2021
DOI: 10.3390/en14206795
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Multivariate State Estimation Technique Combined with Modified Information Entropy Weight Method for Steam Turbine Energy Efficiency Monitoring Study

Abstract: An energy efficiency monitoring method of the steam turbine system is studied in this paper. Multivariate state estimation technique (MSET) is utilized to compare the actual monitoring parameters and the healthy data of the equipment in normal working condition with a multi parameter estimation model. Due to the limitation of a single heat rate index in evaluating energy efficiency variation, the energy efficiency deviation degree combined with improved information entropy weight is proposed to judge the steam… Show more

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Cited by 8 publications
(1 citation statement)
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“…To avoid this problem, this study adopts the entropy weight method, an objective assignment method, to determine the weight of each index based on the amount of information provided by each index and the degree of variability. The smaller the entropy value, the greater the amount of information contained and it should be given a larger weight, and conversely the larger the entropy value, the smaller the weight should be given (Gu et al, 2021). The basic steps are as follows:…”
Section: Determine the Index Weightmentioning
confidence: 99%
“…To avoid this problem, this study adopts the entropy weight method, an objective assignment method, to determine the weight of each index based on the amount of information provided by each index and the degree of variability. The smaller the entropy value, the greater the amount of information contained and it should be given a larger weight, and conversely the larger the entropy value, the smaller the weight should be given (Gu et al, 2021). The basic steps are as follows:…”
Section: Determine the Index Weightmentioning
confidence: 99%