Research On Typical Damage Diagnosis And Prediction Of Pressure Equipment Based On Data Mining

As the infrastructure of people’s production and life,special pressure equipment is widely used in various industries.While promoting the national economic construction and bringing great convenience to people’s life,the particularity and high risk of pressure equipment also bring great potential risks to personnel safety,enterprise production and social stability.Therefore,in order to ensure the safe operation of equipment,it is of great practical significance to carry out the research on damage diagnosis of pressure equipment.In recent years,with the increasing maturity of data mining technology,using a large number of equipment damage detection data to establish prediction models to diagnose and predict damage modes such as corrosion of pressure equipment,so as to improve the intelligent level of typical equipment damage prevention and control,has become a new trend of research and development in the future.By analyzing the shortcomings of current research on damage diagnosis of pressure equipment and the application advantages of data mining in various fields,this paper proposes to carry out the diagnosis and prediction research of two typical damage of equipment corrosion and spheroidization based on data mining algorithm.The main research work is summarized as follows:(1)In order to solve the problem that the traditional corrosion diagnosis process depends on expert experience and is easily affected by subjective factors,a comprehensive prediction model of equipment corrosion based on RF algorithm is proposed.Based on the historical test data of several sets of atmospheric and vacuum units,the model is predicted and verified.The results show that the RF model can effectively identify the key corrosion mechanism of tower equipment in atmospheric and vacuum units,and the accuracy can reach 86%.On this basis,the corrosion state of the equipment is evaluated,and after PSO super-parameter optimization,the prediction accuracy of PSO-RF model for equipment corrosion type and corrosion degree is more than 92%,which effectively proves the accuracy and stability of the application of the equipment corrosion comprehensive model.(2)In view of the complexity of existing spheroidization damage determination methods and difficulties in engineering application,a spheroidization grade prediction model based on SVM algorithm is proposed.Taking the equipment spheroidization test data of 12Cr1 MoV as an example,the model is verified,and the results show that the prediction accuracy of the model is as high as 91%.Through multi-angle feature analysis and artificial reduction of data features combined with the actual situation,and optimized by DE algorithm,the prediction accuracy of DE-SVM model can reach 83.8%.This shows that without traditional detection and test methods such as sampling analysis,material spheroidization grade can also be quickly predicted by data model.(3)Combined with the comprehensive diagnosis model of equipment corrosion and the spheroidization grade judgment model of equipment materials,the engineering application is carried out to test the practicability and engineering value of the above research.By collecting and collating the relevant data of the in-service equipment of the atmospheric and vacuum unit in the enterprise,the PSO-RF model is applied to identify the corrosion pattern and predict the corrosion state of the equipment in turn.Six equipment are randomly selected for on-site inspection,verification and provide equipment maintenance suggestions.The results show that the prediction results of the model are basically consistent with the actual test results,and the prediction results and related measures have good guiding significance.The spheroidization damage of the heating furnace equipment in the atmospheric and vacuum unit is determined by using the DE-SVM model,and the actual spheroidization of the equipment is further evaluated with reference to the field inspection results.Finally,according to the characteristics of spheroidization damage,the equipment risk assessment criteria based on spheroidizing grade and creep damage are established to provide corresponding suggestions and measures for the follow-up maintenance of spheroidization equipment.