Tools
Tools
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.
|
PDF
Tsoutsanis-Performance-basedHealthMonitoring(AM).pdf - Accepted Version Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
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 - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Engineering and Mathematics |
| Identification Number: | https://doi.org/10.1016/j.apenergy.2017.04.048 |
| Page Range: | 122-144 |
| Depositing User: | Elias Tsoutsanis |
| Date Deposited: | 16 Aug 2017 12:25 |
| Last Modified: | 18 Mar 2021 04:21 |
| URI: | https://shura.shu.ac.uk/id/eprint/16176 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year