Intelligent Reliability Analysis Using MATLAB and AI

Intelligent Reliability Analysis using MATLAB and AI explains a roadmap to analyze and predict various electronic components’ future life and performance reliability. Deeply narrated and authored by reliability experts, this book empowers the reader to deepen their understanding of reliability identification, its significance, preventive measures, and various techniques.

The book teaches how to predict the residual lifetime of active and passive components using an interesting use case on electronic waste. The book will demonstrate how the capacity of re-usability of electronic components can benefit the consumer to reuse the same component, with the confidence of successful operations. It lists key attributes and ways to design experiments using Taguchi’s approach, based on various acceleration factors.

This book makes it easier for readers to understand reliability modeling of active and passive components using the Artificial Neural Network, Fuzzy Logic, Adaptive Neuro-Fuzzy Inference System (ANFIS).

What you will learn

Optimize various acceleration factors for exploring the residual life of components experimentally.
Design an intelligent model to predict the upcoming faults and failures of electronic components and make provision for timely replacement of the fault components.
Design experiments using Taguchi’s approach.
Understand reliability modeling of active and passive components using the Artificial Neural Network and Fuzzy Logic.

This book is for current and aspiring emerging tech professionals, researchers, students, and anyone who wishes to understand and diagnose the product life of electronic components using the power of artificial intelligence and various experimental techniques.


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