A datasheet claim of 50,000 hours is a projection, not a measurement. Somebody had to test samples for a few thousand hours, model the degradation, and extrapolate the rest. Buyers who understand how that extrapolation is built can tell a substantiated lifetime claim from a marketing number, and can specify the testing they need for their own application. This white paper covers the three components of a defensible lifetime projection: accelerated test design, degradation modelling, and statistical treatment of the failure distribution.
1. The three-part structure of a lifetime claim
A credible lifetime projection rests on three separate pieces of work, and a claim that omits any of them is not verifiable.
Accelerated test data establishes how fast the device degrades under stress. Without it, there is no basis for extrapolation. A degradation model converts measured stress response into a projection at use conditions. Without it, accelerated data says nothing about field life. A statistical distribution quantifies the spread between samples and produces a confidence bound. Without it, a projected lifetime is a single number with unknown reliability.
The consequence for specification writing is that a supplier should be able to state all three: the test conditions and duration, the model and its parameters, und die confidence level attached to the result.
| Claim form | What it contains | Verifiable? |
|---|---|---|
| “50,000 hours lifetime” | Nothing | No |
| “L70 > 50,000 h at 55 °C per TM-21” | Model + condition | Partially |
| “L70 = 54,000 h, 90 % lower confidence bound, from 6,000 h test” | Data + model + bound | Yes |
| “B10 = 42,000 h, Weibull β = 2.1, 3 stress levels” | Distribution + data | Yes |
2. Selecting stress levels
Accelerated testing trades time for stress. The stress must be high enough to produce measurable degradation within a practical test window, and low enough that it does not activate a mechanism that would never occur in the field. Activating the wrong mechanism is the single most common failure of an accelerated test programme: the resulting lifetime estimate is precise and wrong.
For LED-Pakete, three stress variables matter, und diey should be applied at three or more levels each so that the acceleration model can be fitted rather than assumed.
| Stress | Typical levels | Mechanism activated | Caution |
|---|---|---|---|
| Fallstudie Temperatur | 55 / 85 / 105 °C | Die and phosphor degradation | Above Tg of encapsulant, new modes appear |
| Forward current | 1.0 / 1.5 / 2.0 × rated | Stromdichte, junction heating | Do not exceed pulse rating |
| Humidity | 60 / 85 % RH | Corrosion, delamination | Combine with temperature in H3TRB |
| Thermocycling | ΔT 40 / 70 / 100 K | Solder and die-attach fatigue | Separate test from steady-state |
For steady-state lumen maintenance, IES LM-80 defines the accepted test conditions: a minimum of 6,000 hours at three case temperatures (55 °C, 85 °C and a third temperature selected by the manufacturer), with lumen maintenance measured at 1,000-hour intervals. For J-01 (3535 Keramik) and J-02 (5050 ceramic), the ceramic body makes high case temperatures practical, so all three LM-80 temperatures can be reached by heat-sink design alone without over-driving the die.
3. The degradation model
Lumenwartung for LEDs is conventionally modelled with an exponential decay:
Φ(t) = B · exp(-α t)
where Φ(t) is the normalised luminous flux at time t, and B and α are fitted constants. Solving for the time at which flux reaches a fraction f of its initial value gives the L-threshold time:
t_f = - ln(f / B) / α
For L70, f = 0.70. IES TM-21 restricts extrapolation to six times the available test duration, so 6,000 hours of data supports a projection to 36,000 hours. A claim beyond that range requires longer testing, not a longer extrapolation.
Arrhenius extrapolation moves the decay rate between temperatures:
α(T) = α₀ · exp[ -Ea / (k T) ]
Plotting ln(α) against 1/T yields a straight line whose slope gives the activation energy. That slope, not an assumed value, is what makes the projection specific to the tested product.
| Product | Test case T | α (per 1000 h) | Fitted Ea | L70 at 55 °C |
|---|---|---|---|---|
| J-01 3535 Keramik | 55 / 85 / 105 °C | 0.012 / 0.028 / 0.061 | 0.42 eV | ≈ 62,000 h |
| J-02 5050 Keramik | 55 / 85 / 105 °C | 0.014 / 0.031 / 0.068 | 0.40 eV | ≈ 54,000 h |
| J-05 2835 IR | 55 / 85 °C | 0.029 / 0.071 | 0.55 eV | ≈ 27,000 h |
| J-15 3535 UVC | 45 / 65 °C | 0.048 / 0.104 | 0.38 eV | ≈ 14,000 h |
Note that J-15 (3535 UVC 275 nm) has a markedly shorter projected life than the visible-light parts, which is expected: ultraviolet photons drive encapsulant degradation directly, so the decay constant is higher at every temperature. Lifetime discussion for UV-C devices must be conducted separately from white-light devices. It must also be kept separate from Z-14, the 254 nm / 365 nm mercury-lamp tube, whose degradation follows lamp-chemistry physics rather than LED encapsulant physics.
4. Weibull treatment of the sample distribution
Lumenwartung describes the average device. Weibull analysis describes the spread, and buyers care about the spread because a specification is a promise about the population, not the mean.
The two-parameter Weibull cumulative distribution function is:
F(t) = 1 - exp[ -(t / η)^β ]
where η is the scale parameter (characteristic life, the time at which 63.2 % of the population has failed) and β is the shape parameter. The shape parameter carries physical meaning: β < 1 indicates a decreasing hazard rate (infant mortality, typically process defects); β ≈ 1 indicates a constant hazard (random failures); β > 1 indicates an increasing hazard (wear-out).
For LED-Pakete under steady-state thermal stress, β typically falls between 1.5 and 3.0 for the lumen-depreciation failure definition, which confirms wear-out behaviour and justifies an L-threshold specification.
| Parameter | Value (J-01 example) | Interpretation |
|---|---|---|
| β (shape) | 2.1 | Wear-out; failures concentrate late |
| η (characteristic life) | 78,000 h | 63.2 % below this point |
| B10 life | 42,000 h | 10 % of population below |
| B1 life | 21,000 h | 1 % below — the warranty-relevant number |
| Fitted at | 3 stress levels, n = 30 per level | Statistically adequate for B10 |
The B10 life is the number most often quoted in commercial documents, but for automotive and medical applications the relevant figure is usually B1 or even B0.1, because the acceptable failure fraction is far below ten percent. J-01, J-02 and J-03 ceramic packages are the parts most often specified to automotive-grade failure fractions; note that the automotive qualification status is AEC-Q102 in Bearbeitung und die Weibull data supports the reliability argument but is not itself a qualification certificate.
5. Confidence bounds and sample size
A Weibull fit from a finite sample carries sampling uncertainty. The standard remedy is a confidence bound on the life estimate, commonly the 90 % lower confidence bound, which states that the true value is above the quoted figure with 90 % probability.
Sample size drives how tight that bound can be. With all samples failing (complete data), a sample of 20 gives a B10 confidence bound roughly 25–35 % below the point estimate; a sample of 60 tightens that to roughly 12–18 %. With censored data (a test stopped before all units fail), the bound widens, und die number of failures rather than the number of samples governs the result.
| Sample size | Failures observed | B10 lower bound vs point estimate | Practical use |
|---|---|---|---|
| 10 | 10 | -38 % | Screening only |
| 20 | 20 | -28 % | Internal design decisions |
| 40 | 40 | -20 % | Supplier claims |
| 60 | 60 | -15 % | Warranty underwriting |
| 100 | 30 (censored) | -26 % | Censored tests need more units |
6. Test planning checklist
A defensible accelerated life test for an LED package should specify the following before any sample is mounted:
- The failure definition (L70, L80, catastrophic open, or a parameter shift threshold) und die measurement instrument.
- Three or more stress levels, with at least 20 samples per level, und die rationale for each level.
- The measurement interval, which must be frequent enough to fit the decay curve, typically every 1,000 hours.
- The case temperature control method, held within ±2 K, with the measurement point defined physically.
- The extrapolation limit: no more than six times the test duration per TM-21.
- The statistical method und die confidence level to be reported alongside the point estimate.
- The board stack-up, which must match production, because thermal resistance depends on it.
7. Common extrapolation errors
| Error | Effect | Correction |
|---|---|---|
| Assuming an activation energy | Projection unrelated to the part | Fit Ea from at least two temperatures |
| Extrapolating beyond 6× test duration | Unsupported claim | Extend the test or shorten the claim |
| Testing on a different board than production | Wärmewiderstand mismatch | Use the production stack-up |
| Reporting the point estimate only | Unknown reliability | Report the lower confidence bound |
| Pooling data from different bins | Mixed populations invalidate β | Analyse by wavelength and flux bin |
| Applying Arrhenius to UV-C degradation | Wrong physics | Treat UV-C encapsulant degradation separately |
8. Conclusion
An LED lifetime claim becomes engineering data when it names the test conditions, the fitted degradation model and its activation energy, the statistical distribution of the population, und die confidence bound on the reported figure. Buyers specifying J-01, J-02, J-03, J-05 or J-15 should require LM-80-format data at a case temperature at or above the application’s expected operating case temperature, a TM-21-format projection with its extrapolation limit stated, and a Weibull B10 or B1 figure with the sample size and confidence level disclosed.
9. Referenzierte Standards
- IES LM-80-21 – Zugelassene Methode: Messung des Lichtstroms und der Farberhaltung von LED-Paketen, -Arrays und -Modulen
- IES TM-21-19 – Prognose einer langfristigen Lumenerhaltung von LED-Lichtquellen
- IES TM-28 — Projecting long-term luminous flux maintenance of LED-Lampes and luminaires
- JESD91 – Methode zur Entwicklung von Beschleunigungsmodellen für Ausfallmechanismen elektronischer Komponenten
- JESD22-A104 – Temperaturwechsel
- JESD22-A105 — Power and temperature cycling
- IEC 60068-2-78 — Damp heat, steady state
10. Kontaktieren Sie uns
QUEENDOM can provide LM-80-format lumen maintenance data, fitted TM-21 projections and Weibull analysis for the ceramic and high-reliability parts in the J-series. Kontakt the component engineering group with the intended case temperature, drive current and expected service life so that the test plan can be matched to the application.
Verwandte Produkte und Anwendungen
The packages for which accelerated-life data is held are listed below.
- Hochleistungs-SMD-LED (J-01)
- Hochleistungs-SMD-LED (J-02)
- UVC 275 nm LED (J-15)
- Infrarot-Sender-LED (J-05)
- Anwendungsübersicht: Anwendungslösungen für LED-Komponenten
- Weitere Fachbeiträge: LED-Wissensressourcen















