Print Email Facebook Twitter Gas Turbine Diagnostics Based on Gas Path Analysis Title Gas Turbine Diagnostics Based on Gas Path Analysis Author Sajeev, A.M. Contributor Visser, W.P.J. (mentor) Bennett, I. (mentor) Faculty Aerospace Engineering Department Flight Performance and Propulsion Programme Propulsion and power Date 2015-08-13 Abstract Better availability ensures economic operation of the gas turbine, saving in the order of millions. One step towards such an approach is to develop real-time monitoring methods. Real-time monitoring allows users to monitor the performance of the gas turbine and ensure proper functioning of the engine. Moreover changes in gas path components can be used to identify the deteriorated components thereby decreasing the downtime of the engine. This project was carried out in collaboration with Shell Global Solutions. The aim of the project is to develop a performance monitoring method and propose a fault isolation mechanism. The study is carried out on a three shaft gas turbine, GE LMS100. This is the latest developed gas turbine with intercooler and is used extensively by the oil & gas industry. The challenge in developing a performance monitoring method for such an engine lies with the configuration of the gas turbine itself. Gas turbine Simulation Program (GSP) is used to model the gas turbine. Different diagnostic techniques used for performance monitoring of gas turbine is studied and a suitable method is proposed by the end of the project. Component parameters of a healthy engine are simulated using GSP and deviation of operating points from their respective baseline indicates deterioration in performance of the gas turbine. An attempt is made to quantify the deviation in component measured parameters owing to respective deterioration cases. The fault isolation tool created would help in reducing the dependency on expert analysis and reduce downtime of the machine. The proposed method proves to be able to detect, quantify and isolate fault in the gas turbine based on a few indicating parameters. The conclusions and recommendations made from this project can be used to develop a complete engine health monitoring tool. Subject DiagnosticsAvailabilityFault IsolationPerformance MonitoringEngine Health MonitoringCondition Based Maintenance To reference this document use: http://resolver.tudelft.nl/uuid:36824eea-0902-4b23-93d3-8cc17ab21302 Embargo date 2016-08-13 Part of collection Student theses Document type master thesis Rights (c) 2015 Sajeev, A.M. Files PDF GT_Diagnostics___Anish_4310098.pdf 4.94 MB Close viewer /islandora/object/uuid:36824eea-0902-4b23-93d3-8cc17ab21302/datastream/OBJ/view