Investigation on a new methodology for thermal power plant assessment through live diagnosis monitoring of selected process parameters; application to a case study
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DOI: 10.1016/j.energy.2012.03.071
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Cited by:
- Guo, Sisi & Liu, Pei & Li, Zheng, 2016. "Identification and isolability of multiple gross errors in measured data for power plants," Energy, Elsevier, vol. 114(C), pages 177-187.
- Xu, Jing & Bi, Dapeng & Ma, Suxia & Bai, Jin, 2020. "A data-based approach for benchmark interval determination with varying operating conditions in the coal-fired power unit," Energy, Elsevier, vol. 211(C).
- Fan, Mu-wei & Ao, Chu-chu & Wang, Xiao-rong, 2019. "Comprehensive method of natural gas pipeline efficiency evaluation based on energy and big data analysis," Energy, Elsevier, vol. 188(C).
- Vazquez, Luis & Blanco, Jesús María & Ramis, Rolando & Peña, Francisco & Diaz, David, 2015. "Robust methodology for steady state measurements estimation based framework for a reliable long term thermal power plant operation performance monitoring," Energy, Elsevier, vol. 93(P1), pages 923-944.
- Jiang, Xiaolong & Liu, Pei & Li, Zheng, 2014. "Data reconciliation and gross error detection for operational data in power plants," Energy, Elsevier, vol. 75(C), pages 14-23.
- Cavalcante, Cristiano A.V. & Lopes, Rodrigo S., 2015. "Multi-criteria model to support the definition of opportunistic maintenance policy: A study in a cogeneration system," Energy, Elsevier, vol. 80(C), pages 32-40.
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Keywords
Thermal power-plant assessment; Live diagnosis; Monitoring process; Multivariate steady-state detection; Conventional and combined cycles; Steam-boiler control;All these keywords.
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