基于WOA-NM混合反演的燃气轮机叶片辐射测温方法

By employing an adaptive WOA-NM hybrid inversion method, which combines global and local search strategies, the problem of radiation temperature measurement of gas turbine blades under multi-source interference environments was solved. This method achieves high-precision inversion of blade surface temperature and roughness, improves temperature measurement accuracy and robustness, and provides reliable technical support for engine thermal management and life prediction.

CN122047000BActive Publication Date: 2026-07-17HARBIN ENGINEERING UNIVERSITY SANYA NANHAI INNOVATION & DEVELOPMENT BASE +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN ENGINEERING UNIVERSITY SANYA NANHAI INNOVATION & DEVELOPMENT BASE
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for measuring radiation temperature of gas turbine blades are prone to getting trapped in local optima, have insufficient convergence accuracy, and poor robustness under multi-source interference environments, making it difficult to achieve accurate measurements under high temperature and high pressure conditions.

Method used

An adaptive WOA-NM hybrid inversion method is adopted, which uses an improved Whale Optimization (WOA) algorithm for global search and Nelder-Mead simplex method (NM) for local fine search. It utilizes adaptive normalization of heterogeneous signal kernel density and three-dimensional weighted principal and auxiliary feature mining to achieve efficient global exploration and local fine search.

Benefits of technology

It significantly improves the accuracy and reliability of radiation temperature measurement of gas turbine blades, enabling high-precision inversion of blade surface temperature and roughness under complex operating conditions, avoiding measurement errors of traditional methods, and providing a reliable tool for thermal management and life prediction.

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Abstract

本发明提出基于WOA‑NM混合反演的燃气轮机叶片辐射测温方法，属于多光谱辐射测温技术领域，解决了燃气轮机涡轮叶片在多源干扰环境下，现有辐射测温反演方法存在易陷入局部最优、收敛精度不足、鲁棒性差的问题。本发明构建涡轮叶片辐射传输正向模型，以最小二乘误差建立反演优化问题；采用改进WOA算法全局迭代搜索，基于种群多样性与收敛停滞智能切换NM单纯形法局部精细化寻优，最终输出叶片温度与粗糙度反演结果，适配多源干扰工况。本发明能解决燃气轮机叶片多源干扰下的测温难题，避免反演陷入局部最优，兼顾全局探索与局部精细化寻优，可精准反演温度和粗糙度参数，提升反演精度与鲁棒性，适配高温复杂工况。
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Citation Information

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