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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Novity
Novity

Novity

Founded 2022

Predict equipment failures and schedule industrial machinery repairs using plant historian data

You can use Novity to monitor industrial rotating equipment and predict machine failures before they cause unexpected plant downtime. By analyzing existing time-series data from operational historians alongside optional high-frequency vibration sensors, it detects developing mechanical faults in compressors, pumps, and motors. It calculates remaining useful life windows, identifies probable root causes, and recommends corrective maintenance actions grounded in official equipment manuals and operating procedures. This allows reliability engineers to plan repairs in advance, prevent emergency shutdowns, and preserve production schedules.

What Novity does

Forecast time-to-failure windows on industrial rotating machineryDiagnose specific fault modes on industrial pumps and compressorsAnalyze time-series historian data to uncover mechanical anomaliesGenerate verified repair actions tied to standard operating proceduresMonitor high-frequency vibration data for bearing degradation and valve leaksTrack machinery health trends across multi-site production facilitiesForecasts remaining useful life windows for critical industrial machineryCombines physics models, machine learning, and contextual operational dataCites original OEM manuals and standard operating procedures for repair recommendationsIngests historical time-series sensor data without requiring immediate hardware upgradesDiagnoses mechanical faults across reciprocating compressors, pumps, and motorsSupports modular sensor tiers from basic plant historians to high-frequency vibration sensors

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Novity, predictive maintenance, condition monitoring, machine learning, remaining useful life, fault diagnosis, root cause analysis, rotating equipment, industrial compressors, process manufacturing, vibration analysis, industrial fans, heat exchangers, plant reliability, failure forecasting