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    Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and Maintenance Engineering

    Proceedings of IncoME-VI and TEPEN 2021 by Zhang, Hao; Feng, Guojin; Wang, Hongjun;

    Performance Engineering and Maintenance Engineering

    Series: Mechanisms and Machine Science; 117;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 213.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        90 774 Ft (86 451 Ft + 5% VAT)
      • Discount 20% (cc. 18 155 Ft off)
      • Discounted price 72 619 Ft (69 161 Ft + 5% VAT)

    90 774 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed. 2023
    • Publisher Springer
    • Date of Publication 19 September 2023
    • Number of Volumes 2 pieces, Book

    • ISBN 9783030990770
    • Binding Paperback
    • No. of pages1102 pages
    • Size 235x155 mm
    • Weight 1714 g
    • Language English
    • Illustrations 138 Illustrations, black & white; 571 Illustrations, color
    • 538

    Categories

    Short description:

    This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 6th International Conference on Maintenance Engineering and the 2021 conference of the Efficiency and Performance Engineering Network (IncoME-VI  TEPEN 2021), held in Tianjin, China on October 20-23, 2021. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novelresearch directions and foster new multidisciplinary collaborations.

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    Long description:

    This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 6th International Conference on Maintenance Engineering and the 2021 conference of the Efficiency and Performance Engineering Network (IncoME-VI  TEPEN 2021), held in Tianjin, China on October 20-23, 2021. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

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    Table of Contents:

    Chapter 1: ?An Optical Gyroscope Based Technique for Calibrating Angular-Measuring Instrument .- Chapter 2: Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models ? A Case Study in a Pulp Paper Industry.- Chapter 3: Reinforcement Learning Fault Diagnosis Method Based on Less Tag Data.- Chapter 4: Optimization  design  and  simulation  analysis  of miniature boring machine based on ADAMS.


     

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