A Gas Path Fault Contribution Matrix for Marine Gas Turbine Diagnosis Based on a Multiple Model Fault Detection and Isolation Approach

Qingcai Yang, Shuying Li, Yunpeng Cao, Fengshou Gu, Ann Smith

Research output: Contribution to journalArticle

Abstract

To ensure reliable and efficient operation of gas turbines, multiple model (MM) approaches have been extensively studied for online fault detection and isolation (FDI). However, current MM-FDI approaches are difficult to directly apply to gas path FDI, which is one of the common faults in gas turbines and is understood to mainly be due to the high complexity and computation in updating hypothetical gas path faults for online applications. In this paper, a fault contribution matrix (FCM) based MM-FDI approach is proposed to implement gas path FDI over a wide operating range. As the FCM is realized via an additive term of the healthy model set, the hypothetical models for various gas path faults can be easily established and updated online. In addition, a gap metric analysis method for operating points selection is also proposed, which yields the healthy model set from the equal intervals linearized models to approximate the nonlinearity of the gas turbine over a wide range of operating conditions with specified accuracy and computational efficiency. Simulation case studies conducted on a two-shaft marine gas turbine demonstrated the proposed approach is capable of adaptively updating hypothetical model sets to accurately differentiate both single and multiple faults of various gas path faults.

LanguageEnglish
Article number3316
Pages1-21
Number of pages21
JournalEnergies
Volume11
Issue number12
DOIs
Publication statusPublished - 1 Dec 2018

Fingerprint

Fault Detection and Isolation
Gas Turbine
Multiple Models
Fault detection
Gas turbines
Fault
Path
Gases
Gap Metric
Model Updating
Gas
Differentiate
Model
Computational Efficiency
Range of data
Updating
Computational efficiency
Nonlinearity
Interval
Term

Cite this

@article{8911c28a1e96457ea05aaf68f2b6594e,
title = "A Gas Path Fault Contribution Matrix for Marine Gas Turbine Diagnosis Based on a Multiple Model Fault Detection and Isolation Approach",
abstract = "To ensure reliable and efficient operation of gas turbines, multiple model (MM) approaches have been extensively studied for online fault detection and isolation (FDI). However, current MM-FDI approaches are difficult to directly apply to gas path FDI, which is one of the common faults in gas turbines and is understood to mainly be due to the high complexity and computation in updating hypothetical gas path faults for online applications. In this paper, a fault contribution matrix (FCM) based MM-FDI approach is proposed to implement gas path FDI over a wide operating range. As the FCM is realized via an additive term of the healthy model set, the hypothetical models for various gas path faults can be easily established and updated online. In addition, a gap metric analysis method for operating points selection is also proposed, which yields the healthy model set from the equal intervals linearized models to approximate the nonlinearity of the gas turbine over a wide range of operating conditions with specified accuracy and computational efficiency. Simulation case studies conducted on a two-shaft marine gas turbine demonstrated the proposed approach is capable of adaptively updating hypothetical model sets to accurately differentiate both single and multiple faults of various gas path faults.",
keywords = "Gas turbine, Gas path fault, Fault detection and isolation, Multiple model;, Gap metric analysis",
author = "Qingcai Yang and Shuying Li and Yunpeng Cao and Fengshou Gu and Ann Smith",
year = "2018",
month = "12",
day = "1",
doi = "10.3390/en11123316",
language = "English",
volume = "11",
pages = "1--21",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",

}

A Gas Path Fault Contribution Matrix for Marine Gas Turbine Diagnosis Based on a Multiple Model Fault Detection and Isolation Approach. / Yang, Qingcai ; Li, Shuying; Cao, Yunpeng; Gu, Fengshou; Smith, Ann.

In: Energies, Vol. 11, No. 12, 3316, 01.12.2018, p. 1-21.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A Gas Path Fault Contribution Matrix for Marine Gas Turbine Diagnosis Based on a Multiple Model Fault Detection and Isolation Approach

AU - Yang, Qingcai

AU - Li, Shuying

AU - Cao, Yunpeng

AU - Gu, Fengshou

AU - Smith, Ann

PY - 2018/12/1

Y1 - 2018/12/1

N2 - To ensure reliable and efficient operation of gas turbines, multiple model (MM) approaches have been extensively studied for online fault detection and isolation (FDI). However, current MM-FDI approaches are difficult to directly apply to gas path FDI, which is one of the common faults in gas turbines and is understood to mainly be due to the high complexity and computation in updating hypothetical gas path faults for online applications. In this paper, a fault contribution matrix (FCM) based MM-FDI approach is proposed to implement gas path FDI over a wide operating range. As the FCM is realized via an additive term of the healthy model set, the hypothetical models for various gas path faults can be easily established and updated online. In addition, a gap metric analysis method for operating points selection is also proposed, which yields the healthy model set from the equal intervals linearized models to approximate the nonlinearity of the gas turbine over a wide range of operating conditions with specified accuracy and computational efficiency. Simulation case studies conducted on a two-shaft marine gas turbine demonstrated the proposed approach is capable of adaptively updating hypothetical model sets to accurately differentiate both single and multiple faults of various gas path faults.

AB - To ensure reliable and efficient operation of gas turbines, multiple model (MM) approaches have been extensively studied for online fault detection and isolation (FDI). However, current MM-FDI approaches are difficult to directly apply to gas path FDI, which is one of the common faults in gas turbines and is understood to mainly be due to the high complexity and computation in updating hypothetical gas path faults for online applications. In this paper, a fault contribution matrix (FCM) based MM-FDI approach is proposed to implement gas path FDI over a wide operating range. As the FCM is realized via an additive term of the healthy model set, the hypothetical models for various gas path faults can be easily established and updated online. In addition, a gap metric analysis method for operating points selection is also proposed, which yields the healthy model set from the equal intervals linearized models to approximate the nonlinearity of the gas turbine over a wide range of operating conditions with specified accuracy and computational efficiency. Simulation case studies conducted on a two-shaft marine gas turbine demonstrated the proposed approach is capable of adaptively updating hypothetical model sets to accurately differentiate both single and multiple faults of various gas path faults.

KW - Gas turbine

KW - Gas path fault

KW - Fault detection and isolation

KW - Multiple model;

KW - Gap metric analysis

UR - http://www.scopus.com/inward/record.url?scp=85059296883&partnerID=8YFLogxK

U2 - 10.3390/en11123316

DO - 10.3390/en11123316

M3 - Article

VL - 11

SP - 1

EP - 21

JO - Energies

T2 - Energies

JF - Energies

SN - 1996-1073

IS - 12

M1 - 3316

ER -