Dr. B. JegaJothi
Indexed In: Google scholar
Release Date: To be updated | Copyright:©2026 | Pages: 533
ISBN10: 0 | ISBN13: 0
Aircraft Accident Forensics for Black Box Signal Decoding and Predictive Analytics presents a comprehensive exploration of modern aviation accident investigation through the integration of black box data analysis, digital forensics, artificial intelligence, and predictive analytics. The book examines the principles, technologies, and methodologies involved in recovering, processing, and interpreting Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR) information for accurate accident reconstruction and safety improvement. It covers aircraft investigation frameworks, flight data acquisition, signal processing, machine learning, deep learning, reinforcement learning, digital twins, IoT-based monitoring, and cloud-enabled aviation analytics. By combining traditional forensic approaches with advanced intelligent technologies, this book provides valuable insights into predictive fault detection, aircraft health monitoring, and proactive aviation safety management. It serves as a useful reference for aerospace engineers, aviation researchers, forensic investigators, AI professionals, and postgraduate students working in intelligent transportation and aviation safety systems.
Aircraft Accident Forensics for Black Box Signal Decoding and Predictive Analytics covers advanced methodologies for modern aviation accident investigation, focusing on black box data recovery, signal processing, forensic analysis, and AI-driven safety solutions. The book explores Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR) technologies, data acquisition, machine learning, deep learning, predictive analytics, digital twins, IoT-based monitoring, and cloud aviation platforms. It examines intelligent approaches for anomaly detection, fault prediction, aircraft health monitoring, and accident reconstruction. The book provides valuable knowledge for aerospace researchers, aviation professionals, engineers, forensic investigators, and students working in aviation safety and intelligent systems.
Dr. B. JegaJothi obtained her B.E in Electrical and Electronics engineering from Anna University, Chennai, Tamil Nadu, India in the year of 2006 and Master of engineering in Power Electronics and Drives in St.Peter's University, Chennai, Tamil Nadu, India in the year of 2011 respectively. She received his Ph.D in electrical engineering from Anna University, Chennai, Tamil Nadu, India in the year of 2022. She has over nine years of Teaching Experience and currently, she is working as Research Associate, SRS Tech Solutions, Chennai. She has presented many papers in national and international Conferences. Her Research interest covers Renewable Energy Systems, Artificial Intelligence techniques, Neural Networks and Embedded systems.
