Engineering Asset Management 2016 [electronic resource] : Proceedings of the 11th World Congress on Engineering Asset Management / edited by Ming J. Zuo, Lin Ma, Joseph Mathew, Hong-Zhong Huang.
Material type:
- text
- computer
- online resource
- 9783319622743
- 658.5
- TA177.4-185
Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Biblioteca Digital | Colección SPRINGER | 658.5 (Browse shelf(Opens below)) | Not For Loan |
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.
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 techniques 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 well as undergraduate and postgraduate students.
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