Fail Detection of HV Machines Through Discharge Analysis – Focused on Transformers
|
| Title | Fail Detection of HV Machines Through Discharge Analysis – Focused on Transformers |
| Authors | |
| Abstract | High operational reliability of the power transformers is one of the most important features. Fast failure detection is the main aim. The power transformers producer faces the customer’s pressure not only for failure detection and prediction. Recently is also requested a failure identification. Economical pressure requires reducing of the revisions budget. This is the reason why the system of diagnostics has to identify transformer failure. It helps to reduce the time needed for preparation and repair. Recent known detection methods can be divided to on-line and off-line method. Both methods have their own advantages and disadvantages. The results are not always satisfactory. Paper deals with summarization of recently used partial discharges (PD) detection methods and their application in the power transformer diagnostics. |
| Publisher | Faculty of Electrical Engineering and Computer Science |
| Date | 2011-06-20 |
| Source | Advances in Electrical and Electronic Engineering Vol 6, No 3 (2007): September |
| Rights | Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journals published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |