Performance-analysis-based gas turbine diagnostics: A review

Li, Yi-Guang

doi:10.1243/095765002320877856

Cited by 169 publications

(130 citation statements)

References 97 publications

Supporting

Mentioning

129

Contrasting

Unclassified

Order By: Relevance

“…Among these methods the gas path analysis (GPA) scheme is investigated very intensively by several authors, particularly, by those who worked on gas turbine gas path diagnostics [8]. Even though, gas turbine models for diagnosis are highly nonlinear, Urban [16] in 1967 introduced a simplified linear description, referred to as "linear gas path analysis" (LGPA), neglecting the measurement uncertainty and the non-linearity nature of the engine behavior.…”

Section: Model Based Diagnostics Methodsmentioning

confidence: 99%

“…GA is a method which mimics nature on the basis of Darwin's evolutionary theory of 'survival of the fittest' [46]. The GA is applied as an effective optimization tool to obtain a set of component parameters that produce a set of predicted dependant parameters, through a nonlinear gas turbine model that leads to predictions that best match the measurements [8]. The solution is obtained when an objective function, which is the measure of the difference between predicted values and measured values, achieves the minimum value.…”

Section: Fuzzy Logic (Fl) Methodsmentioning

confidence: 99%

“…An expert system is a computer program that used to capture human expert knowledge in the form of facts and rules to solve a problem or giving an advice [5,8]. The architecture of expert systems consist of four basic elements, user interface (used to acquire information and display results), inference engine (deals with all the reasoning operations of the system based on known facts and rules), knowledge base (contains facts and rules about the problem to offer the appropriate decision) and developer (stores information about current education) [25].…”

Section: Expert Systems (Es)mentioning

confidence: 99%

“…Expert systems for engine diagnostics application can be classified as knowledge base and rule base. Several expert system based gas turbine diagnostic techniques are available in the open literature [8,49]. However, these systems require precise inputs and rely entirely on knowledge of experts and extensive database of rules.…”

Section: Expert Systems (Es)mentioning

confidence: 99%

“…In the same way, Marinai [7] developed a diagnostic algorithm for gas path components of a gas turbine engine that can isolate single, dual and multiple component faults in the presence of noisy data. For more detail, an extensive review is available in [8]. However, recent researches [9][10][11] indicate that the existing algorithms still need an improvement and the area has some rooms for further study.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Gas turbine gas path diagnostics: A review

2016

View full text Add to dashboard Cite

Abstract. In this competitive business world one way to increase profitability of a power production unit is to reduce the operation and maintenance expenses. This is possible if the gas turbine availability and reliability is improved using the appropriate maintenance action at the right time. In that case, fault diagnostics is very critical and effective and advanced methods are essential. Gas turbine diagnostics has been studied for the past six decades and several methods are introduced. This paper aims to review and summarise the published literature on gas path diagnostics, giving more emphasis to the recent developments, and identify advantages and limitations of the methods so that beginners in diagnostics can easily be introduced. Towards this end, this paper, identifies various diagnostic methods and point out their pros and cons. Finally, the paper concludes the review along with some recommended future works.

show abstract

Section: Model Based Diagnostics Methodsmentioning

confidence: 99%

Section: Fuzzy Logic (Fl) Methodsmentioning

confidence: 99%

Section: Expert Systems (Es)mentioning

confidence: 99%

Section: Expert Systems (Es)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Gas turbine gas path diagnostics: A review

2016

View full text Add to dashboard Cite

show abstract

Monitoring of Aircraft Engines

Kadirkamanathan

Fleming

2008

Encyclopedia of Structural Health Monitoring

View full text Add to dashboard Cite

Aircraft engines are highly reliable complex systems with enhanced safety requirements. Monitoring engine component degradations to avoid the high flight shut down and repair costs is vital for the aircraft manufacturers and operators in the current business model. Monitoring systems are required to perform diagnosis of developing faults and prognosis to plan maintenance actions. The common engine faults are due to the mechanical components requiring vibration analysis and oil and debris monitoring, as well as the gas path component faults requiring efficiency and other performance parameter monitoring. For vibration monitoring, spectral signatures are used for detecting changes to the normal engine operation. On the other hand, prognosis is often based on trending the gas path performance parameters. The use of intelligent systems methods such as case‐based reasoning, neural networks, and fuzzy systems has proved popular because of the lack of precise knowledge about the behavior of a complex system like the aircraft engine. Where accurate models are available, model‐based methods such as the Kalman filter, observers and, where dynamic data are available, system identification approaches have found application. Often, information from more than one analysis is integrated in decision making. The grid computing architecture‐based distributed Aircraft Maintenance Environment (DAME) project shows the future direction in which aircraft engine monitoring is heading.

show abstract

Service‐oriented architecture on the Grid for integrated fault diagnostics

Ren

Ong

Allan

et al. 2006

Concurrency and Computation

View full text Add to dashboard Cite

SUMMARYFor industrial fault diagnostics, many model-based fault diagnosis approaches have been proposed so far and some of them have been put into practice. However, for modern complex processes, owing to the variable nature of faults and model uncertainty, no single method can diagnose all faults and meet different contradictory criteria. In this paper, the importance of integration of different fault detection and isolation schemes in a generic problem-solving environment is emphasized. A service-oriented architecture for the integration is proposed, based on Grid technologies. As an engineering implementation, a decision support system for the gas turbine engine fault diagnosis is presented and some deployed services are discussed.

show abstract

Performance-analysis-based gas turbine diagnostics: A review

Cited by 169 publications

References 97 publications

Gas turbine gas path diagnostics: A review

Gas turbine gas path diagnostics: A review

Monitoring of Aircraft Engines

Service‐oriented architecture on the Grid for integrated fault diagnostics

Contact Info

Product

Resources

About