Condition Monitoring
Machine Wear Is Difficult to Detect Before It Affects Performance and Leads to Unplanned Downtime
Flexible Condition Monitoring Across Different Sensor Technologies
Reliable condition monitoring starts with selecting the data and measurement technology that best fit the specific machine, operating conditions and monitoring objective.
AIDnow is not limited to one sensor principle. It can combine and analyze data from existing or retrofitted sensors, machine controls and operational systems. Depending on the application, this may include vibration, temperature, electrical, acoustic, process or impedance data.
By connecting sensor information with operating context and engineering knowledge, AIDnow transforms individual measurements into transparent condition assessments, anomaly notifications and decision support for maintenance teams.
Sensor-Agnostic Condition Monitoring
Conventional sensor and analytic methods can fail in condition monitoring
- Conventional sensor and analytics methods do not provide the same level of insight for every machine and operating condition.
- Vibration measurements can reach their limits in slowly rotating machines and environments with significant background vibration or noise.
- Undetected bearing damage and changes in machine condition can lead to costly downtime and consequential damage.
Application Example: Impedance-Based Bearing Monitoring
One example of this flexible approach combines AIDnow with impedance sensor technology from HCP Sense. In this application, the measurement data was used to analyze bearing conditions and support the diagnosis of developing bearing damage.
Impedance measurement is particularly valuable for slowly rotating motors, shafts and bearings, where conventional vibration signals may be weak or difficult to distinguish from environmental noise. The technology can provide information about bearing load, lubrication and surface condition, while AIDnow analyzes the resulting data and translates it into meaningful condition insights.
This application demonstrates one possible sensor setup within the broader Condition Monitoring approach. Other sensor technologies and machine data can be integrated depending on the asset and monitoring objective.
Monitoring Rotating Components
Measure only what you want: Impedance sensors and analytics boost machine applications
- Maximized efficiency: Measurement of wear, lubrication and force conditions all in one
- Maximized economics: Reduce unplanned downtimes & total operating costs (TCO)
- Improved inventory assets: Upgrade existing machines without costly re-engineerings
Enables machine and process reliability with one solution
Data Acquisition
Retrofitable impedance sensors for predictive maintenance
Predictive Analytics
Automated analysis, modeling and interpretation of complex machine states
Connectivity
Managing servization and merging with existing systems (ERP, MES, PPS, CMS)
AIDnow and Sensor Bearing – Measuring bearing loads and conditions taken to the next level
Measure Load, Lubrication and Wear Condition at once
- Easy sensor integration or simple retrofitting
- Keep track of your bearing loads at all times
- Monitor lubricant conditions
- High efficiency in size, price and accuracy
Transparent Insights and Condition Monitoring
- Monitor machine & health conditions
- Get early anomaly detections & notifications
- Get precise fault diagnoses & risk predictions
- Obtain support for cost-optimal decisions
Intelligent Asset Management
- Monitor your machines at all times
- Get state predictions and risk estimations
- Get automated recommendations
- Maintain machine records & servitization
Evidence the benefits and improve your ROI within a month
Be better than before – become connected and predictive
Discover what predictive decision and sensorless sensor bearings can do for you
