Integrating Real-Time Monitoring and Asset Health Prediction for Power Transformer Intelligent Maintenance and Decision Support

2014 ◽  
pp. 533-543
Author(s):  
Amy J. C. Trappey ◽  
Charles V. Trappey ◽  
Lin Ma ◽  
Jimmy C.M. Chang
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Power Transformer ◽  
Real Time Monitoring ◽  
Intelligent Maintenance

scholarly journals Causality Learning Approach for Supervision in the Context of Industry 4.0

2021 ◽  
pp. 316-322
Author(s):  
Kenza Amzil ◽  
Esma Yahia ◽  
Nathalie Klement ◽  
Lionel Roucoules
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Influencing Factors ◽  
Performance Indicators ◽  
Industry 4.0 ◽  
Learning Approach ◽  
Causality Analysis ◽  
Real Time Monitoring ◽  
Process Flow ◽  
Full Control

AbstractIn order to have a full control on their processes, companies need to ensure real time monitoring and supervision using Key Performance Indicators (KPI). KPIs serve as a powerful tool to inform about the process flow status and objectives’ achievement. Although, experts are consulted to analyze, interpret, and explain KPIs’ values in order to extensively identify all influencing factors; this does not seem completely guaranteed if they only rely on their experience. In this paper, the authors propose a generic causality learning approach for monitoring and supervision. A causality analysis of KPIs’ values is hence presented, in addition to a prioritization of their influencing factors in order to provide a decision support. A KPI prediction is also suggested so that actions can be anticipated.

A Proposed Wireless System to Real Time Monitoring in Power Transformer

2016 ◽  
Vol 14 (4) ◽  
pp. 1570-1574 ◽  
Author(s):  
Josnier Ramos Guardarrama ◽  
Raimundo Carlos Silverio Freire ◽  
Orestes Hernandez Areu
Keyword(s):  
Real Time ◽  
Power Transformer ◽  
Real Time Monitoring ◽  
Wireless System
Sign in / Sign up

Export Citation Format

Share Document