Malik H., Iqbal A., Yadav K.A. (Eds.) Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems: Novel Methods for Condition

Springer, 2020. — 499 p. — (Advances in Intelligent Systems and Computing 1096). — ISBN: 981151531X.This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book's goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes.
The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.A Conceptual Introduction and Review on Condition Monitoring and Diagnostics of Electrical and Mechanical Systems
Fault Tolerant Controller Schemes for Single and Multiple Mobile Robots
Faults and Fault Detection Methods in Electric Drives
Introduction to Condition Monitoring of Wide Area Monitoring System
Introduction to Condition Monitoring of Electrical Systems
Condition Monitoring, and Fault Detection and Diagnostics of Wind Energy Conversion System (WECS)
Condition Monitoring, Fault Detection and Diagnosis (FDD) of Photovoltaic System and Its Approaches
Omkar Singh, Amit Kumar Yadav and Anjan Kumar Ray Introduction to Condition Monitoring of PV System
Soft Computing Methods and Its Applications in Condition Monitoring of DGS—A Review
Introduction to Conditioning Monitoring of Mechanical Systems.
Novel Application of Artificial Neural Network Techniques for Prediction of Air Pollutants Using Stochastic Variables for Health Monitoring: A Review
Application of Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems
Intelligent System for Monitoring and Recognising the Type of Domestic Harmonic Loads
Fault Analysis of Variable Frequency Transformer (VFT) for Power Transfer In-Between Synchronous Grids
Farhad Ilahi Bakhsh, Dheeraj Kumar Khatod and Hasmat Malik
Performance Enhancement and Extension of DGA-Based Transformer Fault Diagnosis Methods Using Soft-Computing Techniques
Big-Data Analytics Based Energy Analysis and Monitoring for Multi-storey Hospital Buildings: Case Study
Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers
Novel Applications of Soft Computing Techniques for Comparative Analysis of Maximum PowerPoint Tracking in Solar Photo-Voltaic System Under Perturb Conditions
Mohammad Junaid Khan, Lini Mathew and Amit Kumar Yadav
Novel Application of Relief Algorithm in Cascade ANN Model for Prognosis of Photovoltaic Maximum Power Under Sunny Outdoor Condition of Sikkim India: A Case Study
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
Artificial Neural Networks Based Condition Monitoring of Air Pollutants for Allahabad Cities in India
Theoretical and Experimental Investigation of Spur Gearbox with Cracked Pinion Tooth Using Dynamic Model for Condition Monitoring
Experimental Study of Sideband Harmonics in Vibration Spectrum of Two-Stage Planetary Gear Box for Condition Monitoring
Vibration-Based Fault Diagnosis of a Bevel and Spur Gearbox Using Continuous Wavelet Transform and Adaptive Neuro-Fuzzy Inference System