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Unique products

Sensors and practical equipment for CM/PM developers and vibration experts

 

LS100 load sensor for estimating machine power (current) for CM/PM applications

Advanced Condition Monitoring and Predictive Maintenance software tools rely today on artificial intelligence (AI) or machine learning methods, and consequently on a huge number of annotated data. Machine operators prefer non-intrusive data collection, means no access to their control system, which complicates data collection, thus the need for appropriate and easy passive add-on measurement hardware.

The data collected comprises various parameters, however, power consumed or power output is cumbersome to collect without access to the control software. This inexpensive add-on sensor enables the safe data collection of power information by means of measuring the current flow (magnetic field) in the power cords.

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mechmine predictive maintenance loadsensor LS100

IEPEMULATOR

Problem: generating signals for testing cables or Edge-Devices without the need for an IEPE sensor or shaker

Application: testing vibration monitoring signal chains from the sensor onwards

Purpose: IEPE sensor alike reference signal generation for field or lab use

Ideally suited for equipment connected to 2-wire IEPE-based acceleration sensors

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One use-case for the IEPEMULATOR, testing the sensor cabling, measurement bandwith or validating results in GUI/SW/PLC. 

mechmine llc predictive maintenance iepemulator

 

 

 

 

 

 

 

 

 

 

 

 

mechmine LLC predictive maintenance iepemulator frontview

OIL SENSOR

The oil sensor with a G3/8 thread measures viscosity (1–650 cSt), density (0.5–1.5 g/cm³) and temperature (-40–125 °C). The innovative measurement method is significantly more robust against surface contaminants and vibrations, which has a positive effect on long-term accuracy. The measured values can be read out by the PLC via 4–20 mA or Modbus/RS-485. The mmBox edge device supports the oil sensor for the Mechmine machine monitoring solution.

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mechmine predictive maintenance microresonant oilsensor