| Autor: |
Kamel Tayebi, Abdurrahman Khalidi, Alaaeldin Dawood |
| Rok vydání: |
2022 |
| Zdroj: |
Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine. |
| DOI: |
10.1115/gt2022-81124 |
| Popis: |
Air contamination continues to cause corrosion sometimes leading to catastrophic failures costing tens of millions of dollars in repair/replacement and revenue losses. In the case of heavy-duty gas turbines in the power industry, the problem starts with pitting due to corrosion and progresses to crack initiation, then crack extension due to cyclic load then to unstable crack propagation leading ultimately to blade liberation which in turn creates an extended trail of damage through the various stages of the compressor and the casing. This type of failure usually requires total rotor replacement. It is important to identify the early stages of crack formation and relate it to the level of air contamination and operational parameters of the turbine. This paper addresses improved methods of commissioning and integrated monitoring of a blade health monitoring (BHM) system installed on a turbine that witnessed a previous compressor failure. We particularly show how BHM can be combined with engine operation information for a better understanding of the impact of operational changes on blade behavior. Such an understanding is necessary to detect potential changes in amplitude or frequency characteristics due to damage initiation and progression. It also enables the development and continuous update of site-specific and engine-specific knowledge bases that can be used in predictive analysis and effective decision making for optimal operational performance. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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