Context
Power facilities rely on high equipment availability, and continuous monitoring supports more proactive asset management and maintenance decisions.
Challenge
Unplanned downtime and limited visibility into equipment condition can reduce reliability and increase operating costs across power facilities.
AI Solution
ARMOUR+ uses AI and machine learning to analyse real-time and historical data from power facilities. By performing continuous asset health assessment, the system improves visibility into equipment conditions and enables early detection of anomalies, helping to prevent failures and reduce unplanned downtime.
Impact & evidence
Key metrics of success include reduction in unplanned failures and maintenance cost savings. These impacts are assessed through analysis of historical failure data and maintenance records, identifying preventable incidents and estimating potential improvements achievable with the solution.
Implementation / Adoption
Implementation requires access to real-time and historical data from electrical assets, along with integration into existing monitoring systems. Key constraints include data availability, data quality, and differences in system configurations across sites. Implementation typically takes 2–3 months, including data integration and system configuration. Deployment is completed within 1–2 months, covering on-site installation, validation, and user training. Benefits can be realized shortly after deployment, as the solution provides immediate asset health assessment based on real-time and historical data without requiring extensive model training.
Data
The solution uses real-time operational data from Power facilities.(e.g., IoT sensors, SCADA), historical maintenance and inspection records (e.g., failure history, maintenance logs) ,asset master data and design specifications (e.g., power facilities type, age, configuration).
Future enhancements
Planned enhancements include the integration of generative AI and LLM-based capabilities to analyse unstructured data such as maintenance reports and inspection records. These enhancements will enable more advanced insights, improve the accuracy of asset health assessment, and strengthen maintenance decision support. In addition, the solution will be further expanded to support a wider range of assets and operational environments.
