Nonlinear Steady-State Model Based Gas Turbine Health Status Estimation Approach with Improved Particle Swarm Optimization Algorithm
Joint Authors
Li, Jing-chao
Ying, Yulong
Cao, Yunpeng
Li, Shuying
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In the lifespan of a gas turbine engine, abrupt faults and performance degradation of its gas-path components may happen; however the performance degradation is not easily foreseeable when the level of degradation is small.
Gas path analysis (GPA) method has been widely applied to monitor gas turbine engine health status as it can easily obtain the magnitudes of the detected component faults.
However, when the number of components within engine is large or/and the measurement noise level is high, the smearing effect may be strong and the degraded components may not be recognized.
In order to improve diagnostic effect, a nonlinear steady-state model based gas turbine health status estimation approach with improved particle swarm optimization algorithm (PSO-GPA) has been proposed in this study.
The proposed approach has been tested in ten test cases where the degradation of a model three-shaft marine engine has been analyzed.
These case studies have shown that the approach can accurately search and isolate the degraded components and further quantify the degradation for major gas-path components.
Compared with the typical GPA method, the approach has shown better measurement noise immunity and diagnostic accuracy.
American Psychological Association (APA)
Ying, Yulong& Cao, Yunpeng& Li, Shuying& Li, Jing-chao. 2015. Nonlinear Steady-State Model Based Gas Turbine Health Status Estimation Approach with Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1075127
Modern Language Association (MLA)
Ying, Yulong…[et al.]. Nonlinear Steady-State Model Based Gas Turbine Health Status Estimation Approach with Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1075127
American Medical Association (AMA)
Ying, Yulong& Cao, Yunpeng& Li, Shuying& Li, Jing-chao. Nonlinear Steady-State Model Based Gas Turbine Health Status Estimation Approach with Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1075127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075127