Its own sensors, its own login, and no idea what the rest of the plant was doing.
The trial needs budget approval before it can prove it deserves one.
Vibration went up. Worn bearing, or a heavier product that week? A sensor alone can't tell, so it flags both.
Enough warnings nobody can explain and people stop opening them. That is what kills these programs.
Motor load and power factor drift, temperature above ambient, pump curves falling off, filters loading, cycle times creeping. Your historian has been recording them for years.
Worn bearings, gear wear, dry lubrication, looseness, cavitation. These only show up in high-frequency vibration and ultrasound, which a historian never samples fast enough to catch.
Every sensor finding is judged against load, speed, ambient, and what ran next to it. A machine wearing out stops looking like a machine working hard.
Sensors are found automatically. Assign one to a machine and its readings arrive as ordinary tags, next to your historian data.

Every machine gets a baseline from how it actually runs, not a threshold somebody guessed at.
A verdict nobody can check is a verdict nobody acts on.
A published limit, a frequency that points to one specific part, or a change from how this machine normally runs.
Nothing gets promoted to urgent because a number happened to be large.
It's a ranked hypothesis with its evidence attached. New sensors page nobody until you've checked their work.
Most condition monitoring is one accelerometer on one motor. We read your tags, and add sensors for vibration, pressure, flow, current, and temperature.
Bearing wear, unbalance, misalignment, gear mesh. Motors, pumps, fans, gearboxes.
Pump curve degradation, filter loading, heat exchanger fouling, valve stroke drift, leaks.
Motors drawing power differently, unbalanced phases, panels running hot.
Any tag you log. Tell us what bad looks like and we'll build the model.
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Tell us what you run and where the downtime hurts.
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