Cbr-based decision support system for maintenance text using nlp for an aviation case study
Recently, Prognostics and Health Management (PHM) has emerged to promote predictive
maintenance as a methodological key to overcome the limitations of traditional reliability …
maintenance as a methodological key to overcome the limitations of traditional reliability …
Sample adaptive multiple kernel learning for failure prediction of railway points
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 …
equipment, points control the routes of trains at railway junctions, having a significant impact …
Field-wise learning for multi-field categorical data
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 …
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 …
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 …
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 …
monitoring the related infrastructure through the most accurate maintenance scheduling. It …