Smart Factory: keep the line running
In a production plant, one failed motor or drive can stop an entire line. edgeSV watches process and utility equipment from the panel and turns electrical signals into maintenance schedules the plant can plan around, moving teams from reactive firefighting to data-driven decisions.
The situation
Unplanned downtime, aging equipment and limited visibility into machine health are persistent problems on the factory floor. Many plants still rely on reactive or calendar-based maintenance, which means costly failures on one side and unnecessary servicing on the other. Manufacturers are moving to condition-based maintenance through smart factory and FEMS programs, but the obstacle is usually data: hundreds of rotating assets, many of them hot, dusty, enclosed or inside machinery where vibration sensors are hard to fit and maintain, and information scattered across separate systems.
What edgeSV monitors here
Value for your operation
Real-time visibility into critical assets
Motors, drives, compressors and transformers are evaluated continuously at the panel. Plant and maintenance teams see asset health as it changes, without waiting for a centralized analysis or a manual round.
Proactive maintenance without interrupting production
Developing faults are identified early and on site, so work can be placed in planned windows instead of interrupting a shift. The result is fewer line stoppages and production schedules that hold.
Scalable intelligence across lines and sites
Analysis runs where the equipment operates, which limits network dependency and keeps deployment simple. Start with the critical feeders of one line and extend to more lines and plants with the same approach.
Challenges
- Unplanned line stops and restart losses
- Too many assets for manual rounds
- Sensors hard to fit on enclosed machinery
- Maintenance know-how tied to individuals
- Data scattered across separate systems
How edgeSV helps
- Monitor many feeders from one panel-mounted device
- Bearing, rotor, stator and VFD diagnostics without touching the machine
- Modbus data into existing SCADA, MES and FEMS
- Power quality and energy data from the same measurement
Outcomes
- Maintenance planned into scheduled shutdowns
- Higher OEE through fewer breakdowns
- Standard asset health data for smart factory programs
Equipment and use cases
Rotating equipment
Motors, pumps, fans and compressors are diagnosed from electrical signatures at the panel, so bearing wear, imbalance and misalignment surface early.
View details ›Industrial gearboxes
Load and torque patterns on the drive feeder point to gear wear, lubrication problems and resonance before the gearbox fails.
View details ›Compressed air systems
Compressor load profiles reveal leaks, failing units and inefficient operation that quietly drive up energy cost.
View details ›Conveyor systems
Motor load and current patterns show belt misalignment, roller wear, overload and lubrication failures before they stop the line.
View details ›Boiler and steam systems
Feed pumps, fans and blowers behind critical thermal systems are watched for abnormal load and degradation to prevent unplanned failures.
View details ›CNC machines
Spindle and axis drive power signals expose tool wear, spindle degradation and abnormal cutting load before part quality or uptime is affected.
View details ›Hydraulic systems
Power unit motor load is tracked to catch early signs of leaks, cavitation and valve degradation.
View details ›Production lines
Health signals are correlated across the assets on a line to identify reliability-driven throughput constraints.
View details ›Quality degradation
Subtle equipment anomalies are linked to downstream quality issues, so corrective action comes before scrap rates rise.
View details ›Example scenario
- A conveyor drive motor shows a rising rotor eccentricity frequency over three weeks.
- edgeSV raises a caution with the indicator and trend attached.
- Maintenance checks alignment and bearings during the weekend shutdown instead of after a mid-shift failure.
Frequently asked questions
How is edgeSV different from other maintenance AI for factories?
edgeSV reads the electrical signals already present in the panel and runs the diagnostics on the device itself, so nothing needs to be attached to the machine. One device covers motors, VFDs and transformers, and reports a health score with the indicator and trend behind it rather than raw data.
What kinds of factory assets can be monitored?
Electrically driven rotating equipment such as motors, pumps, fans, compressors and conveyors, plus VFDs, transformers and power quality. Machine tools, gearboxes and hydraulic units can be assessed through the load behavior of their drive motors. Assets with no electrical drive are outside the scope.
Can it scale across multiple production lines or plants?
Yes. Each device monitors multiple feeders, and data from many devices can be brought into one multi-site dashboard or into your existing SCADA, MES and FEMS over Modbus.
How is this different from the threshold alarms we already use?
A threshold alarm fires only after a single value crosses a limit, often late. edgeSV looks at patterns and trends across several indicators, so it can warn earlier and point toward the likely cause, which helps reduce nuisance alarms.
Does it work with limited IT or network infrastructure?
Yes. Diagnostics run on the device, so a result does not depend on a cloud connection. RS-485 or Ethernet is enough to pass data to upper systems, and cloud connection is optional.
Is it suitable for a single line as well as a whole smart factory?
Both. Many customers begin with a pilot on the critical feeders of one line, then add devices line by line as the value becomes clear, using the same data format throughout.
Related applications
Talk to an engineer about your site
Send us your single-line diagram and critical asset list. We will propose monitoring points and a pilot scope.