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Service & Maintenance · Service
Data & Classical Analytics / Monitoring & Diagnostics
Installed-base monitoring and remote diagnostics
Live Core high 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
Central monitoring of the installed fleet flags degradation trends and anomalies before they become customer-facing problems.
Business impact
This supports proactive fleet service from a central location and helps teams intervene earlier.
Limitations
It depends on reliable field connectivity and telemetry. Many failure types still require on-site inspection to confirm and resolve.
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
Monitoring of vehicle degradation in fleets of companies involved in the logistics chain
Description: Logistics‑fleet operators monitor vehicle degradation via availability‑based condition indicators, using telemetry to flag trends and trigger earlier maintenance decisions before failures affect operations.



Photovoltaic fleet degradation insights – high‑frequency data from a large PV fleet
Description: A multi‑site PV operator continuously collects high‑frequency inverter data from a 7.2‑GW fleet to detect performance‑loss trends and anomalies, enabling centralised service planning and reduced warranty‑impact risk.



Unification & Optimization Through Remote Monitoring & Diagnostics – real‑world power plant case
Description: A combined‑cycle plant uses remote monitoring and diagnostics on turbines and generators to spot vibration and alarm trends early, shift from unplanned repairs to prioritised interventions, and reduce unplanned downtime.
https://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532022000400088https://onlinelibrary.wiley.com/doi/10.1002/pip.3566https://www.bakerhughes.com/bently-nevada/blog/unification-optimization-through-remote-monitoring-diagnostics
Sources
GE Vernova APM — ; Caterpillar Remote Fleet Vision —
https://www.gevernova.com/software/products/apmhttps://www.cat.com/en_US/by-industry/mining/fleet.html