AI-Driven Freeze Detection for Industrial Time-Series Data
An international Oil & Gas company using SAP Asset Performance Management (SAP APM) needed a more intelligent way to identify unreliable sensor data before it could impact maintenance decisions.
Lighthouse developed an AI-powered solution that automatically detects recurring sensor data freeze patterns, helping maintenance teams distinguish between isolated anomalies and systematic reliability issues.
The Challenge
Modern industrial environments generate massive volumes of time-series sensor data. When sensor values stop changing (“freeze”), the cause may range from communication failures and sensor malfunctions to data ingestion issues or assets remaining in the same operating state.
Traditional rule-based monitoring often produces too many false positives or fails to identify recurring patterns, making it difficult to trust the underlying data. As a result, maintenance decisions risk being based on outdated or inaccurate information.
Our Solution
Lighthouse developed an AI-driven freeze detection solution built on SAP AI Foundation and integrated with SAP Asset Performance Management.
Instead of relying solely on static thresholds, the solution analyzes historical sensor data to identify recurring freeze events and evaluate their significance. The AI distinguishes one-off anomalies from systematic reliability problems, enabling more accurate detection and reducing unnecessary investigations.
The solution also generates recommendations for optimizing detection parameters such as thresholds and rules, allowing customers to continuously improve monitoring quality over time.
Business Value
The solution enables organizations to:
Detect recurring sensor reliability issues earlier
Reduce false alarms caused by isolated events
Improve confidence in maintenance decisions by ensuring data quality
Automatically optimize detection parameters using AI-generated recommendations
Scale the analysis across large volumes of industrial time-series data
By identifying patterns rather than isolated incidents, maintenance teams can focus on real reliability problems and proactively improve asset performance.
“The AI suggestions for bundling work orders are accurate and very effective”
Technologies
SAP Asset Performance Management (SAP APM)
SAP AI Foundation
AI-powered time-series analysis
Industrial sensor data analytics
Do you want to know more?
Get in touch with Simen Larsen-Frivoll to found out how we can solve your challenges.