Proceedings of IncoME-VI and TEPEN 2021

Performance Engineering and Maintenance Engineering
Herausgegeben:Zhang, Hao; Feng, Guojin; Wang, Hongjun; Gu, Fengshou; Sinha, Jyoti K.

• Broschiertes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Mechanisms and Machine Science 117
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-99077-0
• 1st ed. 2023
• Seitenzahl: 1132
• Erscheinungstermin: 19. September 2023
• Englisch
• Abmessung: 235mm x 155mm x 61mm
• Gewicht: 1693g
• ISBN-13: 9783030990770
• ISBN-10: 303099077X
• Artikelnr.: 68686853

Inhaltsangabe

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.