A Blast Furnace Fault Detection Method Based on Optimal Extreme Learning Machine

Abstract

The invention proposes a blast furnace fault detection method based on an optimized extreme learning machine, which belongs to the technical field of blast furnace fault detection. The invention optimizes the input weight and hidden layer threshold in the ELM through the ABC algorithm to establish a reasonable and effective classification model; based on Tent The mapping uses a chaotic reverse learning strategy to generate a uniformly distributed initial group to improve the quality of the initial solution and increase the stability of the method; an adaptive search strategy is used to achieve the best balance between global search and local search; through Tent Chaos The local search strategy jumps out of the local optimal solution; the invention improves the convergence speed and optimization accuracy of the ABC algorithm, improves the classification accuracy of the blast furnace fault detection, increases the probability of generating new solutions, avoids falling into the local optimal solution, and ensures the accuracy of the algorithm The direction of rapid evolution improves the local search ability of the algorithm to a certain extent while ensuring the global search ability.

Description

technical field [0001] The invention belongs to the technical field of blast furnace fault detection, and in particular relates to a blast furnace fault detection method based on an optimized extreme learning machine. Background technique [0002] In iron and steel enterprises, the blast furnace ironmaking production is in the leading and important position, and the energy consumption accounts for about 60%. Once a failure occurs, it will cause huge losses of personnel and property; therefore, realize the intelligent, automatic, timely and accurate fault detection process Accurately detect and predict the abnormal state of the blast furnace ironmaking production process, which can not only reduce accidents, ensure stable and reliable production operation, but also reduce production management costs and improve product quality; Enterprise competitiveness is of great significance; blast furnace smelting is a complex continuous production process. Parameters such as , oxygen e...

AI Technical Summary

Problems solved by technology

The ABC algorithm has a strong global search ability, but the local optimization ability is weak, and the convergence speed is slow in the later stage of evolution.

Images