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Engineering Asset Management 2016

Proceedings of the 11th World Congress on Engineering Asset Management

Medium: Buch
ISBN: 978-3-319-87277-3
Verlag: Springer International Publishing
Erscheinungstermin: 18.05.2018
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These proceedings gather selected peer-reviewed papers from the 11th World Congress on Engineering Asset Management (WCEAM), which was held in Jiuzhaigou, China, on 25–28 July, 2016.

These proceedings cover a wide range of topics in engineering asset management, including:

·         strategic asset management;

·         condition monitoring and diagnostics;

·         integrated intelligent maintenance;

·         sensors and devices;

·         information quality and management;

·         sustainability in asset management;

·         asset performance and knowledge management;

·         data mining and AI techni

ques in asset management;

·         engineering standards; and

·         education in engineering asset management.

The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers and academics, as wellas undergraduate and postgraduate students.

Produkteigenschaften

  • Artikelnummer: 9783319872773
  • Medium: Buch
  • ISBN: 978-3-319-87277-3
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 18.05.2018
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the original 1. Auflage 2018
  • Serie: Lecture Notes in Mechanical Engineering
  • Produktform: Kartoniert, Previously published in hardcover
  • Gewicht: 5854 g
  • Seiten: 372
  • Format (B x H x T): 155 x 235 x 21 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study.- Maintenance Process Improvement Model by Integrating LSS and TPM for Service Organisations.- Group Replacement Policies for Repairable N-Component Parallel Systems.- Low Speed Bearing Condition Monitoring – A Case Study.- Program Control-Flow Integrity Checking Based Soft Error Detection Method for DSP.- Research on the Fault Diagnosis of Planetary Gearbox.- Bridge Condition Assessment under Moving Loads using Multi-sensor Measurements and Vibration Phase Technology.- EcoCon: A System for Monitoring Economic and Technical Performance of Maintenance.- An Adaptive Power-Law Degradation Model for Modelling Wear Processes.- A Comparison Study on Intelligent Fault Diagnostics for Condition Based Maintenance of High-Pressure LNG Pump.- Rotating machine prognostics using system-level models.- Study on the Poisson’s Ratio of Solid Rocket Motor by the Visual Non-Contact Measurement Teleoperation.- Reliability Allocation of Multi-Function Integrated Transmission System Based on the Improved AGREE Method.- A Study of Sustained Attention Improving by Fuzzy Sets in Supervisory Tasks.- Waukesha 70 Gas Engine Failure Investigation.- Construction of Index System of Comprehensive Evaluation of Equipment Maintenance Material Suppliers.- Addressing missing data for diagnostic and prognostic purposes.- Imperfect Coverage Analysis for Cloud-RAID.- Research on Data Analysis of Materiel System Based on Agent Simulation.- Research on the Fault Diagnosis Method of Equipment Functionally Significant Instrument Based on BP Neural Network.- Asset Performance Measurement: A Focus on Mining Concentrators.- Mobile Technologies in Asset Maintenance.- Essential Elements in Providing Engineering Asset Management Related Training and Education Courses.- Optimizing the unrestricted wind turbine placements with different turbine hub heights.- Predicting Maintenance Requirements for School Assets in Queensland.- Research on Armored Equipment RMS Indexes Optimization Method Based on System Effectiveness and Life Cycle Cost.- Dealing with Uncertainty in Risk Based Optimization.- The Design and Realization of Virtual Maintenance and Training System of Certain Type of Tank.- Measures to Ensure the Quality of Space Mechanisms.- A Decision-making Model of Condition-based Maintenance about Functionally Significant Instrument.- Research on the Fault Diagnosis Method of Equipment Functionally Significant Instrument Based on BP Neural Network.- Gearbox Fault Diagnosis Based on Fast Empirical Mode Decomposition and Correlated Kurtosis.- Bulge Deformation in the Narrow Side of the Slab during Continuous Casting.