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This book covers challenges and solutions in establishing Industry
4.0 standards for Internet of Things. It proposes a clear view
about the role of Internet of Things in establishing standards. The
sensor design for industrial problem, challenges faced, and
solutions are all addressed. The concept of digital twin and
complexity in data analytics for predictive maintenance and fault
prediction is also covered. The book is aimed at existing problems
faced by the industry at present, with the goal of cost-efficiency
and unmanned automation. It also concentrates on predictive
maintenance and predictive failures. In addition, it includes
design challenges and a survey of literature.
This book gathers the best articles presented by researchers and
industrial experts at the International Conference on "Innovative
Design, Analysis and Development Practices in Aerospace and
Automotive Engineering (I-DAD 2020)". The papers discuss new design
concepts, and analysis and manufacturing technologies, with a focus
on achieving improved performance by downsizing; improving the
strength-to-weight ratio, fuel efficiency and operational
capability at room and elevated temperatures; reducing wear and
tear; addressing NVH aspects, while balancing the challenges of
Euro VI/Bharat Stage VI emission norms, greenhouse effects and
recyclable materials. Presenting innovative methods, this book is a
valuable reference resource for professionals at educational and
research organizations, as well as in industry, encouraging them to
pursue challenging projects of mutual interest.
This book gathers the best articles presented by researchers and
industrial experts at the International Conference on "Innovative
Design, Analysis and Development Practices in Aerospace and
Automotive Engineering (I-DAD 2020)". The papers discuss new design
concepts, and analysis and manufacturing technologies, with a focus
on achieving improved performance by downsizing; improving the
strength-to-weight ratio, fuel efficiency and operational
capability at room and elevated temperatures; reducing wear and
tear; addressing NVH aspects, while balancing the challenges of
Euro VI/Bharat Stage VI emission norms, greenhouse effects and
recyclable materials. Presenting innovative methods, this book is a
valuable reference resource for professionals at educational and
research organizations, as well as in industry, encouraging them to
pursue challenging projects of mutual interest.
This book covers challenges and solutions in establishing Industry
4.0 standards for Internet of Things. It proposes a clear view
about the role of Internet of Things in establishing standards. The
sensor design for industrial problem, challenges faced, and
solutions are all addressed. The concept of digital twin and
complexity in data analytics for predictive maintenance and fault
prediction is also covered. The book is aimed at existing problems
faced by the industry at present, with the goal of cost-efficiency
and unmanned automation. It also concentrates on predictive
maintenance and predictive failures. In addition, it includes
design challenges and a survey of literature.
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