Overview:
When a fault, occurs at a substation, the Supervisory Control and Data Acquisition system in the substation sends indications or alarms, relating to the fault, to a control center. In response to the fault, the Subject Matter Experts (SMEs) are required to investigate. The SMEs manually review fault data, together with device data to try and identify contributing factors associated with the fault. Once the contributing factors have been identified, analyzed and the cause is narrowed down, the SME raises a fault notification associated with an item of plant/equipment in the corporate database system (SAP) with a probable cause of the fault.
The fault notification is raised against the item of the plant that has failed, together with the failure mode identified by the SMEs. However, in practice, the fault is not always associated with the equipment correctly due to the practical implementation of the systems and equipment and may lead to false alarms. This makes it more difficult and time consuming to carry out reliability and asset/equipment health analysis, and to maintain reliable and safe operation of the whole system.
Outcomes:
Identification of anomalous fault entry details through automatic analysis of the information available from substations, also suitable for future application.
Identification, prediction, and carrying out root cause analysis of asset issues, abnormalities, and failures.
Analysis of data correlation, filtering, and clustering of data in association, and relation to, typical false alarm failures.
Chief Investigators
Partners
