Data mining-based slag grinding system health state identification system and method

Abstract

The invention discloses a data mining-based slag grinding system health state identification system and method. According to the data mining-based slag grinding system health state identification system and method of the invention, a comprehensive feature screening method is utilized to carry out mining analysis on working condition data so as to obtain key parameters which affect the stability of a vertical mill, and the key parameters are adopted as indicators of vertical mill health state assessment; based on the identified indicators of the vertical mill health state assessment, clustering and mining analysis is performed on working condition states, so that the features of various of working condition clusters are obtained; the state distribution conditions of historical working conditions are obtained, and operating state categories in the historical working conditions are defined; and the ARIMA algorithm is adopted to train a model for determined feature values in a vertical mill health state feature acquisition module, and the change trend of parameters is predicted, and a prediction value is utilized to assist state identification. The data mining-based slag grinding system health state identification system and method of the invention have the advantages of high recognition precision, great generalization ability and high performance, and is suitable for the health state identification and diagnosis of a slag grinding system.

Description

technical field [0001] The invention relates to the identification and diagnosis of the health status of the slag grinding system, in particular to a system and method for identifying the health status of the slag grinding system based on data mining. Background technique [0002] The vertical mill is a kind of equipment used to grind large particles of slag and other materials into fine particles. It mainly grinds waste slag produced in building materials, chemical industry, steel and other industries to realize the reuse of waste slag. The fine powder obtained by grinding is usually used as Raw materials for cement production. However, the process of slag grinding system is complex, the working environment is harsh, and the system often has various failures due to long-term high-load operation. The chain reaction of the control system will cause the entire production line to stop running, which in turn leads to the inefficiency of the production line. Therefore, it is urg...

AI Technical Summary

Problems solved by technology

The fuzzy neural network prediction method is a prediction model based on fuzzy reasoning to continuously train the weights of the neural network. The method uses fuzzy theory to deal with nonlinear problems. It has strong adaptability, but requires expert knowledge and poor portability.

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