This 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.
Table of Content
1.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.
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