A comprehensive review on Big Data for industries: challenges and opportunities
Technological advancements in large industries like power, minerals, and manufacturing
are generating massive data every second. Big data techniques have opened up numerous …
are generating massive data every second. Big data techniques have opened up numerous …
[HTML][HTML] Anomaly detection based on convex analysis: A survey
T Wang, M Cai, X Ouyang, Z Cao, T Cai, X Tan… - Frontiers in …, 2022 - frontiersin.org
As a crucial technique for identifying irregular samples or outlier patterns, anomaly detection
has broad applications in many fields. Convex analysis (CA) is one of the fundamental …
has broad applications in many fields. Convex analysis (CA) is one of the fundamental …
[HTML][HTML] On component-wise dissimilarity measures and metric properties in pattern recognition
In many real-world applications concerning pattern recognition techniques, it is of utmost
importance the automatic learning of the most appropriate dissimilarity measure to be used …
importance the automatic learning of the most appropriate dissimilarity measure to be used …
[HTML][HTML] Estimation of fault probability in medium voltage feeders through calibration techniques in classification models
Abstract Machine Learning is currently a well-suited approach widely adopted for solving
data-driven problems in predictive maintenance. Data-driven approaches can be used as …
data-driven problems in predictive maintenance. Data-driven approaches can be used as …
[PDF][PDF] Development of Vehicle-to-Grid System to Regulate the System Parameters of Microgrid
This paper proposes a vehicle-to-grid (V2G) system interfaced with a microgrid that is
effective at regulating frequency on a microgrid over a 24-h cycle. A microgrid is designed …
effective at regulating frequency on a microgrid over a 24-h cycle. A microgrid is designed …
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains
The ability to perform predictive maintenance, as one of the main asset of Industry 4.0, is
known to help improve downtime, costs, control and production quality. Modern predictive …
known to help improve downtime, costs, control and production quality. Modern predictive …
Power big data mining with local technique: a survey on power faults
Y Lu, G Feng, H Yao, X Wang… - 2022 IEEE 4th International …, 2022 - ieeexplore.ieee.org
The power grid is a fundamental infrastucture for an urban system, but is usually challenged
by frequent power faults. In this study, we adopted the power grid big data and a localized …
by frequent power faults. In this study, we adopted the power grid big data and a localized …