Multimodal Predictive Maintenance 2026
Predictive maintenance is moving beyond vibration-only projects. The stronger 2026 pattern combines vibration, thermography, electrical signatures, process data, energy meters and CMMS history so each alarm has context.
Thermography is becoming a first-class maintenance signal
Source: Inzonex — Thermography and heat-loss methodology (2026)
Vibration finds many rotating-equipment faults, but it does not see missing insulation, steam-trap losses, hot electrical connections or surface heat loss. Adding thermal imaging gives the maintenance team a second physics channel: temperature. For energy teams, that makes predictive maintenance and energy efficiency part of the same workflow.
The practical test is whether the alarm creates a useful work order
Source: Inzonex — Heat-loss calculator (2026)
A predictive system that only produces scores is hard to use. A better system explains the evidence, the likely failure mode or loss mechanism, the recommended action, the expected value and the uncertainty. For heat-loss anomalies, that work order can include dimensions, surface temperature, estimated loss and whether removable insulation is the likely fix.
FAQ
What is multimodal predictive maintenance?
It is predictive maintenance that combines several data types, such as vibration, thermography, process data and CMMS history, rather than relying on one sensor stream.
Why add thermography?
Thermography sees heat-related problems that vibration cannot, including missing insulation, steam losses, overloaded electrical components and abnormal surface temperatures.
Sources
Related
Predictive Maintenance: A Practical Guide for Plants · Industrial Heat Loss and Insulation: How Much You're Losing · Predictive Maintenance (PdM) · Thermography (Infrared Inspection)
Sectors: Food Processing · Power Generation · Pharmaceuticals