In-situ condition monitoring (CM) is a crucial element in protection and predictive maintenance of large rotating Power-Gen equipment such as gas turbines or steam turbines. In this work, selected gas turbine loss events occurring during a recent ten-year period at FM Global clients’ power generation plants were evaluated. For each loss event, a loss scenario or a chain of failures was outlined after investigating the available loss record. These loss events were then categorized based on the nature of the associated loss scenario. The study subsequently focused on the variables that could be monitored in real time to detect the abnormal turbine operating conditions, such as vibration characteristics, temperature, pressure, quality of working fluids and material degradations. These groups of condition monitoring variables were then matched with detectable failures in each loss event and prioritized based on their effectiveness for failure detection and prevention. The detectable loss events and the associated loss value were used in this evaluation process. The study finally concluded with a summary of findings and path-forward actions.
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ASME 2014 International Mechanical Engineering Congress and Exposition
November 14–20, 2014
Montreal, Quebec, Canada
Conference Sponsors:
- ASME
ISBN:
978-0-7918-4963-7
PROCEEDINGS PAPER
PowerGen Gas Turbine Losses and Condition Monitoring: A Loss Data Based Study
Bin Zhou
Bin Zhou
FM Global Research, Norwood, MA
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Bin Zhou
FM Global Research, Norwood, MA
Paper No:
IMECE2014-38198, V014T08A019; 7 pages
Published Online:
March 13, 2015
Citation
Zhou, B. "PowerGen Gas Turbine Losses and Condition Monitoring: A Loss Data Based Study." Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition. Volume 14: Emerging Technologies; Engineering Management, Safety, Ethics, Society, and Education; Materials: Genetics to Structures. Montreal, Quebec, Canada. November 14–20, 2014. V014T08A019. ASME. https://doi.org/10.1115/IMECE2014-38198
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