Portfolio
FCE builds decision software for complex industrial assets — from monitoring and prediction to optimization and operational decision support. We combine sensor data, image-based inspection, digital twins, mathematical optimization and machine learning into practical systems that improve reliability, quality and operational efficiency.
Predictive Maintenance
Detect degradation early, quantify risk and plan maintenance before failures occur.
Image & LiDAR Analytics
Fuse drone imagery, object detection and 3D point clouds for infrastructure inspection.
Predictive Quality
Predict scrap, quality deviations and optimal process settings during production.
Planning & Forecasting
Optimize sequences, forecast energy demand and learn storage behavior across grid levels.
Predictive Maintenance
From condition monitoring to operational action
SysWatch consolidates sensor measurements, event histories and diagnostic information into one decision layer.
- Time-series analysis for loads, temperatures, vibrations and operating states
- Failure-memory analysis and event-based modelling
- Component-level risk scoring and visual prioritization
- Remaining Useful Life estimation for maintenance planning
- Maintenance recommendations based on predicted criticality
Image-Based Inspection: Drone, RGB, LiDAR & 3D
Geometric intelligence for infrastructure
Image detections are combined with LiDAR or photogrammetric point clouds to create measurable digital representations of assets.
- Drone-based RGB inspection
- Object detection and localization
- 3D reconstruction and point-cloud fusion
- Geometry checks: tilt, distance, clearance and structural deviation
Predictive Quality & Process Optimization
Predict quality before the product leaves the line
FCE extends predictive methods into production quality: process parameters, material states and process sequences are mapped to expected quality outcomes.
- Scrap prediction: binary, probabilistic or quality-level based
- Digital twins for production lines and process stages
- Bellman-based dynamic optimization for optimal parameter settings
- Integration of time-dependent process curves where available
Sequencing & Scheduling
Optimization for complex production flows
Sequencing optimizes job order, takt assignments and resource utilization under real operational constraints.
- Production sequence optimization
- Line balancing and takt-time constraints
- Due-date and workload-aware scheduling
- Optional coupling with maintenance and quality risk forecasts
Energy Forecasting & Industrial Experience
Forecasts across grid levels
FCE develops forecasting and learning models for energy systems, from full-grid views down to substations and transformer stations.
- Demand and load forecasting on multiple aggregation levels
- Learning of storage behavior and dynamic system response
- Integration into operational planning and decision support
