Priori knowledge-based method for monitoring fault of magnesite electric melting furnace by kernel flexible manifold embedding

Abstract

The invention discloses a priori knowledge-based method for monitoring a fault of a magnesite electric melting furnace by kernel flexible manifold embedding, and belongs to the technical field of fault detection and diagnosis. The method comprises the steps of performing fault type marking on partial data in a historical data set of a running process of the magnesite electric melting furnace; mapping historical data to a high-dimensional space; building an optimization model capable of obtaining a fault prediction matrix, and calculating the fault prediction matrix by utilizing the historical data set comprising marking data; and obtaining monitoring data of the magnesite electric melting furnace in real time, calculating a fault monitoring matrix by utilizing the historical data and the fault prediction matrix, and obtaining a fault type of the monitoring data. According to the method, priori knowledge is converted into knowledge identifiable for a machine, so that the magnesite electric melting furnace can safely and robustly run even if old workers are not on site; a regression residual matrix is added to the fault prediction matrix, so that a prediction matrix model is more flexible and better in generalization ability; and the kernel flexible manifold embedding method is used, so that data disasters caused by excessively high data dimension are avoided, and processing and fault diagnosis of a nonlinear system are realized.

Description

technical field [0001] The invention belongs to the technical field of fault detection and diagnosis, and in particular relates to a fault monitoring method for a nuclear flexible manifold embedded in a fused magnesium furnace based on prior knowledge. Background technique [0002] Fused magnesia is an important refractory material widely used in chemical, aerospace, metallurgy and other fields. In my country, three-phase AC fused magnesia furnaces are mainly used to produce fused magnesia. The fused magnesium furnace is actually a submerged arc furnace, which belongs to the submerged arc furnace rather than the electric arc furnace. It mainly uses the resistance heat of the material generated by the current passing through the material in the molten state as the main heat source, accompanied by arc heat, and its heat Concentration can effectively heat the material to a melting point above 2800°C, which is beneficial to smelting fused magnesia. The overall equipment of the ...

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Problems solved by technology

[0005] In the production process, experienced workers can ensure safe production and obtain high-quality products. However, it is difficult for ordinary workers to achieve such production effects. Therefore, how to use the experience and knowledge of experienced workers to realize industrial production monitoring , has become an important research direction

In the past few years, many process monitoring algorithms have been proposed, but these algorithms do not make full use of the experience and knowledge of old workers to realize the actual industrial process monitoring.

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