Development Of A Vibration Monitoring System Based On Discrete Fourier Tranfgorm

With the gradual development of science and technology,various industries introduce a large number of motor equipment to improve work efficiency.Vibration monitoring of motor equipment plays an important role in ensuring production safety in factories.At present,most vibration monitoring methods rely on manual inspection of motor surface detection devices to understand the vibration status of the motor.However,in most motor operating environments,manual inspection has drawbacks such as low efficiency,high time and labor costs,and cannot meet the requirements of large-scale motor monitoring.This article focuses on the actual needs of motor vibration monitoring in the scraper conveyor equipment used in coal mining.A multi motor vibration monitoring system is designed to monitor the vibration of the internal motors of multiple scraper conveyors in the tested area,obtain real-time vibration acceleration signals of the motors,and evaluate the vibration status of the motors through the analysis of the motor vibration acceleration signals to determine whether the motors have faults and the types of faults.The development of a motor vibration monitoring system has practical social and economic benefits for the modernization of production equipment,and is of great significance.At present,time-domain or frequency-domain analysis methods are commonly used for analyzing motor vibration signals.The frequency-domain analysis method is to identify faults by analyzing the frequency spectrum of motor vibration signals,which usually has high accuracy but requires high resolution of the signal spectrum.The time-domain analysis method evaluates the vibration status of the motor by analyzing the time-domain indicators of motor vibration signals,which is simple in operation but has poor accuracy in evaluation.This article proposes a vibration monitoring method based on time-frequency domain comprehensive analysis to achieve monitoring of motor vibration in response to the above defects.defects.By preprocessing the collected motor vibration acceleration signal to obtain the signal period,the data sampling frequency of the discrete Fourier transform is designed based on this.The main acceleration function of motor vibration in time domain is obtained by analyzing the frequency spectrum of vibration signal obtained from Fourier transform,and the vibration displacement of the motor is obtained by integration,which is an important parameter in the subsequent multi parameter comprehensive analysis.At the same time,the time domain index extraction of motor vibration acceleration signal after discretization is carried out,and the selection method of time domain index is designed to complete the selection of time domain index used in the subsequent multi parameter analysis.Design a multi-parameter comprehensive analysis method based on multi classification neural networks,with the time-domain indicators of motor vibration acceleration signals and motor vibration displacement as input parameters,and the vibration status of the motor as output parameters.Complete the structural design and training learning of the BP neural network,and add a classification layer to probabilistic process multiple output values of the BP neural network,achieving a multi classification neural network,The multi parameter comprehensive analysis method based on multi classification neural network is used to evaluate the vibration status of motors.This study designed a multi motor vibration monitoring system and completed the hardware and software design of the system.The hardware design includes the design of the motor vibration acceleration signal acquisition module,data processing module,and data transmission module,completing the collection,analysis,and upload functions of the motor vibration signal.The software design includes the algorithm implementation of discrete Fourier transform,time-domain index extraction,signal frequency domain analysis,and multi-parameter comprehensive analysis methods,completing the evaluation of motor vibration conditions.The software design also includes the communication module design and data reading module design of the upper computer,completing the data transmission and display functions.And an evaluation test was conducted on the motor vibration status,using the motor vibration acceleration signal under normal vibration status and the motor vibration acceleration signal for bearing inner and outer ring faults.The test results showed that the multi-parameter comprehensive analysis method in this design can accurately evaluate the motor vibration status.The data uploaded by the monitoring device is received and displayed on the upper computer,Complete the testing of data transmission and display functions of the monitoring system.