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Intelligent Reliability Analysis Using MATLAB and AI
Publisher:
BPB Publications
| Author:
Bhargava, Sharma
| Language:
English
| Format:
Paperback
Publisher:
BPB Publications
Author:
Bhargava, Sharma
Language:
English
Format:
Paperback
₹944
Save: 10%
In stock
Ships within:
1-4 Days
In stock
ISBN:
Page Extent:
196
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). The book keeps you engaged with a systematic and detailed explanation of step-wise MATLAB-based implementation of electronic components. These explanations and illustrations will help the readers to predict fault and failure well before time.
Description
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). The book keeps you engaged with a systematic and detailed explanation of step-wise MATLAB-based implementation of electronic components. These explanations and illustrations will help the readers to predict fault and failure well before time.
About Author
Dr Cherry Bhargava is working as an Associate Professor at the Department of Computer Science and Engineering, Symbiosis Institute of Technology, Pune, Maharashtra, India. She holds a Ph.D. (ECE) specialization in Artificial Intelligence, M. Tech (VLSI Design & CAD), and B. Tech (EIE) degrees. She is GATE qualified with All India Rank 428. She has authored about 50 technical research papers in SCI, Scopus indexed quality journals, and national/international conferences. She has 18 books to her credit. She has registered six copyrights and filed twenty-one patents. Her four Australian innovation patents are granted. She is a recipient of various national and international awards for being an outstanding faculty in engineering and an excellent researcher.
Dr. Pardeep Kumar Sharma is working as an associate professor at Lovely Professional University, Punjab, India. He has more than 14 years of teaching experience in the field of applied chemistry, artificial intelligence, DOE, and nanotechnology. He has completed his Ph.D. from Lovely Professional University and his post-graduation (Applied Chemistry) from Guru Nanak Dev University, Amritsar. He has seven books to his credit in the field of nanotechnology and artificial intelligence. His four Australian innovation patents are granted and 14 Indian patents are published.
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