One click triggers the recording, and the monitor displays characteristic values, the time-domain signal, and the frequency spectrum – all exportable as a CSV file. A first measurement needs nothing more than the sensor, an IO-Link master, and a laptop.
How deeply the sensor is integrated is up to the user: two PNP outputs can trip a warning light directly and autonomously once a parameterized event occurs. Continuously, characteristic values go to the controller via IO-Link or as a 4…20 mA signal. Anyone who wants to can also trigger the BLOB transfer from the control program and process the raw data there. The CMVT-M8TE mounts via an M8 screw-in thread, with an adapter or magnetic mount available as options – ideal for retrofitting existing plants that have no spare controller capacity.

Base Model versus Raw-Data Version

The CMVT-M8TE builds on the CMVT-M8TA, which has been part of TURCK’s condition monitoring sensor portfolio for some time. Via IO-Link, PNP switching, or 4…20 mA output, the M8TA delivers effective (RMS) and peak acceleration values with ±0.5 percent accuracy at 159.2 Hz, and can run autonomously – via the TAS app or an IO-Link master with a web server – for example paired with a warning light in existing plants. The new CMVT-M8TE adds high-frequency sampling and raw-data transfer on top of that. In short: for straightforward threshold monitoring, the CMVT-M8TA is all you need; for root-cause analysis, the CMVT-M8TE is the sensor of choice.

Next Building Block in the CM Portfolio

The CMVT-M8TE is the newest addition to TURCK’s portfolio of retrofit-friendly condition monitoring sensors – alongside the M8TA variants, the lineup includes the three-axis CMVT-QR20 vibration/temperature sensor, which reports threshold violations directly; the CMMT magnetic field/temperature sensor for the non-contact detection of metal objects; and the CMTH humidity/temperature sensor for monitoring climate conditions in production and storage facilities. What all these sensors share is the goal of enabling condition monitoring even where controller capacity or analysis infrastructure has been lacking.
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