Sensor & Data Fusion

What this topic covers

Combine strain, vibration, environment, inspection and operational data.

Core monitoring ideas

Data fusion can provide context a single sensor cannot.

Combining sources requires consistent time, identity and uncertainty awareness.

A fused score should not hide the underlying evidence needed for review.

Interpretation limits

Sampling and storage should match the phenomenon: slow settlement and rapid vibration need different strategies.

Evidence and data quality

Analytics should surface uncertainty, missing data and sensor faults rather than hide them inside a score.

Lifecycle use

AI, machine learning and digital twins support review; they do not replace structural engineering accountability.