Industrial And Mining Large Fan Machinery Vibration Fault And Diagnosis Methods

With the rapid development of science and technology,machinery and equipment safety problem has become the hot spots of research.Fan is one of the key equipment of industrial and mining enterprises in production,it's working conditions directly affect the stability of the entire mining companies running,and the mechanical vibration of the fan is fan-important factors in normal operation.Now fans the mechanical vibration of the device and the fan has been running for real-time online monitoring technology more people at home and abroad,the enterprise concerned.This article is in such a context,by fans of various coal mines in Xinjiang to research for the operation,combined with the "study of mechanical fault diagnosis of fan" this subject,to fans of the mechanical fault vibration signals for the study,characteristics,characteristics of vibration signals generated by the extraction,processing methods,technical means and study application.Matlab the Math Works company launched to solve the tedious calculation of a graphical language is very broad.It is important way to implement digital signal processing techniques.This article is the use of Matlab on fan vibration signal simulation of a mechanical failure,take advantage of its powerful computing capabilities and simple program for analysis of vibration signals in time domain,frequency domain analysis and Wavelet analysis.Analysis shows that the use of such methods of fan vibration problems are feasible and effective,is achievable on fan vibration signal analysis,processing and judgments,projections on its operation,fails to detect devices may exist,and achieve the goal of predictive maintenance without downtime,this project has some practical value.