A condition-monitoring project succeeds or fails at the sensor. Pick the wrong type, or mount a good one badly, and the model downstream is reading noise. This is a plain-language guide to choosing industrial IoT sensors for the assets that actually matter on your plant.

Match the Sensor to the Failure Mode
Don't start from the sensor catalogue — start from how the asset fails, then pick what detects that:
- Vibration — the workhorse for rotating equipment. Catches bearing wear, misalignment, imbalance and looseness. First choice for motors, fans, pumps and gearboxes.
- Temperature — cheap and telling. Rising bearing or winding temperature is a strong secondary confirmation of trouble.
- Current / power— a motor's electrical signature reveals load and some mechanical faults without touching the shaft.
- Acoustic / ultrasonic — good for early bearing faults, leaks and electrical discharge, often before vibration shows it.
Specs That Actually Matter
- Frequency range — a vibration sensor must cover the fault frequencies you care about (bearing defect bands sit high).
- Mounting and environment rating — the sensor has to survive plant heat, dust and washdown, and mount rigidly on the asset.
- Sampling and reporting rate — continuous vs periodic changes what you can catch; fast-developing faults need frequent data.
Wired vs Wireless
Neither is "better" — it's about the asset and the environment. Wireless sensors install fast with no cable runs and suit scattered assets, but watch battery life and signal in metal-dense areas. Wired sensors are the choice for the most critical assets and continuous high-rate sampling. We go deeper on this in retrofitting sensors on older machines.
Don't Buy Sensors in Isolation
A sensor is only useful once its data reaches software that interprets it. Plan the whole path — sensor to gateway to platform — up front, which is exactly the layering covered in what actually feeds your ERP. And once you have readings, our vibration threshold lookup helps you interpret a velocity against ISO 10816 zones.
How Vexron Fits
Vexronis sensor-agnostic by design — it works with the sensors and data you already have or add, rather than locking you to one vendor's hardware. Under it, the VMI-1model turns those raw signals into ranked, explainable fault alerts. If you're weighing a software-first approach against a hardware ecosystem, see Vexron vs SKF.
Choosing sensors for your assets?
Tell us the machines you want to monitor and we'll recommend the sensor types and placement — and the platform to read them.
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