Abstract

Gas-turbine engines are critical to the operation of most industrial plants, aircraft and heavy vehicles. Condition monitoring is essential to mastering mechanical system running status, improving operation reliability, and reducing maintenance cost. This paper reviews state-of-the-art gas turbine condition monitoring, puts forward the pending problems and predicts future development in the field. Three main advanced methods are introduced briefly in the end.

Highlights

  • Gas-turbine engines are critical to the operation of most industrial plants, aircraft, and heavy vehicles such as military armour and transport ships, and their associated maintenance costs can be high

  • 1) Measurement of Blade Tip Clearance The active control and minimization of the gap between the rotating turbine blades and the stationary case of gas turbine engines is being investigated as a means of increasing engine efficiency, reducing fuel consumption, reducing emissions, and increasing engine service life[17]

  • Gas-turbine engines are critical to the operation of most industrial plants, aircraft and heavy vehicles, and their associated maintenance costs can be high

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Summary

Introduction

Gas-turbine engines are critical to the operation of most industrial plants, aircraft, and heavy vehicles such as military armour and transport ships, and their associated maintenance costs can be high. Because of complex structure and poor working conditions, it becomes the most sensitive part in whole system. Condition monitoring is essential to mastering mechanical system running status and the function characteristic and it play an important role in avoiding breakdown and hazardous accidents, improving operation reliability, and reducing maintenance cost. By adopting a condition monitoring approach, the engine's maintenance needs are determined according to its operating condition, rather than being performed at fixed periods of time [1]

Current Research at Home and Abroad
Three New Methods in Condition Monitoring and Prognosis
Findings
Conclusion
Full Text
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