000 02760nam a22004815i 4500
001 978-3-540-77812-7
003 DE-He213
005 20161121230547.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540778127
_9978-3-540-77812-7
024 7 _a10.1007/978-3-540-77812-7
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aNew Computational Methods in Power System Reliability
_h[electronic resource] /
_cedited by David Elmakias.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXIV, 404 p. 119 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v111
505 0 _aBasic Notions of Power System Reliability -- Basic Tools and Techniques -- Reliability of Generation Systems -- Reliability Assessment for Elements of Transmission and Transformation Systems -- Reliability of Distribution Systems.
520 _aPower system reliability is in the focus of intensive study due to its critical role in providing energy supply to the modern society. This book is not aimed at providing the overview of the state of the art in power system reliability. On the contrary, it describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks. It is suitable for different types of readers. It primarily addresses practising reliability engineers and researchers who have an interest in reliability and performability analysis of power systems. It can also be used as a textbook for senior undergraduate or graduate courses in electrical engineering.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aElmakias, David.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540778103
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v111
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-77812-7
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c500573
_d500573