KPCA-based fused magnesium furnace fault diagnosis method for fault separation and reconstruction

A technology for fused magnesium furnaces and fault diagnosis, which is applied in electrical testing/monitoring, instruments, control/regulation systems, etc., and can solve problems such as failure to achieve satisfactory fault reconstruction

Inactive Publication Date: 2015-09-09
NORTHEASTERN UNIV
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Problems solved by technology

[0006] In addition, in the actual industrial process, the variables often show nonlinear characteris

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  • KPCA-based fused magnesium furnace fault diagnosis method for fault separation and reconstruction
  • KPCA-based fused magnesium furnace fault diagnosis method for fault separation and reconstruction
  • KPCA-based fused magnesium furnace fault diagnosis method for fault separation and reconstruction

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Embodiment Construction

[0061] An embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0062] Three types of data are involved in the specific implementation method. The first type of data is 200 normal sampling data, called normal historical data X; Historical fault data, collectively referred to as historical normal data, in the following steps, for the convenience of calculation, use X f Indicates that the corresponding value is brought into the specific calculation; the third category is the test data that fails during online monitoring x new , which is the sampling data of the actuator failure at a certain moment, divided into two categories, test data 1 and test data 2, each containing 200 sampling data. Among them, fault 1 and fault 2 are both caused by the abnormality of the actuator. The first two types of data are used to establish a fault separation and reconstruction model. This model will diagnose the fault of the third t...

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Abstract

The invention provides a KPCA-based fused magnesium furnace fault diagnosis method for fault separation and reconstruction. The method comprises the following steps: acquiring historical normal data of a fused magnesium furnace, historical fault data when the fused magnesium furnace generates a fault, and test data when a fault occurs in online monitoring; performing preprocessing on the historical normal data of the fused magnesium furnace and the historical fault data; performing high-dimension mapping and then PCA decomposition on the historical normal data of the fused magnesium furnace by use of a nucleus principal component analytical method; and performing diagnosing and fault reconstruction on the test fault data when the fault occurs in the online monitoring by use of a fault load vector set, determining a fault type, and recovering the fault data to corresponding normal data so that the fault is eliminated. According to the method provided by the invention, the fault separation and reconstruction problems of non-linear data of the fused magnesium furnace are solved, the test data when the fault occurs in the online monitoring can be monitored, only a fault model corresponding to a current fault can correctly remove fault information in the data, based on this, the fault type can be determined, and the purpose of fault separation is realized.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of an electric fused magnesium furnace, in particular to a fault diagnosis method for an electric fused magnesium furnace based on KPCA for fault separation and reconstruction. Background technique [0002] Fault reconstruction technology is an important step in fault diagnosis. The purpose of fault reconstruction is to find the normal data corresponding to the fault value when a fault occurs in the production process. If the actual fault direction is known, the fault can be further analyzed, including recovering non-fault data and fault amplitude estimation. [0003] Fused magnesia is an important refractory material widely used in metallurgy, chemistry, aerospace and other industries, and fused magnesia furnace is its main production equipment. The equipment mainly includes: transformer 1, circuit short network 2, electrode lifting device, electrode, furnace body, etc. The basic worki...

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0281
Inventor 张颖伟范云鹏栗振杰冯玮
Owner NORTHEASTERN UNIV
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