Transformers, Coils & Magnetics Manufacturing worked example
Core Loss Estimate with severity of core-loss failure of 3 score: a worked example
This worked example runs the core loss estimate numbers for a tougher week than the baseline: severity of core-loss failure of 3 score instead of the typical 6 score. Core Loss Estimate turns three FMEA-style ratings — severity, occurrence and detection — into a single weighted risk score for excess core loss in a transformer or inductor.
The inputs for this scenario
- Severity of core-loss failure: 3 score (the input this scenario stresses; the baseline uses 6)
- Occurrence likelihood of excess core loss: 4 score (held at the documented default)
- Detection difficulty before shipment: 3 score (held at the documented default)
Working through the calculation
- The calculation starts from the formula this tool documents: Core Loss Estimate risk score = severity × 0.40 + occurrence × 0.35 + detection × 0.25.
- Risk score works out to 3.35 score at these inputs, and this is the headline figure for the scenario.
- Severity works out to 3 score at these inputs.
- Occurrence works out to 4 score at these inputs.
- Detection works out to 3 score at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where severity of core-loss failure sits at 6 score and the headline result is 4.55 score, this scenario comes in 26.37% below the baseline at 3.35 score.
- Use it during a magnetics FMEA or design review to prioritize core-loss failure modes and QA effort. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.
Results at a glance
- Risk score: 3.35 score (headline result)
- Severity: 3 score
- Occurrence: 4 score
- Detection: 3 score
Run it with your numbers
- To rerun this with your own numbers, open the live Core Loss Estimate calculator, set severity of core-loss failure to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.