Paper
29 March 2013 Online acoustic emission monitoring of combustion turbines for compressor stator vane crack detection
Sepandarmaz Momeni, Jaya P. Koduru, Miguel Gonzalez, Boris Zarate, Valery Godinez
Author Affiliations +
Abstract
Combustion turbine components operate under extreme environmental conditions and are susceptible to failure. Turbine blades are the most susceptible components and need to be regularly inspected to assure their integrity. Undetected cracks on these blades may grow quickly due to the high fatigue loading to which they are subjected and eventually fail causing extensive damage to the turbine. Cracks in turbine blades can originate from manufacturing errors, impact damages or the due to corrosion from the aggressive environment in which they operate. The component most susceptible to failure in a combustion turbine is the mid-compressor blades. In this region, the blades experience the highest gradients in temperature and pressure. Cracks in the rotator blades can be detected by vibration monitoring; while, the stator vanes or blades cracking can only be monitored by Acoustic Emission (AE) method. The stator vanes are in contact with the external casing of the turbine and therefore, any acoustic emission activity from the blades can be captured non-intrusively by placing sensors on the turbine casing. The acoustic emission activity from cracks that are under fatigue loading is significantly higher than the background noise and hence can be captured and located accurately by a group of AE sensors. Using a total of twelve AE sensors per turbine, the crack generation and propagation in the stator vanes of the mid-compressor section is monitored continuously. The cracks appearing in the stator vanes is clearly identified and located by the AE sensors.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sepandarmaz Momeni, Jaya P. Koduru, Miguel Gonzalez, Boris Zarate, and Valery Godinez "Online acoustic emission monitoring of combustion turbines for compressor stator vane crack detection", Proc. SPIE 8690, Industrial and Commercial Applications of Smart Structures Technologies 2013, 86900B (29 March 2013); https://doi.org/10.1117/12.2013870
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Acoustic emission

Combustion

Failure analysis

Acoustics

Corrosion

Data acquisition

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