Technical

Identifying structural change
before failures become visible

Neraium analyzes signal relationships, not isolated thresholds, detecting drift in how systems behave together.

How It Works

Signal relationships reveal what thresholds miss

Neraium analyzes how signals across an industrial system interact over time. When those relationships begin to shift, it can indicate that degradation or instability is emerging, even when individual sensors still appear normal.

Technical Approach

What the system evaluates continuously

01
Signal Relationships

Relationships between sensors across equipment and processes.

02
Behavior Over Time

Stability of system behavior as operating conditions change.

03
Emerging Patterns

Patterns that may indicate degradation or growing instability.

04
Operating Dynamics

Shifts in multi-signal behavior that do not appear in isolated thresholds.

Example

Structural drift before failure

Example chart showing systemic drift emerging before failure

This example shows how systemic drift can emerge well before the actual failure point, giving operations and reliability teams earlier visibility into developing problems.

See how structural change detection applies to your environment.

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