Research on soft-sensing method of critical components performance indexes for heavy duty gas turbine

HU Mengqi; XIAO Junfeng; WU Changbing; ZHOU Gang; XIANG Dong; WANG Ke; ZHAO Siyong; GE Xiaoming; LIU Yin; XIA Lin; LIAN Xiaolong; WANG Yifeng

doi:10.19666/j.rlfd.202201006

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Research on soft-sensing method of critical components performance indexes for heavy duty gas turbine

更新时间：2025-09-28

- Research on soft-sensing method of critical components performance indexes for heavy duty gas turbine
- Thermal Power Generation Vol. 51, Issue 7, Pages: 80-86(2022)
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 华能重庆两江燃机发电有限责任公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202201006
  CLC： TK477
- Published：2022
- 稿件说明：
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HU Mengqi, XIAO Junfeng, WU Changbing, et al. Research on soft-sensing method of critical components performance indexes for heavy duty gas turbine[J]. Thermal power generation, 2022, 51(7): 80-86.
DOI：

HU Mengqi, XIAO Junfeng, WU Changbing, et al. Research on soft-sensing method of critical components performance indexes for heavy duty gas turbine[J]. Thermal power generation, 2022, 51(7): 80-86. DOI： 10.19666/j.rlfd.202201006.

摘要

燃气轮机压气机效率、燃烧效率、透平效率、燃烧室出口温度等综合性指标或参数的准确辨识是燃气轮机效能监测与劣化致因诊断技术的关键之一，但这些综合性指标或参数往往无法直接测量。建立了基于热力学原理的燃气轮机关键部件效能软测量模型并验证了模型的准确性，实现了上述综合性指标或参数的准确软测量。在此基础上，基于历史运行数据对某型F级燃气轮机的关键部件效能参数进行了辨识并分析了其劣化程度。结果表明：对于常年调峰运行、启停频繁的机组，透平等高温部件效率劣化程度相比压气机等冷端部件更为严重，建议在停机检修时对透平等高温部件的健康状态予以特别关注。该研究结果可为适时开展燃气轮机状态检修提供理论参考。

Abstract

The key to performance monitoring and deterioration diagnosing technologies of gas turbine lies in accurate identifications of the efficiencies of compressor

combustor

and turbine

as well as combustor outlet temperature

which cannot be directly measured but are particularly important. Based on thermodynamic principles

the energy efficiency soft-sensing model for critical components of gas turbine is established

and the accuracy of the model is verified

to realize accurate soft measurement of the above-mentioned comprehensive indicators or parameters. On this basis

according to the historical operation data of an F-class gas turbine

the performance parameters of the key components are identified and the deterioration degrees are analyzed. The results demonstrated that

for gas turbines with peak-clipping operations and frequent start-ups and shutdowns

the deterioration degrees of high-temperature components

such as turbine

are more serious than those of lowtemperature ones

such as the compressor. Therefore

the health status of high-temperature components require careful attention during shutdown maintenances. The proposed model and method can provide theoretical references and effective recommendations for timely condition maintenances of heavy-duty gas turbines.

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