Book

Description

Ai-Powered Quality Engineering The Future of Inspection, Welding, NDT, Safety and Predictive Maintenance What happens when Artificial Intelligence meets Quality Engineering? AI-Powered Quality Engineering explores how Artificial Intelligence, Machine Learning, Computer Vision, IIoT, Digital Twins and Predictive Analytics are transforming the way engineers inspect, monitor, predict and manage industrial assets. From welding inspection and Non-Destructive Testing (NDT) to pipeline integrity, storage tank inspection, corrosion monitoring, predictive maintenance and industrial safety, this book presents a practical and research-oriented vision of the intelligent engineering enterprise. The book explains how industrial data can move through a powerful cycle: Asset → Data → AI → Prediction → Engineering Judgment → Risk → Decision → Action → Feedback A central principle of the book is simple: IIoT provides the data. AI provides the intelligence. Engineering judgment provides the decision. Rather than presenting AI as a replacement for engineers, the book argues for a future of Human-AI Collaboration, where technology enhances inspection capability while qualified professionals retain responsibility for verification, evaluation, safety and engineering decisions.Readers will explore: AI-powered welding inspection and defect detection, Computer vision for industrial visual inspection, AI-assisted NDT and radiographic/ultrasonic analysis, Machine learning for defect prediction, IIoT and real-time industrial intelligence, Predictive maintenance and Remaining Useful Life, AI-powered pipeline and storage tank integrity.