Solution
Real-Time Degradation Monitoring
Automatically detects early signs of equipment degradation from vibration and acoustic data.
Overview
Even with limited data, statistical modeling that accounts for physical constraints and operating conditions detects early signs of degradation that human observation can miss. We capture subtle changes in vibration and acoustic data in real time to track equipment state changes.
Benefits
- Automatic early detection of degradation trend changes
- Quantitative monitoring that doesn't rely on human intuition
- Prevents unexpected failures and reduces downtime
Target Industries
- Manufacturing
- Automotive
- Building Systems
- Infrastructure
Challenges We Solve
Before
- Anomaly judgments depend on experienced staff, reducing reproducibility
- Late detection of degradation signs leads to unexpected failures
- Sparse failure data makes threshold design difficult
After
- Statistical models automatically detect changes in degradation trends
- Early detection enables planned maintenance responses
- High-accuracy detection even with limited data, leveraging physical constraints
What We Offer
Trend Change Detection
Statistically detects change points in latent degradation trends from sensor data.
Acoustic & Vibration Analysis
Extracts early signs of anomalies from acoustic and vibration data of rotating machinery and motors.
Real-Time Monitoring
Continuous data monitoring delivers instant alerts when signs of anomalies appear.
Contact Us
Tell us about your equipment monitoring challenges — we'll propose the best approach for your data environment.