重型燃机压气机试验状态在线检测技术

王欣; 黄单; 彭生红; 董满收; 周晟鋆

doi:10.13224/j.cnki.jasp.20230589

重型燃机压气机试验状态在线检测技术

doi: 10.13224/j.cnki.jasp.20230589

中国联合重型燃气轮机技术有限公司，上海 200131

详细信息

作者简介:
王欣（1975-），男，高级工程师，主要从事重型燃气轮机总体与试验技术研究

通讯作者:
彭生红（1978-），男，研究员，博士生，主要从事重型燃气轮机压气机试验技术研究。E-mail：psh-305@163.com

中图分类号: V241.1
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- 被引次数: 0
出版历程
- 收稿日期: 2023-09-13
- 网络出版日期: 2023-10-12

Research on online detection of test status for heavy gas turbine compressors

China United Gas Turbine Technology Company Limited，Shanghai 200131，China

摘要

摘要:
针对重型燃气轮机压气机部件质量重、空气流量大、转速高、试验风险高等特点，开展重型燃气轮机压气机部件试验状态双余度模式在线检测技术研究。通过分析压气机试验不稳定工作状态参数特征，设计基于时频-小波辨识算法，研制出具有国内自主知识产权的重型燃气轮机压气机部件试验状态双余度模式在线检测系统，解决试验过程缺乏有效安全自动检测的技术难题。该系统相对于国内同类产品，能够更可靠、准确、及时地检测到压气机试验不稳定工作状态动态特征信号，辨识系统响应时间优于50 ms，具备对重型燃气轮机压气机部件试验状态在线预警能力。
- 双余度模式 /
- 不稳定工作状态 /
- 信号提取 /
- 小波分析 /
- 响应时间
Abstract:
Based on the characteristics of heavy gas turbine compressor components, such as heavy weight, large air flow, high rotating speed, and high test risk, research on the online detection technology of double-redundancy-model for heavy gas turbine compressor components’ test status was carried out. By analyzing parameter characteristics of unstable operating status in compressors test, designing identification algorithm based on time-frequency and wavelet analysis, a double-redundancy-model online detection system for heavy gas turbine compressors’ test status was developed with domestic independent intellectual property rights, then the technological problem of effective safety automatic detection in the test process was solved. Compared with similar domestic products, the system can detect the dynamic characteristic signal of unstable operating status for compressors test more reliably, accurately and timely, and identify response time of the system within 50 ms. The research can provide the ability of on-line pre-warning of the test status for heavy gas turbine compressor components.
- double redundancy model /
- unstable operating status /
- signal extract /
- wavelet analysis /
- response time

HTML

图 1 压气机不稳定工作状态参数变化时域图

Figure 1. History of parameter changes in compressors’ unstable working status

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图 2 时频-小波判定方法流程图

Figure 2. Flow chart of time-frequency and wavelet analysis

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图 3 判定算法实时计算原理

Figure 3. Principle of real-time computation to judging algorithm

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图 4 某压气机实时特征提取方法分析

Figure 4. Analysis of real time feature extraction method for the compressor

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图 5 某压气机分析窗口时长影响分析

Figure 5. Influence of analysis window duration for the compressor

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图 6 某压气机更新窗口时长影响分析

Figure 6. Influence of updating window duration for the compressor

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图 7 系统构建原理框图

Figure 7. Principle of the system

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图 8 同一位置测试探针对称安装传感器

Figure 8. Installing sensors symmetrically with testing probe at the same position

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图 9 检测系统硬件集成

Figure 9. Hardware integration of detection system

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图 10 压气机转速H_s=40%失稳时系统判别对比图

Figure 10. Comparison chart of system discrimination while instability to the compressor H_s=40%

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图 11 压气机转速H_s=60%失稳时系统判别对比图

Figure 11. Comparison chart of system discrimination while instability to the compressor H_s=60%

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图 12 系统触发报警响应间隔时间

Figure 12. Response interval time of systems alarm

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