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PreditMot

Category: PreditMot

 

Electric motors are often referred to as “the workhorse of industry” and they are considered critical in any industrial process. A breakdown causes high financial losses and may cause problems for people and installations safety.

 

PreditMot uses state-of-the-art diagnostic techniques to perform the detection of the frequently faults and evaluation of the faults severity in this type of equipment. It is an advance solution that allows to perform predictive maintenance actions in electric motors, with the capability to detect failures in system’s components in a very early stage. It is based on a continuous remote monitoring system, permanently accessible from any location with internet access, and which allows users to monitor and intervene in real time. Based on the easily measurable electrical quantities acquisition, this approach can be used in all applications, including those where physical access to the motors is limited (eg. submersible pumps or motors in restricted areas). Under these conditions, typical monitoring techniques based on vibration and temperature analysis cannot be applied.

 

All the relevant data related to the motor’s operating condition is presented to the user in a web platform, showing the fault degree and power quality parameters of each asset, individually.


This solution is based on an innovative deterministic method completely different from traditional techniques, based on a deterministic mathematical algorithm and using only electrical variables as inputs, with no need of historical data.


Since it is based on the measurement of electric variables, this approach presents several advantages when compared to traditional techniques.


APPLICATIONS
The solution PreditMot can be applied to low and medium voltage three-phase motors, applied to several applications, like:
- Fans
- Pumps
- Paper Machines
- Conveyors
- Compressors
- Mills
- Electric Vehicles
- Chillers
- Elevators
- HVAC
- Motogenerators
- Crushers
- Among other type os applications

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