Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

TAHAN, Mohammadreza, TSOUTSANIS, Elias, MUHAMMAD, Masdi and ABDUL KARIM, Z.A. (2017). Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review. Applied Energy, 198, 122-144.

[img] PDF
Tsoutsanis-Performance-basedHealthMonitoring(AM).pdf - Accepted Version
Restricted to Repository staff only until 28 April 2018.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB)
Official URL: http://www.sciencedirect.com/science/article/pii/S...
Link to published version:: 10.1016/j.apenergy.2017.04.048

Abstract

With the privatization and intense competition that characterize the volatile energy sector, the gas turbine industry currently faces new challenges of increasing operational flexibility, reducing operating costs, improving reliability and availability while mitigating the environmental impact. In this complex, changing sector, the gas turbine community could address a set of these challenges by further development of high fidelity, more accurate and computationally efficient engine health assessment, diagnostic and prognostic systems. Recent studies have shown that engine gas-path performance monitoring still remains the cornerstone for making informed decisions in operation and maintenance of gas turbines. This paper offers a systematic review of recently developed engine performance monitoring, diagnostic and prognostic techniques. The inception of performance monitoring and its evolution over time, techniques used to establish a high-quality dataset using engine model performance adaptation, and effects of computationally intelligent techniques on promoting the implementation of engine fault diagnosis are reviewed. Moreover, recent developments in prognostics techniques designed to enhance the maintenance decision-making scheme and main causes of gas turbine performance deterioration are discussed to facilitate the fault identification module. The article aims to organize, evaluate and identify patterns and trends in the literature as well as recognize research gaps and recommend new research areas in the field of gas turbine performance-based monitoring. The presented insightful concepts provide experts, students or novice researchers and decision-makers working in the area of gas turbine engines with the state of the art for performance-based condition monitoring.

Item Type: Article
Additional Information: cited By 1
Uncontrolled Keywords: Competition; Condition monitoring; Decision making; Engines; Environmental impact; Fault detection; Gases; Health; Maintenance; Monitoring; Operating costs; Plasma diagnostics; Privatization; Systems engineering, Computationally efficient; Condition based maintenance; Diagnostics and prognostics; Gas path faults; Health assessments; Maintenance decision making; Prognostics; Reliability and availability, Gas turbines, assessment method; data set; decision making; detection method; engine; gas industry; literature review; maintenance; monitoring; performance assessment; privatization; qualitative analysis; turbine
Departments: Arts, Computing, Engineering and Sciences > Engineering and Mathematics
Identification Number: 10.1016/j.apenergy.2017.04.048
Depositing User: Elias Tsoutsanis
Date Deposited: 16 Aug 2017 12:25
Last Modified: 01 Sep 2017 10:40
URI: http://shura.shu.ac.uk/id/eprint/16176

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics