LEADER 00000cam a2200673 i 4500
001 on1112323308
003 OCoLC
005 20220702022102.0
006 m o d
007 cr cnu---unuuu
008 190816s2002 gw a ob 001 0 eng d
020 9783662049457|q(electronic book)
020 3662049457|q(electronic book)
020 |z9783642077548
024 7 10.1007/978-3-662-04945-7|2doi
035 (OCoLC)1112323308
040 GW5XE|beng|erda|epn|cGW5XE|dOCLCF|dEBLCP|dUKBTH|dUKAHL
|dOCLCO|dN$T|dOCLCQ|dOCLCO
049 RIDW
050 4 TK9220
072 7 TK|2lcco
082 04 621.48/35|223
090 TK9220
245 00 Power plant surveillance and diagnostics :|bapplied
research with artificial intelligence /|cDa Ruan, Paolo F.
Fantoni, eds.
264 1 Berlin ;|aNew York :|bSpringer,|c2002.
300 1 online resource (xiii, 379 pages) :|billustrations.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|2rdaft
490 1 Power systems
500 Includes 14 contributions based on works presented at a
workshop held in Halden, Norway, Sept. 3-4, 2001.
504 Includes bibliographical references and index.
505 00 |tForeword /|rRobert E. Uhrig --|tPreface /|rDa Ruan and
Paolo F. Fantoni --|g1.|tModern Approaches and Advanced
Applications for Plant Surveillance and Diagnostics: An
Overview /|rDa Ruan --|g2.|tRegulatory Treatment of On-
line Surveillance and Diagnostic Systems /|rRobert E.
Uhrig --|g3.|tOptimized Maintenance and Management of
Ageing of Critical Equipment in Nuclear Power Plants /
|rHashem M. Hashemian --|g4.|tOverview of Recent KFKI AEKI
Activities in the Field of Plant Surveillance and
Diagnostics /|rSandor Kiss, Sandor Lipcsei and Janos Vegh
--|g5.|tAdaptive Model-Based Control of Non-linear Plants
Using Soft Computing Techniques /|rPatricia Melin and
Oscar Castillo --|g6.|tBayesian Networks in Decision
Support /|rTomas O. Carlsson and Ronald Wennersten.
520 In little more than a decade, the availability of nuclear
power plants in the United States and most European and
Pacific Rim countries has increased dramaticallyƯ from
around 60% to about 90%. Such improvement is equivalent to
adding approximately 30,000 MW e of new generating
capacity in this period in the United States and perhaps
an equal amount elsewhere. Some of this improvement has
been due to longer fuel cycles-increases from 12 months to
18 or 24 months, but the major gains have been due to on-
line maintenance and improved operation and planning by
the utilities, accomplished primarily by training of plant
operators and support personnel. However, there are
emerging indications that the benefits of training are
asymptotically approaching the limit beyond which it
cannot improve availability and that plant personnel
errors may also be approaching a comparable lower limit.
Indeed, further improvement appears to be dependent upon
the effective introduction and use of plant operational
support systems. The Halden Reactor Project (HRP)
historically has focused on plant operational support
system, i. e., such tools as COPMA (Computerized OPeration
MAnuals), PEANO (Process Evaluation and Analysis by Neural
Operators), TEMPO (ThErMal Performance and Optimization),
PLASMA (PLAnt Safety Monitoring and Assessment system),
and others.
588 0 Print version record.
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Nuclear power plants|xControl rooms|0https://id.loc.gov/
authorities/subjects/sh86003721|xAutomatic control.|0https
://id.loc.gov/authorities/subjects/sh00007651
650 0 Nuclear facilities|0https://id.loc.gov/authorities/
subjects/sh85092977|xAutomatic control.|0https://
id.loc.gov/authorities/subjects/sh00007651
650 0 Supervisory control systems.|0https://id.loc.gov/
authorities/subjects/sh98003168
650 0 Artificial intelligence.|0https://id.loc.gov/authorities/
subjects/sh85008180
650 7 Nuclear power plants|xControl rooms.|2fast|0https://
id.worldcat.org/fast/1040458
650 7 Automatic control.|2fast|0https://id.worldcat.org/fast/
822702
650 7 Nuclear facilities.|2fast|0https://id.worldcat.org/fast/
1040096
650 7 Artificial intelligence.|2fast|0https://id.worldcat.org/
fast/817247
650 7 Supervisory control systems.|2fast|0https://
id.worldcat.org/fast/1139089
650 7 artificial intelligence.|2aat
655 4 Electronic books.
700 1 Ruan, Da.|0https://id.loc.gov/authorities/names/n94068682
700 1 Fantoni, Paolo F.,|d1951-|0https://id.loc.gov/authorities/
names/n2002010505
776 08 |iPrint version:|tPower plant surveillance and
diagnostics.|dBerlin ; New York : Springer, ©2002
|z3540432477|w(DLC) 2002021692|w(OCoLC)49421681
830 0 Power systems.|0https://id.loc.gov/authorities/names/
n2001005871
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=2690216|zOnline ebook via EBSCO. Access
restricted to current Rider University students, faculty,
and staff.
856 42 |3Instructions for reading/downloading the EBSCO version
of this ebook|uhttp://guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d202207013|cEBSCO|tEBSCOebooksacademic July NEW 6029
|lridw
994 92|bRID
