GB/T 36361-2018 in English
VALIDMartindale abrasion and pilling tester
- Issued on:2018-06-07
- Implemented on:2019-01-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$156.00
《GB/T 36361-2018LED加速寿命试验方法》由339-1(工业和信息化部(电子))归口,主管部门为工业和信息化部(电子)。
Introduction
1. Background and significance of the standard
LED (light-emitting diode) is the core component of modern lighting and display technology, and its life is directly related to the reliability of the product and user experience. Traditional life test methods are time-consuming and difficult to meet the needs of rapid R&D and market feedback. Accelerated life test methods, which predict the actual service life of products in a shorter time by applying additional stress (such as temperature) in a laboratory environment, have become an important means of LED reliability assessment.
2. Comparison of standard frameworks
| Standard dimensions | GB/T 36361-2018 | References/other methods |
|---|---|---|
| Test method | Constant temperature stress accelerated life test | GB/T 2689.1-1981 (step stress) |
| Failure criteria | Luminous flux attenuation, chromaticity parameter changes | Single luminous flux index |
| Data processing | Degradation coefficient analytical method + graphical estimation method | Statistical analysis (t-test, confidence interval) |
3. Practical application case analysis
A LED manufacturer adopted this standard to conduct accelerated life testing during the new product development stage. By setting three temperature stress levels (85℃, 95℃, 105℃), the luminous flux attenuation of 20 samples was tested, and the luminous flux maintenance life under different stresses was calculated.
The case results show that the average luminous flux maintenance life of the LED product can reach above the expected value (such as 70% of the initial luminous flux) under normal working conditions. By comparison, it was found that the degradation coefficient analytical method significantly shortened the test cycle compared with the traditional method, while improving the accuracy of the data.

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