Development of GUI Type On-Line Condition Monitoring Program for a Turboprop Engine Using LabVIEW®

2011 ◽  
Author(s):  
Changduk Kong ◽  
Keonwoo Kim ◽  
Jihyun Kim
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Monitoring Program ◽  
Engine Performance ◽  
Performance Simulation ◽  
Turboprop Engine ◽  
Base Engine ◽  
On Line ◽  
Performance Results ◽  
Line Condition

Recently, the health monitoring system has been developed for precaution and maintenance action against faults or performance degradations of the advanced propulsion system which may be occurred in severe environments such as high altitude, foreign object damage particles, hot and heavy rain and snowy atmospheric conditions. However to establish this health monitoring system, the on-line condition monitoring program is firstly required, and the program must monitor the engine performance trend through comparison between measuring engine performance data and base performance results calculated by base engine performance model. This work aims to develop a GUI type on-line condition monitoring program for the PT6A-67 turboprop engine of a high altitude and long endurance operation UAV using LabVIEW. The base engine performance of the on-line condition monitoring program is simulated using component maps inversely generated from the limited performance deck data provided by engine manufacturer. The base engine performance simulation program is evaluated because analysis results by this program are well agreed with the performance deck data. The proposed on-line condition program can monitor the real engine performance as well as the trend through precise comparison between clean engine performance results calculated by the base performance simulation program and measuring engine performance signals. In the development phase of this monitoring system, a signal generation module is proposed to evaluate the proposed on-line monitoring system. For user friendly purpose, all monitoring program are coded by LabVIEW, and monitoring examples are demonstrated using the proposed GUI type on-condition monitoring program.

Parametric Modeling of Exhaust Gas Emission From Natural Gas Fired Gas Turbines

1996 ◽  
Vol 118 (3) ◽  
pp. 553-560 ◽  
Author(s):  
L. E. Bakken ◽  
L. Skogly
Keyword(s):  
Air Pollution ◽  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Gas Turbines ◽  
Nox Emissions ◽  
Exhaust Gas ◽  
On Line ◽  
Condition Monitoring System ◽  
Line Condition

Increased focus on air pollution from gas turbines in the Norwegian sector of the North Sea has resulted in taxes on CO2. Statements made by the Norwegian authorities imply regulations and/or taxes on NOx emissions in the near future. The existing CO2 tax of NOK 0.82/Sm3 (US Dollars 0.12/Sm3) and possible future tax on NOx are analyzed mainly with respect to operating and maintenance costs for the gas turbine. Depending on actual tax levels, the machine should be operated on full load/optimum thermal efficiency or part load to reduce specific exhaust emissions. Based on field measurements, exhaust emissions (CO2, CO, NOx, N20, UHC, etc.) are established with respect to load and gas turbine performance, including performance degradation. Different NOx emission correlations are analyzed based on test results, and a proposed prediction model presented. The impact of machinery performance degradation on emission levels is particularly analyzed. Good agreement is achieved between measured and predicted NOx emissions from the proposed correlation. To achieve continuous exhaust emission control, the proposed NOx model is implemented to the on-line condition monitoring system on the Sleipner A platform, rather than introducing sensitive emission sensors in the exhaust gas stack. The on-line condition monitoring system forms an important tool in detecting machinery condition/degradation and air pollution, and achieving optimum energy conservation.

scholarly journals On-Line Condition Monitoring System for High Level Trip Water in Steam Boiler’s Drum

2014 ◽  
Vol 13 ◽  
pp. 03011
Author(s):  
Firas B. Ismail Alnaimi ◽  
Marwan A Ali ◽  
Hussain H. Al-Kayiem ◽  
Khairul Salleh bin Mohamed Sahari
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
On Line ◽  
Condition Monitoring System ◽  
High Level ◽  
Line Condition

Parametric Modelling of Exhaust Gas Emission From Natural Gas Fired Gas Turbines

1995 ◽  
Author(s):  
L. E. Bakken ◽  
L. Skogly
Keyword(s):  
Air Pollution ◽  
Gas Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Gas Turbines ◽  
Nox Emissions ◽  
Exhaust Gas ◽  
On Line ◽  
Condition Monitoring System ◽  
Line Condition

Increased focus on air pollution from gas turbines in the Norwegian sector of the North Sea has resulted in taxes on CO2. Statements made by the Norwegian authorities imply regulations and/or taxes on NOx emissions in the near future. The existing CO2-tax of NOK 0.82 /Sm3 (US Dollars 0.12/Sm3) and possible future tax on NOx are analysed mainly with respect to operating and maintenance costs for the gas turbine. Depending on actual tax levels, the machine should preferably be operated on full load/optimum thermal efficiency or part load to reduce specific exhaust emissions. Based on field measurements, exhaust emissions (CO2, CO, NOx, N2O, UHC etc.) are established with respect to load and gas turbine performance, including performance degradation. Different NOx emission correlations are analysed based on test results, and a proposed prediction model presented. The impact of machinery performance degradation on emission levels is particularly analysed. Good agreement is achieved between measured and predicted NOx emissions from the proposed correlation. To achieve continuous exhaust emission control, the proposed NOx model is implemented to the on-line condition monitoring system on the Sleipner A platform, rather than introducing sensitive emission sensors in the exhaust gas stack. The on-line condition monitoring system forms an important tool in detecting machinery condition/degradation, air pollution and achieving optimum energy conservation.

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