UID:
almahu_9949386266302882
Umfang:
1 online resource
Ausgabe:
First edition.
ISBN:
9780429331527
,
0429331525
,
9781000094619
,
1000094618
,
9781000094596
,
1000094596
,
9781000094602
,
100009460X
Serie:
Advanced Research in Reliability and System Assurance Engineering
Inhalt:
"This volume is a selected of papers on stochastic models in system reliability, which are presented in the Third International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO-2019) held in Beijing, China, from May 28-31, 2019. Methods presented in this book are real-world examples developed and demonstrating essential reliability and availability improvement for such industrial equipment as medical magnetic resonance inspection (MRI), power systems, traction drives for a search and rescue helicopter, and air conditioning systems. Presented real case studies include the redundant multi-state air conditioning systems for chemical laboratories, covers assessments of reliability and fault tolerance and availability calculations. Discusses conventional and contemporary topics in reliability engineering and includes degradation, networks and dynamic reliability, resilience and multi-state systems which are the relatively new topics to the field. Targeted to engineers and scientists, graduate and postgraduate students involved in reliability design, analysis and experiments and applied probability and statistics"--
Anmerkung:
Includes index.
,
Reliability Analysis of A Pseudo Working Markov Repairable System. System Reliability Assessment with Multivariate Dependence Models. Reliability Modeling of Multi-Phased Linear Consecutively Connected Systems. A Method for Complex Multistate Systems Reliability Analysis Based on Compression Inference Algorithm and Bayesian Network. Reliability Analysis of Demand-Based Warm Standby System with Multi-State Common Bus. An Upside-Down Bathtub Shaped Failure Rate Model Using DUS Transformation of Lomax Distribution. Reliability Analysis of Multi-State Systems with Dependent Failures Based on Copula. Modelling and Inference for Special Types of Semi-Markov Processes. Weighted Multi-Attribute Acceptance Sampling Plans. Reliability Assessment for Systems Suffering Common Cause Failure Based on Bayesian Networks and Proportional Hazards Model. Early Warning Strategy of Sparse Failures for Highly Reliable Products Based on Bayesian Method. Fault Detection and Prognostics of Aero Engine by Sensor Data Analytics. Stochastic Modeling of Opportunistic Maintenance for Series Systems with Degrading Components. On Censored and Truncated Data in Survival Analysis and Reliability Models. Analysis of Node Resilience Measures for Network Systems. Reliability Analysis of General Purpose Parts for Special Vehicles Based on Durability Testing Technology. State of Health Prognostics of Lithium-Ion Batteries. Life Prediction of Device Based on Material's Microstructure Evolution by Means of Computational Materials Science. Low-Cycle Fatigue Damage Assessment of Turbine Blades Using A Substructure-Based Reliability Approach. Phased-Mission Modeling of Physical Layer Reliability for Smart Homes. Comparative Reliability Analysis of Different Traction Drive Topologies for A Search-and-Rescue Helicopter. Reliability and Fault Tolerance Assessment of Different Operation Modes of Air Conditioning Systems for Chemical Laboratories. Dependability Analysis of Ship Propulsion Systems. Application of Markov Reward Processes to Reliability, Safety, Performance Analysis of Multi-State Systems with Internal and External Testing. Multi-Objective Maintenance Optimization of Complex System Based on Redundant-Cost Importance. Which Replacement Maintenance Policy is Better for Multi-State Systems: Policy T or Policy N?Design of Multi-Stress Accelerated Life Testing Plans Based on D-Optimal Experimental Design. An Extended Optimal Replacement Policy fora Simple Repairable Modelling.
Weitere Ausg.:
Print version: Stochastic models in reliability engineering. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020 ISBN 9780367345853
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
DOI:
10.1201/9780429331527
URL:
https://www.taylorfrancis.com/books/9780429331527
Bookmarklink
