Predictive Maintenance Cuts Equipment Failures by 73%. That Is Not Marketing — It Is Data

Predictive maintenance cuts equipment failures by 73%. That is not marketing — it is data.

Most plants across the CIS still maintain equipment on a fixed schedule: once a quarter, once a year — regardless of the actual condition of the asset. The problem is that equipment age barely correlates with failure probability. As a result, up to 15% of MRO resources go into unnecessary work, and 82% of plants have faced at least one unplanned stop in the past three years.

The predictive approach works differently: vibration, temperature and electrical sensors continuously track the real condition of motors, bearings and high-voltage assets. Algorithms flag deviations long before a person would notice them.

What that means in practice

• downtime falls by 30–50%
• equipment life extends by up to 40%
• maintenance costs drop by 18–25%
• equipment-related incident rates fall by 40%

We see this on mining, oil & gas and power sites in Kazakhstan and the CIS — with Artesis (electric motor monitoring), SDT (ultrasound diagnostics and lubrication) and Rapidox (SF₆ control on high-voltage equipment).

The question is not whether to move to predictive maintenance. The question is what delay is costing you.