Process industry & Pump systems
Predictive maintenance for water pumps
52 sensor channels, but only 7 failures.
SF2 Case Studies
Proven results in industrial engineering
use cases
Our technical case studies demonstrate how SF2 acts as a highly sensitive early-warning system –
detecting subtle process drift and revealing gradual state changes in real-world time-series data.
Sensor- & domain-agnosticFast time-to-valueMeasurable ROI
Practical evidence
Key takeaways across our case studies
Explore how SF2 transforms complex sensor streams into transparent, actionable insights. These fully documented case studies show how SF2 converts high-dimensional time series into precise semantic state fingerprints—detecting subtle deviations from reference states in real time.
All key performance indicators refer to the specific dataset, preprocessing pipeline, and reference configuration.
Application examples
Case studies
Defense, airspace monitoring & Autonomous navigation
Semantic radar target recognition
Nearly latency-free radar classification in noisy environments.
Oil & Gas / Offshore Production
Hydrate Detection in Deepwater Production
Early indication of impending pipeline blockages.
Chemistry- & Plastics Processing
Condition classification in Polymer Extrusion
Exact differentiation of resin classes during operation.
Data Center & Edge Server Fleets
Early warning of 5xx server events
Deterministic overlap signals make impending disruptions visibly comprehensible.
Compressors & Component Manufacturers
Leakage-Pattern Detection in Reciprocating Compressors
High-resolution pressure, temperature and crank-angle data become explainable multi-sensor fingerprints.
Semiconductor Manufacturing & Cleanroom Conveyors
Precision Maintenance in Cleanrooms Without System Retrofit
An instrumented transport container recognises wear signatures without additional sensors along the conveyor.
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