Thermodynamic Models for Pipeline Gas Turbine Diagnostics

Abstract

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.

Neural-network based analysis and prediction of a compressor’s characteristic performance map

“…Compressor characteristics can be expressed by the relationships of the pressure ratio p à c , corrected speed n c = ffiffiffiffiffi T à 1 p , corrected mass-flow rate G c ffiffiffiffiffi T à 1 p =p à 1 , and efficiency g à c [1][2][3][4]. An accurate state is specified when two of the four parameters are given.…”

“…A generalized compressor map developed by Saravanamuttoo and MacIssac [2] has been used by Zhu and Saravanamuttoo [3]. Kurzke [4] introduced auxiliary coordinates (lines b), having no physical meaning, which are superimposed on the characteristic curves.…”

Model-based reasoning for fault diagnosis of twin-spool turbofans

“…Three different settings of net thrust, namely (a) high throttle setting (20 kN), (b) midthrottle setting (15 kN) and (c) lowthrottle setting (9 kN), have been used with four faults implanted successively to obtain numerical values of eight other performance parameters [12]. The four implanted faults, namely (a) warping of the HPT blades has been represented by 2 per cent drop in HPT efficiency and no change in the non-dimensional mass flow as found by Saravanamuttoo and MacIssac [8, p. 879], (b) mild fouling of the compressor by 3 per cent reduction in the nondimensional compressor mass flowrate with no change in the efficiency of the compressor [8,9] and (c) mechanical erosion or (d) corrosion of hot and cold exhaust nozzles, have been represented by 5 per cent increase in the hot and cold nozzle areas affecting the turbine non-dimensional mass flowrates [8, p. 879]. When the HPT efficiency is decreased by 2 per cent, the percentage variation in the values of eight performance parameters from the baseline values are as shown in Table 1.…”

The method of multi-sources fault diagnosis in gas turbine & compressor unit based on SDG and Bayes theory

“…So the fault diagnosis of its equipment is important. Saravanamuttoo established a practical model of gas turbine and used it in state monitoring and diagnosis [1] . According to experimental data, Wang et al established a new standard mathematical model of gas turbine [2] .…”