Event-Driven Dashboarding and Feedback for Improved Event Detection in Predictive Maintenance Applications
Manufacturers can plan predictive maintenance by remotely monitoring their assets. However, to extract the necessary insights from monitoring data, they often lack sufficiently large datasets that are labeled by human experts. We suggest combining knowledge-driven and unsupervised data-driven approa...
Guardado en:
Autores principales: | Pieter Moens, Sander Vanden Hautte, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Steven Vandekerckhove, Femke Ongenae, Sofie Van Hoecke |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6e7a4804ec4c4853a019d2cb1e0ef682 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Blockade-detection-response based security operations dashboard design
por: Choong-Hee Han
Publicado: (2021) -
Automated Multidimensional Analysis of Global Events With Entity Detection, Sentiment Analysis and Anomaly Detection
por: Fahim K. Sufi, et al.
Publicado: (2021) -
Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study
por: Marcio Trindade Guerreiro, et al.
Publicado: (2021) -
Algorithm optimization and anomaly detection simulation based on extended Jarvis-Patrick clustering and outlier detection
por: Wei Wang, et al.
Publicado: (2022) -
Goal-oriented dashboard's requirements with i: a case study
por: Pérez Acosta,Alain, et al.
Publicado: (2016)