@inproceedings{8c66d936117042e185c3a152f593a1c4,
title = "A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems",
abstract = "Recent emphasis has been placed on improving the processes in manufacturing by employing early detection or fault prediction within production lines. Whilst companies are increasingly including sensors to record observations and measurements, this brings challenges in interpretation as standard approaches for artificial intelligence (AI) do not highlight the presence of unknown relationships. To address this, we propose a new data analytics framework for predicting faults in a large-scale manufacturing system and validate it using a publicly available Bosch manufacturing dataset with a focus on pre-processing of the data.",
author = "Carbery, {Caoimhe M.} and Roger Woods and Marshall, {Adele H.}",
year = "2018",
month = sep,
day = "4",
doi = "10.1007/978-981-13-2384-3_16",
language = "English",
isbn = "9789811323836",
series = "Communications in Computer and Information Science",
publisher = "Springer-Verlag",
pages = "169--179",
editor = "Zhile Yang and Dongsheng Yang and Kang Li and Minrui Fei and Dajun Du",
booktitle = "Intelligent Computing and Internet of Things - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings",
note = "1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018 ; Conference date: 21-09-2018 Through 23-09-2018",
}