Transformers, Coils & Magnetics Manufacturing calculator
Core Loss Estimate Calculator
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. Quality and design engineers in magnetics use it to rank which core-loss failure modes deserve attention first, rather than treating every gauss-level or grade issue equally. Because core loss drives temperature rise and efficiency, an undetected loss problem can field-fail a transformer long after it ships. This weighting keeps hard-to-detect, high-severity modes from hiding behind low occurrence numbers.
What this calculator does
- 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.
- Use it when core loss estimate in transformers, coils and magnetics manufacturing needs a defensible ranking against other transformers, coils and magnetics manufacturing risks for the next review.
- It computes a weighted core-loss risk score using 40% severity, 35% occurrence and 25% detection.
Formula used
- Core Loss Estimate risk score = severity × 0.40 + occurrence × 0.35 + detection × 0.25
Inputs explained
- Severity of core-loss failure:
- Occurrence likelihood of excess core loss:
- Detection difficulty before shipment:
How to use the result
- Use it during a magnetics FMEA or design review to prioritize core-loss failure modes and QA effort.
- Scores are subjective judgments on a fixed scale; two reviewers can rate the same core-loss mode differently, so calibrate the rating rubric before comparing scores across projects.
Current U.S. benchmarks
- The producer price index for copper and brass mill shapes stands at 559.593 (BLS, May 2026), up 76.8% from a year earlier. Quotes priced off last quarter's material cost miss this move. Global copper trades at $13,484 per tonne (IMF via FRED, May 2026).
- The U.S. has 5,397 electrical equipment and appliances establishments employing about 369,437 workers (Census County Business Patterns, 2023).
Common questions
- How do you calculate the core-loss risk score? Multiply severity by 0.40, occurrence by 0.35 and detection by 0.25, then add them. Scores of 6, 4 and 3 give 2.4 + 1.4 + 0.75 = 4.55.
- Why weight severity highest? A severe core-loss failure — overheating, efficiency shortfall, field return — costs far more than a frequent but minor one, so severity carries the largest 0.40 weight in the index.
- What is a high core-loss risk score? On a 1-10 rating scale the index also runs about 1-10. The 4.55 default is moderate; scores above 6-7 flag modes that warrant redesign, tighter core grade control or added test coverage.
- How is this different from a standard RPN? A classic FMEA RPN multiplies severity, occurrence and detection into a 1-1000 range. This weighted-sum keeps the score on the original scale and lets you emphasize severity explicitly instead of treating all three equally.
- What raises the detection score for core loss? Modes you cannot catch in normal QA — subtle grade mix-ups, gapping errors or lamination burrs that only show as loss at temperature — get high detection scores, which the 0.25 weight then folds into the index.
Last reviewed 2026-05-12.