Research On Health Management And Fault Prognostic For Production Equipment In Intelligent Factory

In recent years,the construction of intelligent factories has been speeding up.With the promotion of information construction,the safety and reliability of production equipment have become the focus of attention.Once the production equipment fails,it will not only affect the production equipment itself,but also affect the operation of the whole production system.This kind of failure could cause incalculable property losses and production stagnation.The maintenance means of the factories in our country are mainly post-event maintenance and planned maintenance.This traditional method has serious shortcomings under the background of intelligent factory.And the condition-based maintenance based on digital technology can eliminate the fault in its infancy,which makes the digital technology become the development direction of future maintenance guarantee.Health management and failure prediction of production equipment in intelligent factory can effectively warn equipment failure and realize the transformation from post-event maintenance,plan maintenance to situation-based maintenance,predicted maintenance,improve equipment reliability and reduce maintenance costs.Therefore,it is of great theoretical significance to study the production equipment of intelligent factories,and also can create economic benefits for factories.This article takes a manufacturing enterprise as an example to carry out the research on health management fault prediction technology of intelligent factory production equipment.The main research contents are as follows:（1）Analysis and design of equipment health management system in intelligent factory.Based on the equipment health management situation of background enterprises,this article analyzed the challenges faced by the construction and development of equipment health management system,then constructed the overall structure of equipment health management as well as maintenance service in intelligent factory.Health management implementation goals at different stages of equipment management are proposed for intelligent factories with manufacturing mode.In this article,the state classification method of equipment is introduced,different maintenance modes of equipment health log are proposed for various fault types of equipment,various fault states of equipment are analyzed and corresponding maintenance strategies are given.（2）Fault diagnosis of intelligent factory equipment.Fault diagnosis is a basic technology that all types of factories must master.Intelligent factories also require timeliness in fault diagnosis of equipment.In this article,a method for equipment fault diagnosis is constructed by combining the hidden Markov model and empirical mode decomposition method,which extracts the characteristics of data processed by empirical mode decomposition and enters the hidden Markov model to train the hidden Markov model for fault diagnosis.This method is used for fault diagnosis of rolling bearings and good results are obtained.（3）Prediction of two-level imperfect maintenance time of equipment.In this paper,the Weibull distribution parameters are solved by using the actual fault data of the machine tool,and the running state parameters of the equipment are obtained.On the basis of determining the equipment status,predict the maintenance time series corresponding to the equipment.The two-level preventive maintenance optimization model of equipment is constructed by using equipment failure rate factor and reliability factor.Through the analysis of the case machine tool,the optimal pre maintenance time and corresponding maintenance level of the machine tool are obtained.On the basis of determining that the equipment can be subject to advanced maintenance,this paper studies the failure mode and hazard degree of each system of the equipment,analyzes the influence of Equipment Remanufacturing time,cost and equipment informatization demand on remanufacturing,and defines the case machine tool remanufacturing system.This paper considers the problem of equipment health management in the development and construction stage of intelligent factory,establishes the overall architecture of equipment health management and operation and maintenance service in intelligent factory,and completes the research on key problems such as equipment fault diagnosis,equipment two-level imperfect maintenance time prediction and machine tool remanufacturing and upgrading selection process,which provides a reference for the health management of production equipment in intelligent factory.