This paper presents a life prediction method based on the parameters of the actual operation history data collected by the existing converter power unit sensors.Firstly, the characteristics of junction saddle accessorie temperature curves of forced air-cooled radiator and power unit are extracted, and the deep learning neural network architecture i
Minimally invasive endoscopic removal of primary inner ear schwannomas
Primary Inner Ear Schwannomas (PIES) are rare benign tumors.Due to their slow growth, they are often missed during initial screening evaluation, and thus diagnosis is often delayed.Careful analysis of history with scrutiny of MRI should help to differentiate them from other pathologies resembling in symptoms.Here, Baby Bouncer we presented 4 cases
THE PRIORITY WAYS OF THE DEVELOPMENT OF THE REGIONAL HEALTH PROTECTION
This article displays the characteristic of a complex of measures on 82% VANILLA SALT CHOC BAR differentiation of powers and obligations between various levels of authority in sphere of public health services, on maintenance of equation of volumes of rendering of medical aid to citizens with volumes of its financing.The special attention is given t
Experimental Characterization of Ionic Polymer Metal Composite as a Novel Fractional Order Element
Ionic polymer metal composites (IPMCs) are electroactive materials made of ionic polymer thin membranes with platinum metallization on their surfaces.They are interesting materials due to not only their electromechanical applications as transducers but also to their electrochemical features and the relationship between the ionic/solvent current and
Designation of an Indicator for flashover prediction of porcelain and glass insulators based on experimental tests.
Flashover of polluted insulators in contaminated areas is one of the most important factors influencing the operation of transmission and distribution lines and finally line outages.Therefore, it is essential to prevent and detect flashover in the insulators.Hence, utilizing the insulator status monitoring systems and predicting their functions hav