Data & Classical Analytics / Monitoring & Diagnostics
Production monitoring and anomaly diagnostics
LiveCorehigh effect
Core capability
The system continuously monitors equipment and process behavior, helping operators and managers see abnormal situations early and respond before they become failures, quality losses, or downtime.
How it works
The system continuously compares current sensor behavior with normal operating patterns. When it detects a meaningful deviation, it evaluates severity and alerts the team early enough to prevent larger failures, quality losses, or downtime.
Application here
Sensors and process data feed real-time monitoring that flags quality issues and equipment anomalies before they cause larger production problems.
Business impact
This helps reduce scrap, rework, and downtime by catching problems earlier and supporting faster intervention on the shop floor.
Limitations
Monitoring must be tuned carefully. If it is too sensitive, teams get alarm fatigue; if it is too loose, real issues are missed. It flags deviations, but does not determine root cause by itself.
In production
This is already used in many factories to watch equipment and process behavior around the clock, detect abnormal situations early, and help teams intervene before quality loss or downtime grows.
Research
The next step is systems that do not only flag abnormal behavior, but help explain likely causes, identify the most relevant signals, and suggest what to inspect first.
Examples
Schaeffler OPTIME — wireless IoT vibration monitoring on production lines: the system detects anomalies weeks before failure, reducing unplanned downtime by 17 % (Schaeffler press release, 2023). Siemens MindSphere is used by BMW for press equipment monitoring — .