Process Monitoring Method for Fused Magnesium Furnace Based on Improved Supervisory Kernel Local Linear Embedding Method

Abstract

The invention provides a process monitoring method for an electric fused magnesium furnace based on an improved supervisory kernel local linear embedding method, and relates to the technical field of fault monitoring and diagnosis. This method uses a kernel function to map sample data X to a high-dimensional feature space Φ(X); selects k nearest neighbor points through the MKSLLE (Modified supervised kernel locally linear embedding) algorithm, and adds a regular term when constructing the reconstruction weight matrix ; Dimensionality reduction is performed on the objective function composed of KPCA's global preservation features and its own local preservation features, and the mapping matrix and coefficient matrix from the high-dimensional data space to the low-dimensional feature space are obtained through approximate calculations; the Hotelling T is constructed 2 statistics and SPE statistics and determine their control limits. The invention can monitor the abnormalities and faults in the working process of the fused magnesium furnace in real time, effectively improve the accuracy of fault monitoring, reduce the occurrence of false alarms and missed alarms, avoid property losses, and ensure the life safety of staff.

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 locally linear embedding algorithm (supervised kernel locally linear embedding, SKLLE) only considers the local Structural information, 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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