Vibration and current diagnostics, OEE and remaining-life forecasting for machine tools – from 1–2 machines to a holding-wide fleet. No in-house diagnostics team? We run it remotely.
This mix delivers the most on the industry's key process stages. Details in the cards below.
Three measurement points on the spindle assembly cover 80% of unexpected failures: vibration sensors on two bearings and motor current via a current transformer — with no sensor on the motor itself. From there the signal follows a single chain: the Passer acquisition controller digitises it at up to 92 kHz, Larus computes the spectra at the machine, and Strix turns them into diagnosis and prognosis.
A machine fleet breaks down where you cannot see it coming: a spindle bearing, a gearbox, a hydraulic-power-unit pump, a drive. We fit these nodes with vibration sensors and current transformers, Passer digitises the signal (up to 92 kHz), Larus computes the spectra, and Strix turns them into diagnosis and prognosis — 2–6 months before an unexpected failure.
Critical machines / pilot
Shop of 10–50 machines
No in-house diagnostics team
We test our methods on real data, not just on desk-bound models: the tool-wear soft sensor and the time-series analytics are developed in an R&D partnership with ITMO University (Fedot.Industrial) and Polytech (our own lab). The human stays in the loop – Strix advises, and the decision stays with your chief mechanic’s team.
Buy and own. For critical infrastructure and the Rosatom perimeter, the only option.
Base fee + % of confirmed downtime reduction, 24–36 months. No CAPEX hit.
We install the sensors and run the diagnostics — findings and prognosis by subscription.
For a large heavy-machinery plant we deployed an automated vibration-monitoring and predictive-diagnostics system for the rotating equipment of the machine fleet, plus vibration monitoring of the power pumps on a 15,000-tf press. The system was accepted by sign-off in February 2026.
Dispatcher counts run time and OEE — that is production accounting. Strix adds vibration and current diagnostics on top: when a machine starts heating up and vibrating, you find out 2–6 months before failure instead of after the fact. If Dispatcher is already in place, we work alongside it, no replacement.
No need. These are solid systems; we keep them on critical machines. Passer goes on new points and extends diagnostics without replacing what already works — a channel costs several times less, and the data converges into a single shop dashboard.
We connect them through Larus-10: status “running / stopped / fault”, cycle counting, drive current, and optionally spindle vibration. 200–400k ₽ per machine, with no intrusion into the machine and no sign-off from the manufacturer. This is full MDC at the level of modern CNC plus initial condition monitoring.
Usually 12–18 months. Starting from 45–55% OEE, the deployment delivers +15–25 pts through fewer stoppages and faster changeovers — on the order of 30M ₽/year of effect against a deployment cost of 25–40M ₽. The effect of predictive diagnostics comes on top.
We split the zones in the statement of work. We maintain and support the sensors and the platform. Your chief mechanic’s team makes the diagnostic decisions and your shop performs the repairs. We provide the tool, the training and the methodology — we do not replace the mechanic. No in-house vibration analyst — we run diagnostics remotely.
You do not buy the system, you subscribe to a service: we invest in and own the equipment, you pay monthly — a base fee plus a percentage of confirmed downtime reduction, over 24–36 months. It fits when you do not want a CAPEX hit. For critical infrastructure and Rosatom, where the equipment must be owned by the enterprise, we choose CAPEX.
Answer four questions and a manager will come back with specifics: which nodes to monitor, the first step, and the order of payback. No obligations.
A manager will contact you within one business day and propose a concrete first step for your fleet.
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