Condition based management of gas turbine engine using neural networks
This research work is focused on the development of the hybrid neural network model to asses the gas turbine’s compressor health. Effects of various gas turbine compressor performance recovery methods like on-line washing, off-line washing and manual inlet guide vane cleaning are analyzed to segrega...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/6556 |
| _version_ | 1811690586330103808 |
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| author | Muthukumar, Krishnan |
| author2 | Ho Hiang Kwee |
| author_facet | Ho Hiang Kwee Muthukumar, Krishnan |
| author_sort | Muthukumar, Krishnan |
| collection | NTU |
| description | This research work is focused on the development of the hybrid neural network model to asses the gas turbine’s compressor health. Effects of various gas turbine compressor performance recovery methods like on-line washing, off-line washing and manual inlet guide vane cleaning are analyzed to segregate the recoverable and non-recoverable losses. The developed hybrid neural network model is used to analysis the above losses and suggest appropriate compressor washing schedule to run the gas turbine at its maximum efficiency. |
| first_indexed | 2024-10-01T06:06:21Z |
| format | Thesis |
| id | ntu-10356/6556 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:06:21Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/65562023-03-11T17:45:56Z Condition based management of gas turbine engine using neural networks Muthukumar, Krishnan Ho Hiang Kwee School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Motors, engines and turbines This research work is focused on the development of the hybrid neural network model to asses the gas turbine’s compressor health. Effects of various gas turbine compressor performance recovery methods like on-line washing, off-line washing and manual inlet guide vane cleaning are analyzed to segregate the recoverable and non-recoverable losses. The developed hybrid neural network model is used to analysis the above losses and suggest appropriate compressor washing schedule to run the gas turbine at its maximum efficiency. MASTER OF ENGINEERING (MPE) 2008-09-17T11:17:54Z 2008-09-17T11:17:54Z 2005 2005 Thesis Muthukumar, K. (2005). Condition based management of gas turbine engine using neural networks. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/6556 10.32657/10356/6556 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering::Motors, engines and turbines Muthukumar, Krishnan Condition based management of gas turbine engine using neural networks |
| title | Condition based management of gas turbine engine using neural networks |
| title_full | Condition based management of gas turbine engine using neural networks |
| title_fullStr | Condition based management of gas turbine engine using neural networks |
| title_full_unstemmed | Condition based management of gas turbine engine using neural networks |
| title_short | Condition based management of gas turbine engine using neural networks |
| title_sort | condition based management of gas turbine engine using neural networks |
| topic | DRNTU::Engineering::Mechanical engineering::Motors, engines and turbines |
| url | https://hdl.handle.net/10356/6556 |
| work_keys_str_mv | AT muthukumarkrishnan conditionbasedmanagementofgasturbineengineusingneuralnetworks |