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Keywords: fault diagnostics
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2024, 146(11): 111008.
Paper No: GTP-23-1519
Published Online: July 20, 2024
..., a method to predict the erosion degree of turbine blades is needed. Machine learning has been drawing attention in the field of fault diagnostics and predicting the health of turbine systems. It is known that erosion and fouling are the main factors of turbine performance degradation [ 3 ]. Fault...
