Diagnostic Systems For Energy Equipments (Studies in Systems, Decision and Control, 281)

✍ Scribed by Vitalii P. Babak, Serhii V. Babak, Mykhailo V. Myslovych, Artur O. Zaporozhets, Valeriy M. Zvaritch

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 143
• Category: Library

✦ Synopsis

This book examines key issues in ensuring the operational reliability of energy facilities. In this regard, it analyzes mathematical models of diagnostic signals that arise during the operation of power equipment; reviews the main findings of research into their characteristics; presents diagnostics methods for selected types of electric power and heat engineering equipment; and covers a range of diagnostic and monitoring systems and devices for power equipment. Given its scope, the book offers a valuable resource for researchers, engineers and specialists, as well as instructors and graduate students at institutions of higher learning.

✦ Table of Contents

Introduction
Contents
1 Principles of Construction of Systems for Diagnosing the Energy Equipment
1.1 Objects of Energy Supply and Operational Reliability of Their Components
1.1.1 Main Types of Electric Power Equipment
1.1.2 Main Components of Thermal Power Facilities
1.1.3 Main Indicators of Operational Reliability of Energy Facilities
1.2 Generalized Structure of Systems for Diagnosing Energy Objects
1.2.1 Features of Construction of Systems for Diagnosing Energy Objects
1.2.2 Informational Support of Systems
1.3 Physical Processes Characterizing the Technical Condition of Energy Facilities
References
2 Methods and Models for Information Data Analysis
2.1 Linear Random Processes
2.2 Linear AR and ARMA Processes
2.2.1 Kernels of Linear AR and ARMA Processes
2.2.2 Characteristic Functions of Linear AR and ARMA Processes
2.3 Linear Random Processes with Periodic Structures
2.4 Linear Autoregressive Processes with Periodic Structures
2.5 Inverse Problem of AR Processes
2.6 Statistical Splines Application
2.6.1 Forecasting the Time of Failure Using Statistical Spline-Functions
2.6.2 Forecasting Laminated Magnetic Cores Failures
2.6.3 Biomedical Applications
2.7 Estimation of Random Signals Stationarity
2.8 A Procedure of Decision-Making Rule Development
References
3 Simulation and Software for Diagnostic Systems
3.1 Computer Simulation of Noise and Rhythm Signals
3.2 Diagnostic Systems Software
3.3 Neural Networks in Diagnostic Systems
References
4 Technical Provision of Diagnostic Systems
4.1 Acoustic Devices and Systems for Power Plant Modules Diagnostics
4.2 Diagnostic System for Electric Power Facilities
4.3 Diagnostic System for Heat Power Facilities
4.4 Combustion Process Features
4.5 Application of Developed Methods to a Renewable Energy Expert System
References