Cbr-based decision support system for maintenance text using nlp for an aviation case study

SMR Naqvi, M Ghufran, S Meraghni… - … (PHM-2022 London), 2022 - ieeexplore.ieee.org
Recently, Prognostics and Health Management (PHM) has emerged to promote predictive
maintenance as a methodological key to overcome the limitations of traditional reliability …

Sample adaptive multiple kernel learning for failure prediction of railway points

Z Li, J Zhang, Q Wu, Y Gong, J Yi, C Kirsch - Proceedings of the 25th …, 2019 - dl.acm.org
Railway points are among the key components of railway infrastructure. As a part of signal
equipment, points control the routes of trains at railway junctions, having a significant impact …

Field-wise learning for multi-field categorical data

Z Li, J Zhang, Y Gong, Y Yao… - Advances in Neural …, 2020 - proceedings.neurips.cc
We propose a new method for learning with multi-field categorical data. Multi-field
categorical data are usually collected over many heterogeneous groups. These groups can …

Machine Failure Diagnosis by Combining Software Log and Sensor Data

T Onishi, H Kashima - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
Many studies have been conducted in the manufacturing industry to support the cause
analysis and early recovery of production line shutdowns caused by machine failures …

[图书][B] Person Re-Identification in the Wild: From Short-Term to Long-Term

Y Huang - 2021 - search.proquest.com
The task of person re-identification (re-ID) is to confirm the identity of a person in visual
traces captured by different cameras. Person re-ID “in the wild” is a highly demanded …

Big Data Analytics for Condition Based Monitoring and Maintenance

Z Li - 2020 - opus.lib.uts.edu.au
Condition-based Maintenance (CBM) will significantly achieve the cost-saving while
monitoring the related infrastructure through the most accurate maintenance scheduling. It …