FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    Reliability Modeling in Industry 4.0

Reliability Modeling in Industry 4.0

Mangey Ram, Liudong Xing
    Product form
      FORMAT: Paperback / softback

      R 6,474.00 Price and availability exclusive to website

      YOU COULD EARN 6,474 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 20 - 30 Business Days
      BUY NOW PAY LATER
      From R 1,079.00 per month!
      3x monthly payments of R 2,158.00 with
      4x fortnightly payments of R 1,618.50 with
      Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications.
      Format: CONTRIBUTORS: Mangey Ram, Liudong Xing EAN: 9780323992046 COUNTRY: United States PAGES: WEIGHT: 450 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier - Health Sciences Division DATE PUBLISHED: 2023-03-15 CITY: GENRE: TECHNOLOGY & ENGINEERING / Manufacturing WIDTH: 152 cm SPINE:

      Book Themes:

      Industrial chemistry and manufacturing technologies

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Prof. Mangey Ram received the Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around fourteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era (Deemed to be University), Dehradun, India & Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia. Before joining the Graphic Era, he was a Deputy Manager (Probationary Officer) with Syndicate Bank for a short period. Liudong Xing is currently a Professor with the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, USA. Her research interests include reliability and resilience modeling, analysis and optimization of complex systems and networks (e.g., Internet of Things and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was co-recipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 230 journal articles, and two books titled “Binary Decision Diagrams and Extensions for System Reliability Analysis” and “Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors”. She has served as an Associate Editor or Editorial Board member of multiple journals including Reliability Engineering & System Safety, IEEE Internet of Things Journal, International Journal of Systems Science, and International Journal of Mathematical, Engineering and Management Sciences.? She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.
      Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications.
      Format: CONTRIBUTORS: Mangey Ram, Liudong Xing EAN: 9780323992046 COUNTRY: United States PAGES: WEIGHT: 450 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier - Health Sciences Division DATE PUBLISHED: 2023-03-15 CITY: GENRE: TECHNOLOGY & ENGINEERING / Manufacturing WIDTH: 152 cm SPINE:

      Book Themes:

      Industrial chemistry and manufacturing technologies

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Prof. Mangey Ram received the Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around fourteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era (Deemed to be University), Dehradun, India & Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia. Before joining the Graphic Era, he was a Deputy Manager (Probationary Officer) with Syndicate Bank for a short period. Liudong Xing is currently a Professor with the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, USA. Her research interests include reliability and resilience modeling, analysis and optimization of complex systems and networks (e.g., Internet of Things and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was co-recipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 230 journal articles, and two books titled “Binary Decision Diagrams and Extensions for System Reliability Analysis” and “Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors”. She has served as an Associate Editor or Editorial Board member of multiple journals including Reliability Engineering & System Safety, IEEE Internet of Things Journal, International Journal of Systems Science, and International Journal of Mathematical, Engineering and Management Sciences.? She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account