红外技术2025，Vol.47Issue(2)：226-234,9.
基于QPSO的轴承热处理炉传热反演分析算法
Heat Transfer Inversion Analysis Algorithm for Bearing Heat Treatment Furnace Based on QPSO
孙博君 1麻健鹏 1孙慧霖 1白晓峰2
作者信息
- 1. 中国航发哈尔滨轴承有限公司,黑龙江 哈尔滨 150500
- 2. 哈尔滨工业大学,黑龙江 哈尔滨 150001
- 折叠
摘要
Abstract
This article addresses the lack of heat transfer inversion analysis algorithms for current-bearing heat treatment furnaces.A one-dimensional unsteady heat conduction equation is used as the heat transfer mathematical model,and the quantum particle swarm stochastic optimization algorithm(QPSO)is employed to invert the heat transfer coefficient in the inverse heat conduction problem(IHCP)with the addition of random noise.In algorithm simulation experiments,the QPSO optimization algorithm exhibited high accuracy in solving the inverse problem of heat conduction.Meanwhile,with the addition of the wavelet filtering algorithm,the noise resistance of the inversion algorithm was significantly improved.关键词
轴承热处理炉/量子粒子群算法/热传导反问题/小波滤噪Key words
bearing heat treatment furnace/QPSO/IHCP/wavelet denoising分类
数理科学引用本文复制引用
孙博君,麻健鹏,孙慧霖,白晓峰..基于QPSO的轴承热处理炉传热反演分析算法[J].红外技术,2025,47(2):226-234,9.
