Application of Metadata and Replication Mechanisms in Industrial Databases

Power transformers' failures carry great costs to electric companies since they need resources to recover from them and to perform periodical maintenance. To avoid this problem in four working transformers, the authors have implemented the measurement system of a failure prediction tool, that is the basis of a predictive maintenance infrastructure. The prediction models obtain their inputs from sensors, whose values must be previously conditioned, sampled and filtered, since the forecasting algorithms need clean data to work properly. Applying Data Warehouse (DW) techniques, the ave been provided with an abstraction of sensors the authors have called Virtual Cards (VC). By means of these virtual devices, models have access to clean data, both fresh and historic, from the set of sensors they need. Besides, several characteristics of the data flow coming from the VCs, such as the sample rate or the set of sensors itself, can be dynamically reconfigured. A replication scheme was imp...

• Type: Conference
• Year: 2003
• Where: IADIS
• Authors: Perfecto Mariño, César A. Sigüenza, Francisco Poza, Fernando Vázquez, Fernando Machado
• Keywords: Failure Prediction Tool, IADIS 2003, IADIS 2008, Prediction, Predictive Maintenance Infrastructure