Method for monitoring process of fused magnesium furnace based on improved supervised kernel locally linear embedding method

Abstract

The invention provides a method for monitoring the process of a fused magnesium furnace based on an improved supervised kernel locally linear embedding method, and relates to the technical field of fault monitoring and diagnosis. The method includes the steps of mapping sample data X to a high dimensional feature space [phi](X) by using a kernel function; selecting the number of k neighbor points through a MKSLLE (Modified supervised kernel locally linear embedding) algorithm, and adding a regular term when constructing a reconstruction weight matrix; performing dimensionality reduction for an objective function composed of a KPCA-combined global preserving features and local preserving features, and obtaining a mapping matrix from a high dimensional data space to a low dimensional feature space and a coefficient matrix through approximate calculation; and constructing a Hotelling T2 statistic and an SPE statistic and determining control limits thereof. According to the invention, abnormalities and faults can be monitored online in real time in the working process of a fused magnesium furnace, the accuracy of fault monitoring is effectively improved, the occurrence of false alarms and false negatives is reduced, the property loss is reduced, and the personal safety of working staff is guaranteed.

Description

technical field [0001] The invention relates to the technical field of fault monitoring and diagnosis, in particular to a process monitoring method for an electric fused magnesium furnace based on an improved supervisory kernel local linear embedding method. Background technique [0002] At present, the industrial fused magnesia furnace is mainly used to produce fused magnesia. The production process is to first break the solid fused magnesia into powder, then add it to the fused magnesia furnace, insert the electrode, and mainly rely on the arc heat of the electrode after power on. Melt the fused magnesia, lift out the electrode after smelting, wait until the fused magnesia cools, move it out of the fused magnesia furnace, and carry out natural crystallization. The overall composition and working principle of the fused magnesium furnace equipment are as follows: figure 1 shown. At present, the degree of automation in the smelting process of fused magnesium furnaces in my ...

AI Technical Summary

Problems solved by technology

If k is selected too small, it is difficult to ensure the overall geometric properties of the data. On the contrary, points far apart in the manifold space may be selected as neighbors, thus distorting the dimensionality reduction results.

When the sample is a small sample, improper selection of neighborhood data will make the correlation between the data worse and the data will be distorted; the traditional supervised kernel local linear embedding algorithm (supervised kernel locally linear embedding, SKLLE) only considers the local structure information of the data , but ignores the global structure of the data, points that are not adjacent in high-dimensional space should not be adjacent in low-dimensional space

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