Sensors for Early Warning Analytics

EWA sensors

Leading innovator of edge sensors, edge monitoring, edge computing and Condition monitoring

Embedded

The EWA sensor has the computer resources close to where data originates – at the ”edge”.

Data processing and evaluation carried out locally in the sensor means both faster and real-time data and ensures more robust and reliable results.

As data remains in the private network, this increases data security.

Integration

The EWA sensor provides high quality pre-processing data for integration, presentation and eventual further data analyses in an AI, Cloud or CTS system.

EWA Sensors

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Cases

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About us

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Sustainability

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Increased Uptime & Efficiency

  • Increase system uptime

    An unplanned production stop has large costs, in lost production and in customer loyalty. It is of big importance to reduce unplanned system downtime.

  • Extend asset lifetime

    Machine monitoring secure that it is safe, reliable and efficient over the machine operating life. Wear and damage on machine parts is identified before machine breakdown, extending the machine lifetime

  • Optimize service, maintenance planning and costs

    Monitoring and supervision of wear and damages on machine parts make it possible to optimize service planning and reducing maintenance expenditures.

Condition monitoring

Condition monitoring is monitoring of a set of conditions in machines. It is used to recognize significant change to indicate the fault. When monitoring is done continuously and in real-time, it is possible to have actual status of a condition, and also following the fault development over time.

Machine

Unbalance

The uneven distribution of mass around a rotating axis, during rotation. This unequal mass will create a centrifugal force, resulting in force on the bearings, especially at higher speeds.

Gear Mesh

The fundamental gear mesh frequency tells about any gear teeth wear or damages.​ This can be spur gears or planetary gears.

Reverse rotation

A machine can run in forward or reverse rotation. This can be due to a forced control or an unintended situation.

Bearing Fault

Different kinds of wear can occur in bearings, due to an improper bearing installation or due to high operation load.

Motor

Electrical RPM

The desired rotation speed in RPM applied to the stationary part of the motor, the stator (the driver).

Rotor RPM

The actual mechanical rotation speed of the rotating part of the motor (the driven part).

Slip Speed

The difference between synchronous and asynchronous speed. Slip increases with increasing load, as it provides a greater torque on the shaft.

System

Duty cycle

Explain the share of machine operation time and machine stopped, for the last 24 hours.

Number of start/stops

Number of start/stops States how often the machines is started and stopped, for the last 24 hours.

Operation time

States the total machine operation time, for the last 24 hours.

Cavitation

Cavitation is the rapid creation and subsequent collapse of air bubbles in a fluid.

Temperature

Monitoring of the skin temperature. Change in temperature can be an indication of motor fault or pump blockage.

Water Hammer​

Pressure surge caused by a rapid change in flow velocity in the pipeline.​

Vibration Level RMS

An energy level for the vibration, calculated from the spectrum in the frequency range from 10 to 1,000 Hz. Monitored in three dimensions (X, Y, Z).​

False Brinelling

False brinelling occurs when there is background vibration while the motor is not running.

Looseness

Improper contact between component parts. Reasons can be due to mechanical or structural issues.

What we do differently

  • Fault detection

    The EWA sensor is much more than abnormally detection, as it states the specific developed fault type, for targeted service measures.

  • Robust measurements

    EWA is a hybrid sensor platform, combining the rotating centrifugal force in 3D and the rotating magnetic field in 3D with edge analytics, which benefit in robustness and contribution immunity from other operating machinery.

  • Early Warning Analytics

    Sensor parameter have an added Early Warning Analytics (EWA) layer on the top. This support daily operation by stating a warning, is case a fault starts developing, and an alarm if the fault severity is at a state where fast service action is recommended.

  • Waterproof

    The sensor is for both dry-installed and submerged machinery, rated to a depth of 10m.

  • Generic sensor

    Easy and fast installation. The sensor calculates all needed information itself, and no additional information about bearing type etc. must be added.

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EWA sensors
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