UTPediaSAFIYULLAH, FEROZKHAN (2016) COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING. Masters thesis, Universiti Teknologi PETRONAS.
![[thumbnail of 2015-MECHANICAL-COMPUTATIONAL MODELING GAS COMPRESOR DIAGNOSTICS USING GENETIC PROGRAMMING-FEROZKHAN SAFIYULLAH.pdf]](http://utpedia.utp.edu.my/style/images/fileicons/application_pdf.png)
PDF
2015-MECHANICAL-COMPUTATIONAL MODELING GAS COMPRESOR DIAGNOSTICS USING GENETIC PROGRAMMING-FEROZKHAN SAFIYULLAH.pdf
Restricted to Registered users only
Download (7MB)
Abstract
Gas compressor diagnostics are vital in oil and gas industry because of the equipment
criticalitywhich requires continuous operations. Plant operators often face difficulties
in predicting appropriate time for maintenance and would usually rely on time based
predictive maintenance intervals as recommended by original equipmentmanufacturer
(OEM). Delayed decision on compressor maintenance intervention would cause
prolonged downtime due to poorreadiness of spare parts and resources. The objective
of this work is to develop a diagnosticmodel for gas compressor in oil and gas industry
using the novel approach of genetic programming that can overcome the maintenance
problems in relation to prediction of downtime. The maintenance activity of the gas
compressor canbepredicted bycalculating the performance degradation.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Departments / MOR / COE: | Engineering > Mechanical |
| Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
| Date Deposited: | 20 Sep 2021 09:00 |
| Last Modified: | 25 Jul 2024 00:26 |
| URI: | http://utpedia.utp.edu.my/id/eprint/21478 |
Actions (login required)
- View Item