Heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation

A heterogeneous data and fault detection technology, applied in electrical testing/monitoring, etc., can solve problems such as ignoring big data connections, losing the advantages of big data, and easily losing image structure information

Active Publication Date: 2019-06-14
NORTHEASTERN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, the existing research results are limited to separate modeling and diagnosis of physical variable data and multimedia heterogeneous data, which ignores the inevitable connection between big data a

Method used

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  • Heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation
  • Heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation
  • Heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation

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Embodiment Construction

[0073] The invention will be further described below in conjunction with the accompanying drawings and specific implementation examples. The structure of the electrolytic magnesium furnace is as attached figure 1 As shown, it includes: a transformer 1, a short network 2, an electrode lifting device 3, an electrode 4, a furnace shell 5, a car body 6, an electric arc 7, and a charge 8. The electric melting magnesium furnace 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, and is accompanied by arc heat. Its heat concentration can effectively heat the material to the melting point above 2800 ° C, which is conducive to melting and electric melting Magnesia.

[0074] The present invention is based on the collaborative modeling manifold dimensionality reduction electrolytic magnesium furnace fault monitoring method, such as figure 2 shown, including the following steps:

[0075] Step...

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Abstract

The invention provides a heterogeneous data cooperative modelling industrial fault detection method based on neighborhood projection preservation, and belongs to the technical field of the fault monitoring and diagnosis. The method comprises the specific steps as follows: collecting N groups of current and image data; solving a structure weight coefficient of each image data; establishing a current neighborhood projection map dovetailing matrix; rejecting the data greater than the current neighborhood weight threshold, and performing normalization; constructing a target function, and solving aprojection vector optimal solution by using a manifold dimension reduction method; performing dimension reduction on the image data produced in the electrolytic magnesium process after graying; and performing fault detection on the dimension-reduced image data by using a SVM classification method. A heterogeneous data modelling problem is mainly solved, the fault detection is performed when the image information and the current information are combined, a process monitoring result for the method shows that the false alarm is greatly reduced, and the accuracy of the fault detection is furtherimproved.

Description

technical field [0001] The invention belongs to the technical field of fault monitoring and diagnosis, and in particular relates to an industrial fault detection method based on collaborative modeling of heterogeneous data maintained by neighborhood projection. Background technique [0002] Large crystal fused magnesium is made of pure natural light-burned magnesium powder through ultra-high temperature electric melting and firing. Due to the characteristics of stable physical and chemical properties, large crystal fused magnesium has become an excellent high-temperature electrical insulation material, which is mainly used in metallurgy, chemical industry, electrical appliances, aerospace and national defense and other industrial fields. Ultra-high temperature metallurgy products are a major demand for China's industrial development. Compared with the low-temperature industrial process, the ultra-high temperature smelting process is more complicated, and the production cond...

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Application Information

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IPC IPC(8): G05B23/02
Inventor 郑肇默张颖伟付元建
Owner NORTHEASTERN UNIV
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