Thermodynamic models suitable for use as diagnostic tools for pipeline gas turbines have been developed. A basic requirement was the prediction of the performance of gas turbines subject to in-service deterioration, including effects such as compressor fouling, foreign object damage and turbine damage. This was met by creating thermodynamic models capable of operation over the complete running range expected, with a provision for introducing arbitrarily controlled degradations. Models for a variety of types of gas turbines currently in pipeline use have been tested, demonstrating good agreement with user experience. The models are extremely flexible in use and may be used either for investigation of specific problems or to increase user understanding of operating problems.
In order to ensure accuracy and credibility of an engine health monitoring system, it is vital that the measurements used in the analysis process be accurate. An analysis procedure has been developed to verify the accuracy of daily measurements taken from industrial gas turbines in the gas pipeline industry. The procedure has been extended to use the measurements to develop an engine health monitoring system for this class of equipment which is based solely on existing instrumentation. The method has been tested using field data from several gas pumping units and was found to be capable of isolating instrumentation problems and to correctly diagnose engine health deterioration.
Thermodynamic models suitable for use as diagnostic tools for pipeline gas turbines have been developed. A basic requirement was the prediction of the performance of gas turbines subject to in-service deterioration, including effects such as compressor fouling, foreign object damage, and turbine damage. This was met by creating thermodynamic models capable of operation over the complete running range expected, with a provision for introducing arbitrarily controlled degradations. Models for a variety of types of gas turbines currently in pipeline use have been tested, demonstrating good agreement with user experience. The models are extremely flexible in use and may be used either for investigation of specific problems or to increase user understanding of operating problems.
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