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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
The continuous development of steel products generates new challenges for the
maintenance of manufacturing machines in steel mills. Substantial mechanical stress is …
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 …
and many countries. Better managing the lifetime, minimising failures, improving reliability …