VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance

Paraschos, Spyridon; Mollas, Ioannis; Bassiliades, Nick; Tsoumakas, Grigorios

doi:10.24963/ijcai.2021/713

VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance

Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Demo Track. Pages 5004-5007.

https://doi.org/10.24963/ijcai.2021/713

Keywords

Machine Learning: General
Human-Computer Interaction: General

Abstract

The use of machine learning rapidly increases in high-risk scenarios where decisions are required, for example in healthcare or industrial monitoring equipment. In crucial situations, a model that can offer meaningful explanations of its decision-making is essential. In industrial facilities, the equipment's well-timed maintenance is vital to ensure continuous operation to prevent money loss. Using machine learning, predictive and prescriptive maintenance attempt to anticipate and prevent eventual system failures. This paper introduces a visualisation tool incorporating interpretations to display information derived from predictive maintenance models, trained on time-series data.

Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, and Grigorios Tsoumakas. 2021. VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 5004–5007. https://doi.org/10.24963/ijcai.2021/713

@inproceedings{ijcai2021p713,
  title     = {VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance},
  author    = {Paraschos, Spyridon and Mollas, Ioannis and Bassiliades, Nick and Tsoumakas, Grigorios},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {5004--5007},
  year      = {2021},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2021/713},
  url       = {https://doi.org/10.24963/ijcai.2021/713},
}

TY  - CPAPER
TI  - VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
AU  - Paraschos, Spyridon
AU  - Mollas, Ioannis
AU  - Bassiliades, Nick
AU  - Tsoumakas, Grigorios
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 5004
EP  - 5007
DO  - 10.24963/ijcai.2021/713
UR  - https://doi.org/10.24963/ijcai.2021/713
ER  -