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Pelagic Phytoplankton and Physicochemical Correlates for Lake TexomaMcCullough, William P. 12 1900 (has links)
An analysis and correlation of phytoplankton communities with physicochemical data from 3 sites in Lake Texoma was conducted to supplement time-series data. Water and phytoplankton were sampled monthly, March, 1976-February, 1977. Simple correlations were run between all physicochemical parameters and phytoplankton standing crop from the 3 sites. Multiple linear regression analyses were used to develop equations predictive of phytoplankton standing crop and chloride concentration. Minerals leached from marine sediments in the Red River chennel contribute to formation of a, halocline which seals the anoxic hypolimnion from the reservoir surface in midsummer. Conductivity decreased west to east, 2980-1800. pmhos/cm. Maximum mean annual phytoplankton standing crop in Red River arm was 36 percent greater than midlake. Eutrophication was evident.
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ExtraÃÃo de Regras InterpretÃveis Para o DiagnÃstico Eficiente de Transformadores de PotÃncia Isolados a Ãleo a Partir do Aumento do EspaÃo de Atributos / Extracting Interpretable Rules For Efficient Diagnosis of Power Transformer with Isolated Oil from the Increase in Space AttributesMÃrcio Andrà Baima Amora 29 August 2013 (has links)
Este trabalho propÃe um novo mÃtodo de diagnÃstico de falhas incipientes em equipamentos de potÃncia com isolamento a Ãleo baseado em regras interpretÃveis extraÃdas a partir das
concentraÃÃes dos gases presentes e dissolvidos no Ãleo isolante e de relaÃÃes entre essas concentraÃÃes nÃo exploradas por outros mÃtodos. Utilizando uma Ãrvore de decisÃo (Decision Tree - DT) com modificaÃÃes na dimensÃo dos atributos de entrada para a obtenÃÃo de regras, o mÃtodo proposto: (i) permite que o usuÃrio conheÃa as regras que geraram o diagnÃstico, (ii) contorna limitaÃÃes comuns a outros mÃtodos (ex.: existÃncia de regiÃes de ânÃo-diagnÃsticoâ, existÃncia de mais de um diagnÃstico possÃvel) e (iii) apresenta percentual elevado de acerto no diagnÃstico de dados de DGA (Dissolved Gas Analysis) disponÃveis na literatura. O mÃtodo proposto à comparado com outros mÃtodos de DGA descritos em normas: GÃs Chave, Rogers, DÃrnenburg e TriÃngulo de Duval. Na comparaÃÃo dos mÃtodos
foram utilizados bancos de dados com informaÃÃes publicadas, entre eles os dados do IEC TC 10 que apresentam informaÃÃes e diagnÃstico de um comità de especialistas. Os Ãndices de
acerto observados com o mÃtodo proposto estiveram acima de 94%. Comparativamente, o MÃtodo do TriÃngulo de Duval apresenta Ãndices de acerto entre 83% e 88%. O mÃtodo
tambÃm foi avaliado com relaÃÃo à sensibilidade na ocorrÃncia de erros nas medidas de laboratÃrio, apresentando resultados comparativamente superiores (Ãndice de acerto de 83% em comparaÃÃo com 78% do MÃtodo do TriÃngulo de Duval). TambÃm foi desenvolvido neste trabalho um mÃtodo para o diagnÃstico simplificado de equipamentos de potÃncia com
isolamento a Ãleo utilizando dados fÃsico-quÃmicos â os Ãndices de acerto obtidos foram inferiores aos alcanÃados com o DGA proposto, porÃm prÃximos aos observados em mÃtodos
de DGA citados na literatura, como Rogers IEEE C57.104 â 2008, com a vantagem dos dados nÃo dependerem da disponibilidade de um cromatÃgrafo. / This work proposes a new method for diagnosis of incipient faults in power equipment with insulation oil. It consists on a set of interpretable rules extracted from the concentrations of the dissolved gases in insulating oil, and the relationships between these concentrations. Using a Decision Tree (DT) with changes in the size of the input attributes for obtaining rules, the proposed method: (i) allows the user to know the rules that generated the diagnosis, (ii) bypasses limitations common to other methods (e.g. the existence of "no diagnosis" regions, and the occurrence of more than one possible diagnosis) and (iii) the accuracy in diagnosis of DGA (Dissolved Gas Analysis) data available in the literature. The proposed method is
compared with other DGA standard methods: Gas Key, Rogers, Dornenburg and DuvalÂs Triangle. The performed comparison considered databases available in technical literature,
including data from the IEC TC 10. The observed accuracy of the proposed method is above 94%. Comparatively, the DuvalÂs Triangle method presents accuracy between 83% and 88%
for the considered databases. The method was also evaluated with respect to sensitivity to measurements errors of laboratory â the results are very promising, the proposed method shows a hit rate of 83% in comparison with a hit rate of 78% for the DuvalÂs Triangle method. This work has also been developed a method for simplified diagnostic of power equipments with insulated oil using physico-chemical data - the hit rates obtained were lower than those achieved with the proposed DGA, however close to those observed in DGA methods cited in the literature, as Rogers IEEE C57.104 - 2008, with the advantage of the data not depend on the availability of a gas chromatograph.
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