Research On Intelligent Diagnosis And Maintenance Method Of Computerized Flat Knitting Machine

Computerized flat knitting machine is an important foundation for the development of knitting industry.With the progress of manufacturing technology,the automation level and digital level of computerized flat knitting machine are constantly improving.Intelligent manufacturing and industry 4.0 have become the key factors affecting the future development of flat knitting machine manufacturing enterprises.The maintenance of flat knitting equipment has caused serious concern.People have higher and higher requirements on the reliability of the flat knitting machine,and expect that the flat knitting machine can run reliably and efficiently for a long time.Failure of flat knitting machine will not only damage the equipment and components,but also may seriously delay the production plan of knitting factory,so the research of intelligent diagnosis and maintenance of flat knitting machine has become a top priority.We must diagnose the fault in time before it causes serious damage.With the progress of technology,we can use intelligent maintenance methods to predict the health state of the computer flat knitting machine,timely maintenance measures for flat knitting machine,so that the probability of failure of the computer flat knitting machine greatly reduced.Intelligent diagnosis and maintenance of flat knitting machine is the technology which based on a large number of key system data,combined with electronic information technology,through data analysis and mining,establish mathematical algorithm model,in order to judge equipment fault and prevent the occurrence of fault.The purpose of this study is to contribute to the intelligent diagnosis and maintenance of computerized flat knitting machine and to promote the intelligent development of flat knitting machine industry.Then a set of integrated system of signal acquisition,data processing,algorithm and model is designed according to the mechanical mechanism and working characteristics of the computerized flat knitting machine.At present,the system has three main functions: needle bed lubrication prediction,abnormal vibration detection and dynamic detection.Based on the correlation between the vibration characteristics of the flat knitting machine's head and the lubrication of the flat knitting machine,a model for predicting the lubrication of the flat knitting machine based on support vector machine was established.Abnormal vibration detection is found if the flat knitting machine needle occur bed firing pin,unstable placed flat knitting machine and head impact failure,which will produce abnormal amount of vibration for a short period of time,according to the characteristics of our data based on the movements of a large number of flat knitting machine,flat knitting machine in normal operation under different working condition when the large amplitude vibration,through the amplitude to set the reasonable threshold value to judge the abnormal vibration.Dynamic detection is based on the specific state of the current operation of the flat knitting machine,data collection of the parameters of key parts of the flat knitting machine and the establishment of a real-time mathematical model.If the abnormal state of the flat knitting machine is often reflected in the change of data characteristics,based on which the various abnormal conditions of the flat knitting machine can be monitored.Finally,this paper introduces the user interface and structure of the intelligent diagnosis and maintenance system of the flat knitting machine,which mainly includes data acquisition module,needle bed lubrication prediction module,dynamic detection module,abnormal vibration detection module and user interaction module.