Industrial Machine Failure Monitoring with iNut: Vibration, Temperature, Current — Alert Before Breakdown
Predictive maintenance for industrial machinery with iNut: real-time vibration – temperature – current monitoring over RS485 & WiFi Mesh, edge diagnostics with iNut PC, automatic threshold-based actions, and Email/Telegram alerts before failure strikes. Real-time SCADA monitoring, fewer unplanned stoppages, longer equipment lifespan.
At most factories, tracking machine "health" is still done quite manually: technicians carry a vibration meter from motor to motor every week, touch a pump housing to check for unusual heat, jot the numbers into a logbook, then… leave them there. The data is scattered and discontinuous, and no one sees the trend worsening between two readings. The familiar result is a machine failing right when it's running a rush order — dragging down the line, damaging the downstream equipment, and triggering an emergency repair bill many times more expensive.
Predictive maintenance reverses that passive stance: instead of repairing after it breaks or replacing on a fixed schedule just to be safe (often swapping out parts that are still fine), we let sensors measure continuously, let the data flag anomalies, and let the system alert the right person at the right time. iNut brings this entire toolkit onto the plant floor — from sensors and wireless gateways to on-site edge analytics, SCADA dashboards, and instant alerts.
Measuring the three vital signs: vibration, temperature, current
Most mechanical and electrical failures reveal themselves through three groups of signals. Vibration exposes imbalance, misalignment, bearing wear, or a loose base. Temperature of the housing, bearings, and windings rises gradually when friction increases or lubrication degrades. Motor current reflects load, early mechanical binding, and electrical faults. iNut combines dedicated sensors (vibration accelerometers, RTD/PT100, thermocouples, current CTs) and reads them continuously, synchronized in real time — replacing a handful of scattered manual readings each week.
Wireless connectivity — no cabling across the plant floor
Machines are scattered across the plant — sometimes outdoors or up high — so running signal cables to every point is both costly and prone to interference. iNut RS485 reads sensors/inverters directly via Modbus RS485, then iNut WiFi Mesh transmits the data wirelessly over a self-healing mesh network — covering long distances, passing through obstacles, with no need for an access point at every location. At sites with no available power, the transceiver unit runs on solar power; install it once and the data flows in on its own.
Diagnosing right at the edge — iNut PC "understands" the data
Raw data is only useful once it becomes a diagnosis. iNut PC acts as the edge right at the plant: aggregating data from multiple gateways, comparing it against warning/danger thresholds, tracking the rising trend of vibration and temperature, and running automated logic — all on-site, independent of an internet connection. Where only mobile signal is available, iNut PC still uses a 4G uplink to push data and alerts to the cloud. For legacy equipment, iNut OPC standardizes data via OPC UA / Modbus / XML-DA so every machine "speaks the same language".
Automatic threshold-based actions & instant alerts
Early detection is only complete when the right person knows immediately and the system reacts in time. When the warning threshold is exceeded, iNut instantly sends an alert via Email/Telegram with the reading and machine location; when the danger threshold is hit, automated logic can reduce load, turn on cooling fans, close a valve, or trigger a safe stop via relay — preventing a single worn bearing from taking down the whole unit. Technicians get time to prepare parts and schedule downtime during off-peak hours, instead of firefighting mid-shift.
Real-time monitoring on the SCADA dashboard & iNut app
The plant's entire "health" appears on a single screen: iNut Platform (self-hosted cloud) builds an intuitive SCADA dashboard with machine diagrams, vibration/temperature/current charts over time, alert history, and iNut Datalogger stores long-term data for lifespan analysis. On the move or out in the field, the iNut app lets you view readings, change thresholds, and receive alerts right on your phone — the whole plant fits in your pocket.
A closed loop — measure, understand, alert, act
The real strength lies in every piece running as one continuous loop: sensors measure vibration – temperature – current, iNut PC analyzes trends and thresholds, the system alerts via Email/Telegram along with control commands, technicians act at the right time — then the machine recovers and the loop keeps watch. The longer it runs, the more accumulated data refines the thresholds and sharpens the predictions.
// Quick specs
Vibration · temperature · current · load
Accelerometer · PT100 · current CT
RS485 · WiFi Mesh · 4G
iNut PC · OPC UA · Modbus
Email · Telegram · real-time
SCADA · Datalogger · iNut app
What do you gain with iNut predictive maintenance?
Early alerts let you schedule maintenance during off-peak hours, avoiding mid-shift line stoppages.
Fixing a worn bearing is far cheaper than replacing an entire assembly after the damage spreads.
Operating within safe vibration and temperature thresholds keeps equipment running longer over time.
Automatic safe stop when danger thresholds are hit, protecting both people and machines.
The machine keeps running like every other day — only now, we can hear it
Predictive maintenance doesn't require replacing the entire plant. It simply adds a layer of "senses" to the machines you already have: a slightly odd vibration, an unusual heat, a current reading drifting off — all of it listened to continuously and translated into an alert before the failure has a chance to happen.
When data replaces guesswork, every shutdown becomes a planned choice rather than an unexpected accident.
Which machine in your plant is quietly "crying for help" — that no one has heard yet?