Spelling suggestions: "subject:"bealth managemement"" "subject:"bealth managementment""
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Integrated Marketing Communications: Branding Plan for Medicare y Mucho MasCamano, 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.
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Driving Behaviour Modelling Framework for Intelligent Powertrain Health ManagementDoikin, 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.
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PHM Methodology for Location-based Health Evaluation and Fault Classification of Linear Motion SystemsGore, Prayag January 2022 (has links)
No description available.
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An Evaluation of Classification Algorithms for Machinery Fault DiagnosisBuzza, Matthew 15 June 2017 (has links)
No description available.
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Methodology on Exact Extraction of Time Series Features for Robust Prognostics and Health MonitoringJin, Chao 30 October 2017 (has links)
No description available.
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Cyber-Physical System Augmented Prognostics and Health Management for Fleet-Based SystemsLiu, Zongchang 15 May 2018 (has links)
No description available.
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Data Quality Assessment Methodology for Improved Prognostics ModelingChen, Yan 19 April 2012 (has links)
No description available.
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An Adaptive Prognostic Methodology and System Framework for Engineering Systems under Dynamic Working RegimesYang, Shanhu 24 May 2016 (has links)
No description available.
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Performing Diagnostics & Prognostics On Simulated Engine Failures Using Neural NetworksMacmann, Owen 28 June 2016 (has links)
No description available.
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A Systematic Framework for Unsupervised Feature Mining and Fault Detection for Wind Turbine Drivetrain SystemsLiu, Zongchang 12 September 2016 (has links)
No description available.
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