1.

Record Nr.

UNINA9910863154803321

Titolo

Advances in Asset Management and Condition Monitoring : COMADEM 2019 / / edited by Andrew Ball, Len Gelman, B. K. N. Rao

Pubbl/distr/stampa

Springer International Publishing, 2020

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-57745-7

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (1,525 pages) : illustrations

Collana

Smart Innovation, Systems and Technologies, , 2190-3018 ; ; 166

Disciplina

621.816

620

Soggetti

Vibration

Dynamics

Buildings - Repair and reconstruction

Buildingsā€”Repair and reconstruction

Quality control

Reliability

Industrial safety

Automatic control

Robotics

Mechatronics

Electronic circuits

Vibration, Dynamical Systems, Control

Building Repair and Maintenance

Quality Control, Reliability, Safety and Risk

Control, Robotics, Mechatronics

Circuits and Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Asset Management -- Condition Monitoring -- Structural Health Monitoring -- A Meshing Resonance based Demodulation Algorithm and its Application for Planet Gear Tooth Root Crack Detection --



Exploring the Impacts of Using Mobile Collaborative Augmented Reality on the Field Service Business Model of Capital Goods Manufacturing Companies -- Research and Implementation of Real-time Motion Control of Robot based on Kinect.

Sommario/riassunto

This book gathers select contributions from the 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), held at the University of Huddersfield, UK in September 2019, and jointly organized by the University of Huddersfield and COMADEM International. The aim of the Congress was to promote awareness of the rapidly emerging interdisciplinary areas of condition monitoring and diagnostic engineering management. The contents discuss the latest tools and techniques in the multidisciplinary field of performance monitoring, root cause failure modes analysis, failure diagnosis, prognosis, and proactive management of industrial systems. There is a special focus on digitally enabled asset management and covers several topics such as condition monitoring, maintenance, structural health monitoring, non-destructive testing and other allied areas. Bringing together expert contributions from academia and industry, this book will be a valuable resource for those interested in latest condition monitoring and asset management techniques. .