A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset data

Autor: David Hyland-Wood, Oluseun Omotola Aremu, Peter Ross McAree

Publikováno v: Advanced Engineering Informatics. 40:121-134

Predictive maintenance is the monitoring of an asset’s condition over its life cycle to provide a prognosis for when maintenance is required. Prior to prognosis, an asset’s life cycle is modeled by a health indicator (HI) which is derived from se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ba664648f580e2f3e4e3da19fa9107a
https://doi.org/10.1016/j.aei.2019.03.003

Machine Learning-Based Embedding for Discontinuous Time Series Machine Data

Autor: David Hyland-Wood, Oluseun Omotola Aremu, Peter Ross McAree

Publikováno v: INDIN

This paper presents a machine learning-based dimension reduction framework (ML-framework). The ML-framework is designed to circumvent the challenges of high-dimensional discontinuous machine data applied in machine learning-based predictive maintenan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::458bb9d04ff71c29d857375114e03b31
https://doi.org/10.1109/indin41052.2019.8972020

Exploring the Relationship Between Data Science and Circular Economy: an Enhanced CRISP-DM Process Model

Autor: Jingyue Li, Eivind Kristoffersen, Fenna Blomsma, Patrick Mikalef, Oluseun Omotola Aremu

Publikováno v: Lecture Notes in Computer Science
18th Conference on e-Business, e-Services and e-Society (I3E)
18th Conference on e-Business, e-Services and e-Society (I3E), Sep 2019, Trondheim, Norway. pp.177-189, ⟨10.1007/978-3-030-29374-1_15⟩
Lecture Notes in Computer Science ISBN: 9783030293734
I3E

Part 2: Big Data Analytics; International audience; To date, data science and analytics have received much attention from organizations seeking to explore how to use their massive volumes of data to create value and accelerate the adoption of Circula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8653241752ae89adbf8e97f7275c8211

A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data

Autor: Peter Ross McAree, Oluseun Omotola Aremu, David Hyland-Wood

Publikováno v: Reliability Engineering & System Safety. 195:106706

The growing interest in artificial intelligence has led to current data-driven predictive maintenance (PdM) relying on machine learning (ML) algorithms. Although ML algorithms are useful for data-intensive analysis, research shows that their performa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7e6a41b02a55a9da8b4d69557dd7194
https://doi.org/10.1016/j.ress.2019.106706