LEADER 04562nam 22006135 450 001 9910983355103321 005 20241126115238.0 010 $a9783031762536 010 $a3031762533 024 7 $a10.1007/978-3-031-76253-6 035 $a(CKB)36679495900041 035 $a(MiAaPQ)EBC31805371 035 $a(Au-PeEL)EBL31805371 035 $a(DE-He213)978-3-031-76253-6 035 $a(EXLCZ)9936679495900041 100 $a20241126d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Diagnostics of Electric Power Equipment /$fby Vitalii Babak, Sergii Babak, Artur Zaporozhets 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (440 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v573 311 08$a9783031762529 311 08$a3031762525 327 $a1.Tasks and Main Methods of Statistical Diagnostics of Electric Power Equipment -- 2.Linear Random Functions as Models of Diagnostic Signals -- 3.Stochastic Models of Diagnostic Signals Arising During the Operation of Electrical Equipment -- 4.Linear Periodic Random Processes in Constructing Models Characterizing the Operation of Electrical Equipment -- 5.Statistical Assessment of Diagnostic Parameters -- 6.Simulation of Diagnostic Signals of Electric Equipment -- 7.Information and Measuring Systems For Statistical Diagnostics of Electrical Equipment -- 8.Experimental Studies of Statistical Diagnostics Information and Measuring Systems -- 9.Tasks for Creating the Environmental Monitoring Systems for Energy Objects -- 10.Unmanned Aerial Measurement Systems for Monitoring the Environmental Area of NPP and TPP. 330 $aThis book considers the issues of constructing mathematical probabilistic models of diagnostic signals, the development of statistical methods of their analysis in order to make diagnostic decisions and, finally, the technical implementation of the proposed diagnostic methods. Following the concept of primacy of the mathematical model of the diagnostic signal, the authors considered it expedient to consider first of all the questions connected with the theory of random processes possessing infinitely divisible distribution laws, linear and linear periodic random processes. Considerable attention is paid to the issues of simulation modeling of diagnostic signals and their statistical evaluation. Modern element base and new information technologies allowed to develop, build and practically test a number of experimental samples of information-measuring systems of statistical diagnostics of electric power engineering objects. Among these IMS, the systems are realized by means of unmanned diagnostic complexes, and also IMS of vibrodiagnostics of moving units of electric machines represents an important role. A large amount of experimental research has shown the operability and efficiency of the built IMS samples. Particular attention is paid to the selection of diagnostic spaces, formation of training sets, construction of solving rules for diagnosis and classification of EE defects. The authors do not pretend to a comprehensive consideration of the issues of EE diagnostics using statistical methods and IMS realized on their basis. At the same time, the results of researches, stated in this monograph, were a natural continuation of the subject of application of statistical methods in the field of control, monitoring and diagnostics for objects of electric power industry. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v573 606 $aElectric power production 606 $aElectric power distribution 606 $aPower electronics 606 $aElectrical Power Engineering 606 $aEnergy Grids and Networks 606 $aPower Electronics 615 0$aElectric power production. 615 0$aElectric power distribution. 615 0$aPower electronics. 615 14$aElectrical Power Engineering. 615 24$aEnergy Grids and Networks. 615 24$aPower Electronics. 676 $a621.31 700 $aBabak$b Vitalii$01437507 701 $aBabak$b Sergii$01785308 701 $aZaporozhets$b Artur$01437508 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983355103321 996 $aStatistical Diagnostics of Electric Power Equipment$94316879 997 $aUNINA