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Utvikling av programvareverktøy for tilstandsbasert vedlikehold

Godkjent SkatteFUNN-prosjektMottakerSIGNAL ANALYSIS LAB ASProsjekt-ID305050
Godkjent SkatteFUNN-prosjektBeløp ikke publisertKilden publiserer ikke beløp per prosjektPer prosjekt · SkatteFUNN / Norges forskningsråd

Godkjenningen dokumenterer en skattefradragsordning, men kilden publiserer ikke faktisk skattefradrag per prosjekt.

Prosjektopplysninger

Prosjektperiode
Instrument
Skatte-/avgiftsfordel
Vedtaksdato
Program/aktivitet
SkatteFUNN
Prosjekttype
SkatteFUNN-prosjekt
Kommune
Grimstad
Fylke
Agder

Offentlig prosjektsammendrag

Our advanced S2S system gives a new layer of understanding to your machines. Analyzing your machines in real-time, the automated S2S system will notify you of problems before they become detrimental. Allowing you to avoid surprise shutdowns and make better use of maintenance staff. Downtime Decrease Our Predictive Maintenance (PDM) solution, S2S, reduces rotating machine failures and downtime, thus avoiding a significant cause of economic losses in many manufacturing sectors. Early warning indicators, also allow for better utilization of maintenance staff. Lifetime Increase Our PDM solution extends equipment lifecycles, cuts the overall costs for equipment operation and maintenance. This will drastically reduce unplanned machinery downtime and limit the risk of environmental and human-related disasters linked to machinery failure. Cost Reduction S2S can drastically reduce the number of sensors needed, thus saving substantial amounts of money in installation costs. By applying our smart tracking technology - using only vibration measurements - we can estimate other crucial parameters, such as RPM, giving more accurate prediction as well as cost reduction. Machine Agnostic The S2S platform is designed to be machine and sensor agnostic. The user can use pre-existing sensors or manual readings and feed the data into our S2S software to get advanced machine diagnosis. This allows customers more flexibility in installation and also drastically reduces installation costs.

Kilde og proveniens

KILDEFAKTUM

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DEKNINGSGRENSE

Ikke publisert er en egen tilstand og betyr verken null eller ukjent utbetaling.