is completed,which mainly includes signal conditioning circuit,analog-to-digital,converter ADC configuration circuit,control chip and storage transmission circuit,and system power supply circuit.On this basis,the on-chip system construction and software development work was completed,using the chip Zynq-7010 with FPGA+ARM as the architecture.In the design and development process,the PL part of the logic system design and the PS part of the C language program development are involved.The entire system design includes: ADC7903 controller module,PL and PS communication module,parameter configuration of various IP cores,and DMA and Ethernet transmission ports.Finally,combined with the entire inspection system and the planetary gearbox working platform,a large number of data acquisition and analysis experiments were carried out.In this process,the acoustic emission and vibration signal sensors were usedto collect the operating data of normal,broken and cracked planetary gears at 60 rpm,180 rpm,240 rpm,and 300 rpm.Finally,the empirical wavelet transform algorithm is used to process the data collected by the acoustic emission signal and the vibration signal sensor,and the fault characteristic parameters of the faulty gear are extracted.By combining the processed acoustic emission signal and the vibration signal data,the actual situation is obtained.The feasibility of the empirical wavelet transform algorithm in the fault diagnosis of planetary gearbox is verified.