Strip steel quality forecasting, furnace condition early-warning and fault diagnosis method based on partial least square

Abstract

The invention relates to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method, in particular to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method based on partial least square, comprising the following steps: model selection: multiple models are adopted to describe the process characteristics of corresponding steel types; data preprocessing: data alignment based on the model is carried out, synchronization relation of process input and quality output is built and data dimensionless treatment is carried out to eliminate effect of process data on modeling precision owning to non-unity of physical units; an off-line model building; a PLS (partial least square) model for strip steel quality and process variable is built by utilizing a great amount of historical data in normal working conditions; determining control limit of an monitor-control index; determining variable quantity control limit; and on-line forecasting and on-line detection and fault diagnosis. In the invention, the model for the strip steel quality and the process variable is built by PLS algorithm, so as to realize real-time quality forecasting, process monitoring and fault diagnosis.

Description

technical field [0001] The invention relates to a strip steel quality control method, in particular to a strip steel quality prediction, furnace condition early warning and fault diagnosis method. Background technique [0002] In the cold rolling continuous annealing unit, the annealing furnace is one of the important equipment. Annealing is a heat treatment process that heats the strip steel to an appropriate temperature, keeps it warm for a certain period of time, and then cools it slowly to obtain a state close to equilibrium. The essence of annealing, for eutectoid steel and hypereutectoid steel, is the process of pearlite transformation after austenitization; for hypoeutectoid steel, it is the process of pearlite transformation after austenitic transformation process. [0003] By annealing, it is possible to achieve: [0004] (1) Eliminate the composition segregation of steel and make the composition homogeneous; [0005] Intragranular segregation due to dendrite cr...

AI Technical Summary

Problems solved by technology

The off-line experimental analysis usually has a certain time lag, which makes it possible to obtain the specific quality of the strip steel only after it has been produced for a period of time.

The existence of this problem not only makes it difficult to realize the real-time monitoring of strip steel quality, but also brings certain difficulties to find fault factors, which seriously limits the improvement of strip steel product quality and pass rate.

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