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    A reliability inspired strategy for intelligent performance management with predictive driver behaviour: A case study for a diesel particulate filter

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    Publication date
    2021-08
    Author
    Doikin, Aleksandr
    Campean, I. Felician
    Priest, Martin
    Lin, C.
    Angiolini, E.
    Keyword
    Reliability
    Machine learning
    Case study
    Simulation
    Diesel particulate filter
    Predictive driver behaviour
    Performance management
    Rights
    © 2021 The Authors. Published by Cambridge University Press for the Design Society. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
    Peer-Reviewed
    Yes
    Open Access status
    Green
    
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    Abstract
    The increase availability of operational data from the fleets of cars in the field offers opportunities to deploy machine learning to identify patterns of driver behaviour. This provides contextual intelligence insight that can be used to design strategies for online optimisation of the vehicle performance, including compliance with stringent legislation. This paper illustrates this approach with a case study for a Diesel Particulate Filter, where machine learning deployed to real world automotive data is used in conjunction with a reliability inspired performance modelling paradigm to design a strategy to enhance operational performance based on predictive driver behaviour. The model-in-the-loop simulation of the proposed strategy on a fleet of vehicles showed significant improvement compared to the base strategy, demonstrating the value of the approach.
    URI
    http://hdl.handle.net/10454/18706
    Version
    Published version
    Citation
    Doikin A, Campean IF, Priest M et al (2021) A Reliability Inspired Strategy for Intelligent Performance Management with Predictive Driver Behaviour: A Case Study for a Diesel Particulate Filter. In: Proceedings of the International Conference on Engineering Design (ICED21), Gothenburg, Sweden, 16-20 August 2021.
    Link to publisher’s version
    https://doi.org/10.1017/pds.2021.20
    Type
    Article
    Collections
    Engineering and Informatics Publications

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