A Modeling Framework for Troubleshooting Automotive Systems-Reference-Cited by-同舟云学术

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A Modeling Framework for Troubleshooting Automotive Systems

Published:2016-03-15 Issue:3 Volume:30 Page:257-296
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Warnquist Håkan,Kvarnström Jonas,Doherty Patrick

Funder

Scania CV AB

Research Council (VR) Linnaeus Center CADICS

Excellence Center at Linköping and Lund in Information Technology (ELLIIT)

FFI - Strategic Vehicle Research and Innovation

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

http://www.tandfonline.com/doi/pdf/10.1080/08839514.2016.1156955

Reference20 articles.

1. Diagnosing multiple faults

2. A model for reasoning about persistence and causation

3. Sequential condition-based maintenance scheduling for a deteriorating system

4. A condition-based maintenance policy for stochastically deteriorating systems

5. Decision-theoretic troubleshooting

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1. Study on an architecture of ontology-based task modeling and deduction for automotive troubleshooting service;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-09-20

2. Self-Adaptative Troubleshooting for to Guide Resolution of Malfunctions in Aircraft Manufacturing;IEEE Access;2021

3. Crash-Resilient Synthesizer in Logic Optimization Paradigm for Sustainable Hardware Design of ASIC and Digital Systems;Communications in Computer and Information Science;2020

4. Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction;Journal of Business Logistics;2019-01-31

5. Artificial Intelligence Applications;Operations, Logistics and Supply Chain Management;2018-08-30

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