Leveraging Classical Statistical Methods for Sustainable Maintenance in Automotive Assembly Equipment
J Bucay-Valdiviezo, P Escudero-Villa, J Paredes-Fierro… - Sustainability, 2023 - mdpi.com
Predictive maintenance management plays a crucial role in ensuring the reliable operation
of equipment in industry. While continuous monitoring technology is available today …
of equipment in industry. While continuous monitoring technology is available today …
MEDEP: Maintenance event detection for multivariate time series based on the PELT approach
Predictive Maintenance (PdM) is one of the most important applications of advanced data
science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models …
science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models …
VisCARS: Knowledge Graph-based Context-Aware Recommender System for Time-Series Data Visualization and Monitoring Dashboards
P Moens, B Volckaert… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Data visualization recommendation aims to assist the user in creating visualizations from a
given dataset. The process of creating appropriate visualizations requires expert knowledge …
given dataset. The process of creating appropriate visualizations requires expert knowledge …
Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop
B Steenwinckel, C Soete, P Moens, J Mussche… - International Semantic …, 2024 - Springer
Sensors and their derived data have reshaped manufacturing by enabling real-time
monitoring, improved quality control and enhanced safety, particularly in automotive …
monitoring, improved quality control and enhanced safety, particularly in automotive …
End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components
This work introduces an end-to-end methodology, from data gathering to fault notification, for
the predictive maintenance of rotary components of machine tools. This is done through …
the predictive maintenance of rotary components of machine tools. This is done through …
Knowledge Graph Fusion for Maintenance Management in Cement Production
Valuable operation and maintenance management data requires efficient utilization method
to enhance operation of the manufacturing system. This paper constructs a knowledge …
to enhance operation of the manufacturing system. This paper constructs a knowledge …
Intelligent Decision Support System (iDSS) for Manufacturing Data Corpus
People in industries like manufacturing require, use, and produce knowledge on a daily
basis. Tremendous quantity of data with difference in formats, structures and linkages need …
basis. Tremendous quantity of data with difference in formats, structures and linkages need …
[PDF][PDF] Aprovechando los métodos estadísticos clásicos para el mantenimiento sostenible en equipos de esamblaje de automóviles
JC Bucay Valdiviezo - 2023 - repositorio.uti.edu.ec
Predictive maintenance management plays a crucial role in ensuring the reliable operation
of equipment in the industry. While continuous monitoring technology is currently available …
of equipment in the industry. While continuous monitoring technology is currently available …
Breakdown Time Prediction Model Using CART Regression Trees
NNPS Rahayu, DL Widaningrum - Conference on Innovative …, 2022 - Springer
The process of mining copper and gold concentrates from ores requires a variety of tools for
the separation of valuable minerals. Availability and equipment utilization are certainly …
the separation of valuable minerals. Availability and equipment utilization are certainly …