Identification of malfunctions and anomalies in data quality and acquisition from sensors
Goal of the company
- Monitoring sensors functioning and data quality for multiple assets and machines
Main Scops features used
- Detection of sensor malfunction
- Condition Monitoring
- Email Alerts
- Analog & sensorized measurements monitoring & analysis
- Data auditing & tracking
Overview
Faulty or poorly calibrated sensors were compromising data collection and subsequent machinery monitoring at one of our customer's plant. In fact, the engineering team was only able to discover these malfunctions after days or weeks. Delays in identifying sensor issues were limiting the ability to monitor machinery and generating a cost to the team, which then had to try to reconstruct the missing data. In addition, sensor malfunctions could cause failures and breakdowns in the sensorized machines.
With the use of Scops , the engineering team was able to quickly define logical condition monitoring checks for each sensor so that immediate alerts could be received as soon as a sensor's behavior was recognized as abnormal.
Our client has thus significantly reduced data loss, and faulty sensors are now identified immediately. Data quality is significantly increased now that Scops identifies abnormal values immediately. The maintenance team can now act promptly to replace malfunctioning sensors. Sensor calibration is also made much simpler by Scops, and engineers can now focus on calibration tasks for the sensors that need it most.
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