Cost-sensitive learning using logical analysis of data

H Osman - Knowledge and Information Systems, 2024 - Springer
Classification is a common task in data mining that assigns a class label to an unseen
situation. It has been widely used in decision making for various applications, and many …

[PDF][PDF] Remaining useful life prediction with insufficient degradation data based on deep learning approach

Y Lyu, Y Jiang, Q Zhang, C Chen - Eksploatacja i Niezawodność, 2021 - bibliotekanauki.pl
Remaining useful life (RUL) prediction plays a crucial role in decision-making in
conditionbased maintenance for preventing catastrophic field failure. For degradation-failed …

Mould wear-out prediction in the plastic injection moulding industry: a case study

FD Frumosu, GØ Rønsch, M Kulahci - International Journal of …, 2020 - Taylor & Francis
The current work addresses an industrial problem related to injection moulding
manufacturing with focus on mould wear-out prediction. Real data sets are provided by an …

[PDF][PDF] A mechanism reliability analysis method considering environmental influence and failure modes' correlation: a case study of rifle automaton

Y Fang, Y Wang, J Sha, T Gu… - Eksploatacja i …, 2023 - bibliotekanauki.pl
In order to overcome the challenge of quantifying the influence of environmental conditions
and the coexistence of multiple failure modes involved in mechanism reliability modelling …

[HTML][HTML] Towards intelligent industrial systems: A comprehensive survey of sensor fusion techniques in IIoT

N Tyagi, SS Chavan, SMP Gangadharan - Measurement: Sensors, 2023 - Elsevier
Abstract Industrial Internet of Things (IIoT) is systems aim to facilitate human monitoring and
the direction of efficient production of goods in industrial settings by linking a wide variety of …

Dependability modeling for the failure prognostics in smart manufacturing

DN Lira, M Borsato - Transdisciplinary Engineering: Crossing …, 2016 - ebooks.iospress.nl
The recent advances in Smart Manufacturing open opportunities in Maintenance and
Management of its assets through new support strategies. This trend allows the collection of …

Graph, clique and facet of boolean logical polytope

K Yan, HS Ryoo - Journal of Global Optimization, 2022 - Springer
Logical analysis of data (LAD) discovers useful knowledge from a set of data in the form of a
Boolean pattern for classifying future data. Generating a pattern has been shown to be …

Intelligent prognostics based on empirical mode decomposition and extreme learning machine

T Benkedjouh, S Rechak - 2016 8th international conference on …, 2016 - ieeexplore.ieee.org
Prognostics and Health Management (PHM) for condition monitoring systems have been
proposed for predicting faults and estimating the remaining useful life (RUL) of components …

Prediction of mechanical stress in roller leveler based on vibration measurements and steel strip properties

RP Nikula, K Karioja, K Leiviskä, E Juuso - Journal of Intelligent …, 2019 - Springer
The continuous development of steel products generates new challenges for the
maintenance of manufacturing machines in steel mills. Substantial mechanical stress is …

Reliability modelling with redundancy—A case study of power generation engines in a wastewater treatment plant

N Gorjian Jolfaei, B Jin… - Quality and …, 2020 - Wiley Online Library
Power generators are critical assets in wastewater treatment plants (WWTPs) in Australia
and many countries. Better managing the lifetime, minimising failures, improving reliability …