
VibroBox is a prescriptive and proactive diagnostics service for Industry 4.0 and IIoT. Our team of 20+ scientists, industry experts, software and hardware engineers has already developed a sophisticated software and hardware complex to collect and analyze vibration and other telemetry data.
We are targeting global equipment maintenance market, focusing on actionable maintenance events to avoid failures and optimize equipment's efficiency. As a part of ERP/MES/CMMS system, VibroBox automatically generates detailed maintenance instructions for internal parts of machinery weeks or months before a breakdown.
Simple actions such as timely replacement of oil in a bearing or shafts recalibration in a gearbox significantly extend equipment's life and radically reduce expenses on all related business processes in the enterprise.
We successfully tested our algorithms and vibration sensors in real conditions at industrial facilities in Belarus. Tested machinery includes (but not limited to) wind turbine, pumps, compressors, rolling mill, engines, rotors, wheel pairs of cargo trucks and trains. Almost any rotating and reciprocating equipment can be optimized and maintained more efficiently.
VibroBox is easily scalable. New machinery is supported in a few days, not in months or years. Our algorithms work with a digital model of equipment created from a kinematic diagram and focus on a digital signal processing before using machine learning frameworks. Our scientists are focused on wavelet analysis, algorithms for refinement and tracking the rotation speed of rotor components, SVN and other neural network classifiers, fuzzy logic.
We are looking for big cases. Large companies can significantly reduce their maintenance expenses and optimize all related business processes. Are you producing or using expensive equipment, servicing wind turbines, trains, autonomous sea vessels or other machinery, developing large-scale ERP software and interested in automated maintenance module? Please let us know.
Location: Belarus, Minsk
Phone: +375 29 176-83-35
Mentions in press and media 1
Date | Title | Description | Source |
22.10.2019 | Приложения, токены, самокаты, клининг. Кто вошёл в самый бол... | Полина Моргун 22 октября 2019, 09:15 Приложения, токены, самокаты, клининг. Кто вошёл в самый большо... | dev.by/new... |