| Advanced Monitoring to Improve Combustion Turbine/Combined Cycle Reliability, Availability & Maintainability | |
| Angello, Leonard | |
| Electric Power Research Institution | |
| 关键词: Combustion; On-Line Measurement Systems; Monitoring; Turbines; Maintenance; | |
| DOI : 10.2172/922248 RP-ID : None RP-ID : FC26-01NT41233 RP-ID : 922248 |
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| 美国|英语 | |
| 来源: UNT Digital Library | |
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【 摘 要 】
Power generators are concerned with the maintenance costs associated with the advanced turbines that they are purchasing. Since these machines do not have fully established Operation and Maintenance (O&M) track records, power generators face financial risk due to uncertain future maintenance costs. This risk is of particular concern, as the electricity industry transitions to a competitive business environment in which unexpected O&M costs cannot be passed through to consumers. These concerns have accelerated the need for intelligent software-based diagnostic systems that can monitor the health of a combustion turbine in real time and provide valuable information on the machine's performance to its owner/operators. EPRI, Impact Technologies, Boyce Engineering, and Progress Energy have teamed to develop a suite of intelligent software tools integrated with a diagnostic monitoring platform that, in real time, interpret data to assess the 'total health' of combustion turbines. The 'Combustion Turbine Health Management System' (CTHMS) will consist of a series of 'Dynamic Link Library' (DLL) programs residing on a diagnostic monitoring platform that accepts turbine health data from existing monitoring instrumentation. CTHMS interprets sensor and instrument outputs, correlates them to a machine's condition, provide interpretative analyses, project servicing intervals, and estimate remaining component life. In addition, the CTHMS enables real-time anomaly detection and diagnostics of performance and mechanical faults, enabling power producers to more accurately predict critical component remaining useful life and turbine degradation.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 922248.pdf | 4255KB |
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