Predictive Condition Based Monitoring Service

DPS Predictive Condition Based Monitoring Service toiteallikaks on DPS Group

DPS Group on Siemensi Platinum lahenduste partner, kes on pühendunud kõigi inimeste tuleviku positiivsele kujundamisele, kellega koostööd teeme. Meie eesmärk on täielik lähenemine tööstuse digiteerimisele ja inseneriteadusele, pakkudes turvalisi, ühendatud, ohutuid ja tõhusaid toiminguid kogu elutsükli jooksul. Oleme spetsialiseerunud otsast lõpuni Instrument to Cloud lahendustele — integreerides nutikaid varasid, automatiseerimist, OT-/IT-ühenduvust ja andmepõhist ülevaadet, et anda klientidele selge nähtavus ja kontroll nende tegevuse üle. Lisaks toetame kliente nende digitaalse ümberkujundamise teekonnal, rakendades Industrial Edge'i, pilvetehnoloogiaid ja kaasaegseid inseneritavasid, et suurendada jõudlust, vastupidavust ja jätkusuutlikkust.

Avasta DPS Group

Miks Predict Asset failures before they occur?

Our predictive condition-based monitoring helps organisations move from reactive, time-based maintenance to a more intelligent, data-driven approach. Using Siemens Industrial Edge and Senseye, our service monitors asset condition, identifies developing faults earlier & highlights where maintenance attention is most needed. This helps customers improve reliability, reduces downtime, and make better maintenance decisions across industrial assets.

Eelised

Reduces the risk of unplanned downtime by identifying developing asset issues earlier and enabling timely maintenance intervention.
Improves maintenance efficiency by helping teams prioritise work based on actual asset condition rather than fixed maintenance intervals alone.
Provides clearer visibility of asset health, supporting better operational decisions, improved reliability and stronger maintenance planning.

Soovitatavad Võimalused

Predictive Asset Monitoring

Continuously monitors asset condition using AI-driven models to detect early signs of deterioration and emerging faults.

Condition-Based Maintenance Insight

Supports maintenance teams with prioritised insight so that interventions can be planned according to asset condition and operational risk.

Early Fault Identification

Highlights abnormal patterns and developing issues before they lead to significant disruption or equipment failure.

Scalable Industrial Asset Coverage

Can be applied across multiple critical industrial assets to support a more consistent and scalable monitoring strategy.

Actionable Operational Intelligence

Transforms asset data into clear, practical insight that supports reliability improvement and better maintenance decision-making.

Reaalse Maailma Rakendused

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