LEADER 02426nam 2200409 450 001 996279870603316 005 20231206173957.0 010 $a0-7381-4217-4 024 7 $a10.1109/IEEESTD.1979.8684545 035 $a(CKB)3780000000089197 035 $a(NjHacI)993780000000089197 035 $a(EXLCZ)993780000000089197 100 $a20231206d1979 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aANSI/IEEE Std 493-1980 $eIEEE recommended practice for the design of reliable industrial and commercial power systems /$fInstitute of Electrical and Electronics Engineers 210 1$aPiscataway, New Jersey :$cIEEE,$d1979. 215 $a1 online resource (216 pages) 330 $aSuperseded. The fundamentals of reliability analysis as it applies to the planning and design of industrial and commercial electric power distribution systems are presented. Included are basic concepts of reliability analysis by probability methods, fundamentals of power system reliability evaluation, economic evaluation of reliability, cost of power outage data, equipment reliability data, examples of reliability analysis. Emergency and standby power, electrical preventive maintenance, and evaluating and improving reliability of the existing plant are also addressed. The presentation is self-contained and should enable trade-off studies during the design of industrial and commercial power systems design, installation, and maintenance practices for electrical power and grounding (including both power-related and signal-related noise control) of sensitive electronic processing equipment used in commercial and industrial applications are presented. 517 $a493-1980 - IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems 517 $aANSI/IEEE Std 493-1980: IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems 606 $aElectric network analysis 606 $aElectric power distribution 606 $aElectric power systems 615 0$aElectric network analysis. 615 0$aElectric power distribution. 615 0$aElectric power systems. 676 $a621.3192 801 0$bNjHacI 801 1$bNjHacl 906 $aDOCUMENT 912 $a996279870603316 996 $aANSI$92072434 997 $aUNISA