SenseGrow - Model 4.0 - AI Powered Condition Based Maintenance (CBM) Software
Condition Based Maintenance (CBM) is a maintenance strategy in which an assets condition is monitored regularly to decide if maintenance is required.
ioEYE Predict AI, IoT sensors and software make asset condition monitoring easy and affordable to implement.
IMPLEMENTING CONDITION BASED MAINTENANCE
Analyze the failure modes or history of your asset. Identify parameters that are a good leading indicator of failure. These indicators trend in a predictable way as the asset degrades.
You can then set the baseline against which you need to benchmark performance. A change from this, absolute or relative, triggers a maintenance event.
Continuous measurement
Continuous measurements are made manually or automatically from sensors. These are trended and continuously compared to the baseline performance or level.
ioEYE Predict IoT sensors and software is making enterprises overcome this challenge
IOT SENSORS
Acquire asset health data like vibration, ultrasound, temperature, magnetic flux using our wireless and wired IoT sensors and gateways.
FEATURE EXTRACTION AND BASELINING
Extract features (health indicators) from the sensor data in time domain and frequency domain. Apply filters and establish baselines.
TRENDING AND THRESHOLD ALERTS
Health indicators are trended and continuously compared to the baseline. Alerts can be set when the baseline or threshold is breached.
Benefits of Condition Based Maintenance (CBM)
Condition Based Maintenance appeals to enterprises due to its high ROI and its ability to reduce unexpected downtime.
- Reduce unexpected downtime
- Lower maintenance costs
- Improve system reliability
- Faster troubleshooting
- Increases asset lifespan
- Improved HSE compliance