LEADER 02509nam 22004933u 450 001 9910957343003321 005 20251116212757.0 010 $a9787560999975 010 $a7560999972 035 $a(CKB)4330000000001225 035 $a(EBL)4457903 035 $a(MiAaPQ)EBC4457903 035 $a(Au-PeEL)EBL4457903 035 $a(CaPaEBR)ebr11186938 035 $a(OCoLC)946310443 035 $a(Exl-AI)4457903 035 $a(EXLCZ)994330000000001225 100 $a20160404d2014|||| u|| | 101 0 $achi 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a????????????????????? 205 $a1st ed. 210 $aHuazhong $cHuazhong University of Science and Technology Press$d2014 215 $a1 online resource (413 p.) 300 $aDescription based upon print version of record. 327 $a? ??? ; ? ??????? 330 $aThis book delves into the dynamics of hydroelectric generator units, focusing on modeling theories and intelligent fault diagnosis methods. It presents a comprehensive study on the characteristics extraction, optimal pattern recognition, and the development of monitoring and diagnostic systems. The authors aim to enhance the understanding of complex nonlinear dynamics and fault diagnosis within large-scale hydroelectric generator units, addressing the safety and stability challenges they pose. The book is structured into four parts, covering dynamic modeling, signal processing, intelligent reasoning, and system monitoring and diagnostics. It is intended for researchers, engineers, and professionals in the field of hydroelectric power generation, offering theoretical insights and practical applications. The work is notably interdisciplinary, involving engineering mechanics, electrical engineering, and applied mathematics.$7Generated by AI. 606 $aHydroelectric power plants$7Generated by AI 606 $aElectric machinery, Synchronous$7Generated by AI 615 0$aHydroelectric power plants 615 0$aElectric machinery, Synchronous 700 $aZhou$b Jianzhong$01882102 701 $aZhang$b Yongchuan$01882103 701 $a???$01882104 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910957343003321 996 $a?????????????????????$94497142 997 $aUNINA