The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The impact of DC current on excitation characteristic of transformer is analyzed under bipolar asymmetric operation of HVDC power transmission system. The operating performance of single-phase transformer with three-limb core located near DC grounding pole is measured, and the relationship of vibration, noise and oil temperature of the transformer with such parameters as unbalance degree of HVDC bipolar...
Recent developments of modern technologies such as cloud computing, wearable sensor devices and big data have significantly impacted people's daily lives, and offer real potential for an Internet-wide, people-centric ecosystem. These advances in technology will considerably extend human capabilities in acquiring, consuming and sharing personal health information. A future in which we are all equipped...
The drive toward smart cities alongside the increasing adoption of personal sensors is leading to big sensor data, which is so large and complex that traditional methods for utilizing it are inadequate. Although systems exist for storing and managing large-scale sensor data, the real value of such data are the insights it could enable. However, no current platforms enable sensor data to be taken from...
This paper combines latest research achievements of financial structure and financial crisis, with the use of Chinese listed companies' data from 2007 to 2008, and examines the impact of companies' different financial structure, especially the debt structure on their output during the subprime mortgage crisis by empirical study. The empirical results reveal that the change in output growth has remarkably...
The estimation of oscillation modes is important to the monitoring and damping of low frequency oscillation in power system. Ambient data caused by low level stochastic disturbances can be used to identify the low frequency oscillation properties. In this paper, the autoregressive moving averaging(ARMA) method is used to analyze the ambient data. As a key step in the ARMA method, the selection of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.