i4SEE DataCheck™
Features
- Fully automated, continuous checks of data quality.
- Detection of gaps, jumps, implausible values etc.
- Intelligent, able to account for different turbine types.
- Self-learning system with improving accuracy over time.
Benefits
- Ensure valid results in critical monthly reporting.
- Increased accuracy of performance and health monitoring.
- Early warning of problems with data acquisition systems.
- Significant reduction in workload for data analysts.
i4SEE Performance™
Features
- Continuous, automated performance monitoring.
- Drill-down approach: fleet, site, turbine.
- Automated calculation of energy loss.
- Intelligent fault diagnosis and advisory generation.
Benefits
- Minimal effort for fleet level power curve analysis.
- Avoid energy loss due to undetected performance issues.
- Efficient follow-up and problem solving.
- Standardized method across all turbine types.
i4SEE Heat™
Features
- Physics-based prediction of component temperatures.
- Adaptive models that learn the behavior of each turbine.
- Early outlier detection with extremely high sensitivity.
- Transparent methodology and actionable results.
Benefits
- Automated analysis that can be applied at any scale.
- Monitoring of main bearings, gearbox, generator.
- Advisory generation that can be translated into field actions.
- Preventative component repair, reduction in downtime & costs.
i4SEE GearDrive™
Features
- Holistic analysis of drivetrain condition.
- Consideration of SCADA, CMS, particle sensors.
- Simple implementation, immediate protection.
- Fully automated with built-in intelligence.
Benefits
- Reduced risk of major component failure.
- Data fusion for maximum results accuracy.
- Advisory information with recommended follow-up.
- Maximum value extracted from existing data.
i4SEE Archive™
Features
- Long-term archive of all i4SEE analytics output.
- Immediate retrieval of recent and past results.
- API for integration of results into digital workflows.
- Highly secure storage including disaster recovery.
Benefits
- Fully compatible with all i4SEE applications.
- Highly cost-efficient solution, fully cloud based.
- Maximum data security, minimum administration effort.
- Complete record of turbine condition and performance.
i4SEE Flow™
Features
- Direct interface with process planning applications.
- Supported systems include Trello, JIRA, MS Planner.
- Fully automated task generation and import into backlog.
- Tasks with AI-based diagnosis & recommendations.
Benefits
- Suitable for any customer-specific O&M workflow.
- Reduced administration effort, focus on value generation.
- Bridging the gap between data science and O&M.
- Enabling predictive maintenance process digitalisation.
i4SEE Direct™
Features
- Seamlessly merges data from different platforms.
- Provides standardised signal naming.
- API for secure access to all data.
- Fully consistent with IEC61400-25 standard.
Benefits
- Single source for all inputs used in data analytics.
- Avoids time-wasting data relabelling activities.
- Ideal for use with i4SEE Applications or other tools.
- Significantly reduces digital system complexity.
i4SEE Damage™
Features
- Benchmarking fleet downtimes using simple KPIs.
- Quantification of loads for main components of each turbine.
- Damage calculation using Physics of Failure.
- Correlation between loads, damage and downtime.
Benefits
- Pragmatic load calculations using available SCADA.
- Identification of turbines with recurring problems.
- Understanding critical events and operating conditions.
- Prioritization of O&M activities for best possible availability.
i4SEE Life™
Features
- Statistical data analysis of historical failure data.
- Weibull-based assessment of failure probability.
- Turbine, system and component level analysis.
- Support for time-based and load-based assessment.
Benefits
- Long-term failure prognostics across operational fleets.
- Identification of high risk turbines and systems.
- Quantitative inputs to support financial risk assessment.
- Optimisation of logistics, spares and resource management.
i4SEE TECH is supported by the Austrian Wirtschaftsservice
