Signal processing
Extracting the features that actually carry information about condition.
Industrial Technology
Industrial AI
Industrial AI is constrained by physics and by data quality. The useful applications are narrow and specific: this machine, this failure mode, this signal.
What we engineer
Condition, efficiency and failure
Models applied to equipment condition and process efficiency — where the signal data supports it.
Condition models
Severity and anomaly assessment tied to a specific failure mode.
Maintenance integration
A prediction is only valuable if it reaches the maintenance plan.
How it comes together
From requirement to running system.
- Equipment
- Signal
- Processing
- Features
- Model
- Maintenance
Capabilities
- Signal processing
- Feature extraction
- Condition monitoring
- Anomaly detection
- Maintenance planning
Related work
See it as a working system.
ValveIQ
Condition Assessment System
Acoustic-emission based severity assessment for reciprocating gas compressor valves, so maintenance can be scheduled against condition rather than calendar.
- Signal processing
- Feature extraction
- Severity classification
- Condition monitoring
Let's engineer what's next.
Have a complex process, digital product or industrial challenge? Let’s discuss the system behind it.