Identification and fault diagnosis of an industrial gas turbine prototype model

被引：0

作者：

Simani, S ^{[1
]}

Patton, RJ ^{[1
]}

Daley, S ^{[1
]}

Pike, A ^{[1
]}

机构：

[1] Univ Ferrara, Dipartimento Ingn, I-44100 Ferrara, Italy

来源：

PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2000年

关键词：

fault diagnosis; analytical redundancy; model-based approach; system identification; industrial gas turbine;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses a model-based procedure exploiting analytical redundancy for the detection and isolation of faults of a power plant. The residual generation is performed by means of output observers and Kalman filters in connection with the uncertainty affecting the measurements acquired from the monitored system. The model of the process under investigation required to design observers and filters is obtained by identification The proposed fault detection and isolation tool has been tested on a simulated model of an industrial gas turbine prototype.

引用

页码：2615 / 2620

页数：6

共 50 条

[41] Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks [J].

Zhou, Dengji ;

Yao, Qinbo ;

Wu, Hang ;

Ma, Shixi ;

Zhang, Huisheng .

ENERGY, 2020, 200

[42] Fault Diagnosis of Industrial Wind Turbine Blade Bearing Using Acoustic Emission Analysis [J].

Liu, Zepeng ;

Wang, Xuefei ;

Zhang, Long .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (09) :6630-6639

[43] A Marine Gas Turbine Fault Diagnosis Method Based on Endogenous Irreversible Loss [J].

Cao, Yunpeng ;

Luan, Junqi ;

Han, Guodong ;

Lv, Xinran ;

Li, Shuying .

ENERGIES, 2019, 12 (24)

[44] Fault Diagnosis for Gas Turbine Rotor Using Actor-Critic Network [J].

Cui, Yingjie ;

Wang, Hongjun .

PROCEEDINGS OF TEPEN 2022, 2023, 129 :923-935

[45] Study on Flue Gas Turbine Fault Diagnosis Technology Based on EMD and VPRS [J].

Wang, Hongjun ;

Wang, Hongfeng .

PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT, 2009, :813-+

[46] Fault diagnosis method for blade fracture of gas turbine based on casing vibration [J].

Hu, Ming-Hui ;

Jin, Bao-teng ;

Liu, Shao-Peng ;

Wang, Wei-Min ;

Jiang, Zhi-Nong ;

Zhang, Xiao-Yang ;

Gao, Jin-ji .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 234

[47] A Comparative Research Based on Three Different Algorithms for Fault Diagnosis in Gas Turbine [J].

Yuan Bo ;

Xia Fei ;

Wang Zhi-cheng ;

Tie Hai-feng .

2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, :605-610

[48] GAS TURBINE GAS-PATH FAULT DIAGNOSIS BASED ON DECISION FUSION OF MODEL-BASED AND DATA-DRIVEN METHODS [J].

Cheng, Xianda ;

Zheng, Haoran ;

Dong, Wei .

PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 4, 2024,

[49] Semi-Supervised Prototype Networks With Similarity Information Selection for Fault Diagnosis of Wind Turbine Gearboxes [J].

Huang, Qingqing ;

Li, Chao ;

Han, Yan ;

Shang, Jiazhe ;

Zhang, Yan .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74

[50] Twin prototype networks with noisy label self-correction for fault diagnosis of wind turbine gearboxes [J].

Liu, Xiaoli ;

Tang, Baoping ;

Li, Qikang ;

Yang, Qichao .

MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 34 (03)

← 1 2 3 4 5 →