The fuzzy method is proposed for ageing analysis of transformer. The fuzzy controller is used for various input and one output, strictly depends on the number of membership function and there rule base and the type of...The fuzzy method is proposed for ageing analysis of transformer. The fuzzy controller is used for various input and one output, strictly depends on the number of membership function and there rule base and the type of the defuzzification method. The ageing of transformers is influenced by short term and long term over loads, number and intensity of short circuits, incidence of lightning, and internal faults. The recent development of various techniques for detecting the incipient fault conditions have been improved to some extent;the life expectancy of transformers by resorting to corrective actions in time. The ageing behavior is likely to be different for different types of transformers. The life span of the transformer, thus depends initially on the design and quality of manufacture and later on service conditions and maintenance standard, these factors vary considerably and affect the useful span of service life which therefore needs to be taken into account for residual life assessment. During the natural ageing of transformers, the insulation of winding deteriorates. Cellulose insulation degrades due to heating or electrical breakdown which is dissolved in oil. Hence, the chemical analysis of the Transformer oil gives evidence of changes that are taking place in the winding insulation during operation. Deterioration in transformer cellulose decreases both its electrical and mechanical strength. In this paper a novel fuzzy based algorithm has been implemented on three samples of power transformer oil.展开更多
Background:The severe acute respiratory syndrome Coronavirus-2 causing COVID-19 viral infection was first reported in late December 2019,spreading swiftly across all over the world.WHO declared it a pandemic by March ...Background:The severe acute respiratory syndrome Coronavirus-2 causing COVID-19 viral infection was first reported in late December 2019,spreading swiftly across all over the world.WHO declared it a pandemic by March 2020.Many problems emerged worldwide healthcare system and economic burden due to viral outbreak.High transmission rate and infectious nature make COVID-19 pandemic.Effectively managing outbreak and controlling spread is challenging.Despite valiant efforts to contain the COVID-19 outbreak,the situation has deteriorated to the point that there were no viable preventive therapies to treat this disease.Developing effective treatment for COVID-19 has been a complex and ongoing endeavor.Objective:The aim of this systematic review is to evaluate the structure,epidemiology,pathophysiology,po-tential therapeutic treatments,and preventive measures adopted in Traditional Chinese Medicine(TCM)in the management of Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)virus.Methods:A systematic methodology has been adopted in this study following PRISMA guidelines.Several key-words like“COVID-19”“SARS-CoV-2”“Coronavirus”and“Traditional Chinese Medicine”were searched in var-ious databases like ScienceDirect,Google Scholar,PubMed,and ResearchGate during the time span of 2010-2023.Clinical trials and studies relevant to this study were identified through a systematic search strategy fol-lowing PRISMA methodology.Results:In this systematic review,after careful evaluation and reviewing of literature through PRISMA guidelines,145 relevant studies were identified,reviewed and included in this systematic review.A detailed study has been summarized on virus structure,etiology,epidemiology characteristics,pathophysiology,and potential therapeutic treatments and preventive measures adopted in traditional medicinal system in the treatment of infected COVID-19 patients.Conclusion:SARS-CoV-2 transmission dynamics and pathogenesis were revealed by the etiology analysis.COVID-19 symptoms and severe disease outcomes can be managed with certain repurposed drugs,traditional medicinal system and antivirals,which have been shown to be effective in treating COVID-19 infection.展开更多
文摘The fuzzy method is proposed for ageing analysis of transformer. The fuzzy controller is used for various input and one output, strictly depends on the number of membership function and there rule base and the type of the defuzzification method. The ageing of transformers is influenced by short term and long term over loads, number and intensity of short circuits, incidence of lightning, and internal faults. The recent development of various techniques for detecting the incipient fault conditions have been improved to some extent;the life expectancy of transformers by resorting to corrective actions in time. The ageing behavior is likely to be different for different types of transformers. The life span of the transformer, thus depends initially on the design and quality of manufacture and later on service conditions and maintenance standard, these factors vary considerably and affect the useful span of service life which therefore needs to be taken into account for residual life assessment. During the natural ageing of transformers, the insulation of winding deteriorates. Cellulose insulation degrades due to heating or electrical breakdown which is dissolved in oil. Hence, the chemical analysis of the Transformer oil gives evidence of changes that are taking place in the winding insulation during operation. Deterioration in transformer cellulose decreases both its electrical and mechanical strength. In this paper a novel fuzzy based algorithm has been implemented on three samples of power transformer oil.
文摘Background:The severe acute respiratory syndrome Coronavirus-2 causing COVID-19 viral infection was first reported in late December 2019,spreading swiftly across all over the world.WHO declared it a pandemic by March 2020.Many problems emerged worldwide healthcare system and economic burden due to viral outbreak.High transmission rate and infectious nature make COVID-19 pandemic.Effectively managing outbreak and controlling spread is challenging.Despite valiant efforts to contain the COVID-19 outbreak,the situation has deteriorated to the point that there were no viable preventive therapies to treat this disease.Developing effective treatment for COVID-19 has been a complex and ongoing endeavor.Objective:The aim of this systematic review is to evaluate the structure,epidemiology,pathophysiology,po-tential therapeutic treatments,and preventive measures adopted in Traditional Chinese Medicine(TCM)in the management of Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)virus.Methods:A systematic methodology has been adopted in this study following PRISMA guidelines.Several key-words like“COVID-19”“SARS-CoV-2”“Coronavirus”and“Traditional Chinese Medicine”were searched in var-ious databases like ScienceDirect,Google Scholar,PubMed,and ResearchGate during the time span of 2010-2023.Clinical trials and studies relevant to this study were identified through a systematic search strategy fol-lowing PRISMA methodology.Results:In this systematic review,after careful evaluation and reviewing of literature through PRISMA guidelines,145 relevant studies were identified,reviewed and included in this systematic review.A detailed study has been summarized on virus structure,etiology,epidemiology characteristics,pathophysiology,and potential therapeutic treatments and preventive measures adopted in traditional medicinal system in the treatment of infected COVID-19 patients.Conclusion:SARS-CoV-2 transmission dynamics and pathogenesis were revealed by the etiology analysis.COVID-19 symptoms and severe disease outcomes can be managed with certain repurposed drugs,traditional medicinal system and antivirals,which have been shown to be effective in treating COVID-19 infection.
