National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Reliability of Power Oil Transformers
Ertl, Jakub ; Szabó,, Radek (referee) ; Kratochvíl, Petr (referee) ; Hammer, Miloš (advisor)
The doctoral thesis deals with design of non-invasive methods for estimated reliability analysis of power oil transformers. Such procedures also solve two-state and multistate reliability problems together with applying of gained reliability characteristics in planning further operation of these non-rotating electrical machines. Reliability module for diagnostic system, which is developed at the training workplace, is designed in conclusion of this thesis. All the above procedures were verified on data obtained from diagnostic measurements of ten power oil transformers operating in different power plants in the Czech Republic.
Progress Prediction of Diagnostic Quantities
Akhmadishina, Alina ; Hammer, Miloš (referee) ; Ertl, Jakub (advisor)
The work deals with the analysis of time series of diagnostic quantities measured in power oil transformers. The first part includes power oil transformers and the description of diagnostic variables that are measured inside these non-rotating electrical machines. The next section introduces the decomposition model of time series including analysis of all its components. The last part deals with the predictions of the likely survival time of power oil transformers operating in different power plants in the Czech Republic.
Reliability of Power Oil Transformers
Ertl, Jakub ; Szabó,, Radek (referee) ; Kratochvíl, Petr (referee) ; Hammer, Miloš (advisor)
The doctoral thesis deals with design of non-invasive methods for estimated reliability analysis of power oil transformers. Such procedures also solve two-state and multistate reliability problems together with applying of gained reliability characteristics in planning further operation of these non-rotating electrical machines. Reliability module for diagnostic system, which is developed at the training workplace, is designed in conclusion of this thesis. All the above procedures were verified on data obtained from diagnostic measurements of ten power oil transformers operating in different power plants in the Czech Republic.
Progress Prediction of Diagnostic Quantities
Akhmadishina, Alina ; Hammer, Miloš (referee) ; Ertl, Jakub (advisor)
The work deals with the analysis of time series of diagnostic quantities measured in power oil transformers. The first part includes power oil transformers and the description of diagnostic variables that are measured inside these non-rotating electrical machines. The next section introduces the decomposition model of time series including analysis of all its components. The last part deals with the predictions of the likely survival time of power oil transformers operating in different power plants in the Czech Republic.

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