The full AIAG-VDA Detection scale calibrated by control type. Use this as the team reference during rating workshops.
Strength of current controls to detect the cause or failure mode
Error-proofed, 100% automated detection, validated
Automated in-line measurement, capable gauge
Periodic SPC, sampling inspection, end-of-line test
Visual / manual inspection, subjective check
No control, or control cannot detect this cause
Detection rates the existing control system, not the control system you wish you had. Detection looks only at what is in place today, in production, reliably, every shift.
| Rating | Detection capability | Typical control |
|---|---|---|
| 10 | No control or cannot detect | No inspection |
| 9 | Very remote chance of detection | Random visual check |
| 7–8 | Low — manual inspection of high-volume parts | Sample visual / dimensional check |
| 5–6 | Moderate — variable measurement with SPC | Sample measurement with gauges |
| 3–4 | High — 100% automated inspection with feedback | In-line gauge, vision system |
| 2 | Very high — error proofing detects defect | Poka-yoke detection |
| 1 | Cannot pass defective part | Error-proofing prevention (defect impossible) |
Prevention controls reduce Occurrence. Detection controls reduce Detection. They are not the same and must not be mixed in the same column.
| Process step | Control | Detection |
|---|---|---|
| Bore drilling | Sample bore gauge every 25 parts | 6 |
| Bore drilling | In-line air gauge with auto-reject | 3 |
| Bore drilling | 100% vision + automatic reject + alarm | 2 |
| Visual finish check | Operator visual at end of line | 8 |
| Torque application | Torque tool with data logging and alarm | 3 |
With high Severity, Detection can still keep AP High even when Occurrence is low. See the full logic in the Action Priority Guide and the complete ranking tables.
| Control type | Realistic Detection range | Why |
|---|---|---|
| No inspection / no control | 10 | Defect escapes with certainty if it occurs |
| Operator visual at the workstation | 7–8 | Human eyes miss 10–30% of defects in repetitive work; fatigue, lighting and pace degrade it further |
| Sampling visual or attribute check | 7 | Most defects between samples go undetected |
| Sample variable gauge (e.g. caliper every n parts) | 5–6 | Catches drift, not single defects; depends on sample size and frequency |
| Sample SPC with control chart | 5 | Detects shifts after the fact; not individual escapes |
| 100% manual gauging without feedback | 4 | Every part checked but operator decisions vary; no closed loop |
| 100% automated in-line gauge with auto-reject + alarm | 3 | Closed loop; small risk from gauge drift or false-pass |
| Automated vision system with verified GR&R and auto-reject | 2–3 | Excellent for visible features; rate 2 only when capability is proven and alarms are actioned |
| Poka-yoke detection (defect is detected and part stopped) | 2 | Mechanism physically halts a bad part; very small residual risk |
| Poka-yoke prevention (defect cannot be produced) | 1 | Belongs in Occurrence reduction; Detection collapses to 1 because the failure mode cannot occur |
Vision systems are the most over-rated control in modern PFMEAs. Teams default to Detection 2 because the system is "automated", then auditors find lighting drift, missing reference images, or alarms that nobody actions. A vision system earns its rating from evidence, not from its existence.
| Evidence in place | Detection earned |
|---|---|
| Vision installed, no GR&R, no alarm response procedure | 5–6 |
| GR&R passed, auto-reject, alarm acknowledged but no escalation | 4 |
| GR&R passed, auto-reject, alarm with mandatory containment | 3 |
| All of the above plus reference-image control and daily challenge parts | 2 |
The same logic applies to torque transducers with data logging, laser micrometers, and barcode-verified assembly. Closed-loop alarm response is the dividing line between Detection 4 and Detection 2.
SPC is primarily a Prevention control. A capable, in-control process reduces Occurrence. SPC only earns Detection credit when the chart is reviewed in time to stop product before escape — typically Detection 5 with frequent sampling and timely reaction rules.
Gauges earn Detection based on coverage (sample vs 100%) and feedback (open loop vs auto- reject). A go/no-go gauge used 100% with documented reaction earns 4; the same gauge used as a sample check earns 6.
Layered process audits (LPAs) verify that controls exist and are followed. They do not themselves detect defective product, so they do not appear in the Detection column. They protect the Detection ratings you have already claimed — auditors expect to see LPA evidence supporting any Detection below 5.
Mistake-proofing (poka-yoke) splits into two AIAG-VDA categories:
Mis-classifying a detection poka-yoke as prevention is the single most common reason an auditor rejects an FMEA's Detection ratings.
Detection is where teams lower AP without changing the process. IATF auditors and customer SQE teams know this and target it specifically. Expect challenges when:
Treat any Detection below 5 as a claim that must be defended with evidence. See the FMEA audit checklist for the exact evidence customers ask for.
Inspection feels safe, so teams over-credit it. Three patterns to watch for:
How Detection connects to other FMEA concepts, standards, examples and software.
Three tiers, automatically derived from the Qhubio knowledge graph. The tier containing this guide is highlighted.
Curated next steps — methodology guides, worked examples, and the relevant tool.
Move from theory to a working FMEA. Same methodology, three entry points depending on how you want to start.
Qhubio applies the AIAG-VDA methodology automatically — no Excel formulas, no inconsistent rating scales, no scattered spreadsheets.
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