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111	Integrated Marketing Communications: Branding Plan for Medicare y Mucho Mas Camano, Javier 22 June 2006 (has links) (PDF) The purpose of this paper is to explain the appropriate and effective use of branding as a vital part of the communication process of an organization. In addition, this project will help identify issues to improve enthusiasm for the use of the brand, help managers become aware of brand loyalty, and show how to measure the effectiveness of the brand. branding communications marketing integrated Medicare Medicaid Health Management Loyalty IMC Communication
112	Driving Behaviour Modelling Framework for Intelligent Powertrain Health Management Doikin, Aleksandr, Campean, Felician, Priest, Martin, Angiolini, E., Lin, C., Agostinelli, E. 26 July 2022 (has links) Yes / Implementation of an intelligent powertrain health management relies on robust prognostics modelling. However, prognostics capability is often limited due to unknown future operating conditions, which varies with duty cycles and individual driver behaviours. On the other hand, the growing availability of data pertaining to vehicle usage allows advanced modelling of usage patterns and driver behavious, bringing optimisation opportunities for powertrain operation and health management. This paper introduces a methodology for driving behaviour modelling, underpinned by Machine Learning classification algorithms, generating model-based predictive insight for intelligent powertrain health management strategies. Specifically, the aim is to learn the patterns of driving behaviour and predict characteristics for the short-term future operating conditions as a basis for enhanced control strategies to optimise energy efficiency and system reliability. A case study of an automotive emissions aftertreatment system is used to comprehensively demonstrate the proposed framework. The case study illustrates the approach for integrating predictive insight from machine learning deployed on real world trip behaviour data, in conjunction with a reliability-based model of the operational behaviour of a particulate filter, to propose an intelligent active regeneration control strategy for improved efficiency and reliability performance. The effectiveness of the proposed strategy was demonstrated on an industry standard model-in-the-loop set up with a representative sample of real-world vehicle driving data. / The authors acknowledge funding for the research presented in this article from Jaguar Land Rover under a research collaboration with the University of Bradford on “Intelligent Personalised Powertrain Healthcare”, and the Institute of Digital Engineering who have provided funding for proof of concept – the aiR-FORCE project. Intelligent health management Prognostics Driving behaviour Machine learning Diesel particulate filter
113	PHM Methodology for Location-based Health Evaluation and Fault Classification of Linear Motion Systems Gore, Prayag January 2022 (has links) No description available. Mechanical Engineering Prognostics and Health Management Linear Motion Systems Ball Screw Health Monitoring Fault Classification Transfer Learning
114	An Evaluation of Classification Algorithms for Machinery Fault Diagnosis Buzza, Matthew 15 June 2017 (has links) No description available. Mechanical Engineering Fault Diagnosis Classification Algorithms Prognostics and Health Management Complex Machinery
115	Methodology on Exact Extraction of Time Series Features for Robust Prognostics and Health Monitoring Jin, Chao 30 October 2017 (has links) No description available. Mechanical Engineering Mechanics prognostics and health management time series pattern recognition machine learning artificial intelligence data-driven
116	Cyber-Physical System Augmented Prognostics and Health Management for Fleet-Based Systems Liu, Zongchang 15 May 2018 (has links) No description available. Mechanical Engineering Prognostics and health management Cyber-physical systems networked and fleet-sourced systems data-driven PHM
117	Data Quality Assessment Methodology for Improved Prognostics Modeling Chen, Yan 19 April 2012 (has links) No description available. Industrial Engineering Prognostics and Health Management Data Quality Laplacian Eigenmap diagnostic modeling Feature Ranking Outlier Detection
118	An Adaptive Prognostic Methodology and System Framework for Engineering Systems under Dynamic Working Regimes Yang, Shanhu 24 May 2016 (has links) No description available. Engineering, Mechanical Mechanics Prognostics and Health Management Adaptive Learning Accelerated Life Testing Cloud Computing
119	Performing Diagnostics & Prognostics On Simulated Engine Failures Using Neural Networks Macmann, Owen 28 June 2016 (has links) No description available. Aerospace Materials prognostics diagnostics neural networks engine health management degradation simulation self-organized maps
120	A Systematic Framework for Unsupervised Feature Mining and Fault Detection for Wind Turbine Drivetrain Systems Liu, Zongchang 12 September 2016 (has links) No description available. Mechanics Mechanical Engineering vibration-based condition monitoring Prognosis and Health Management

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