GB/T 36362-2018 in English

VALID

Point estimation and interval estimation for reliability testing of LED applied products(exponential distribution)

Issued on:2018-06-07
Implemented on:2019-01-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $160.00
$156.00

Standard No:	GB/T 36362-2018
Document status:	VALID
Title in English:	Point estimation and interval estimation for reliability testing of LED applied products(exponential distribution)
Title in Chinese:	LED应用产品可靠性试验的点估计和区间估计（指数分布）
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2018-06-07
Implemented on:	2019-01-01
ICS Classification:	31.260-Optoelectronics. Laser equipment
Chinese Classification:	L45-Microwave and millimeter wave diode and triode
Professional Classification:	GB-National Standard
Related Keywords:	interval estimation point estimation standard test method point estimation interval estimation point estimation interval estimation methods
Related Topics:	reliability test Product Counting Machine Product Counting Machine GB/T36362-2018 estimate interval distribution Interval distribution Distribution GB/T 36362-2018 GBT36362 GB/T 36362-2018 The difference between quantity distribution and volume distribution The difference between quantum dots and LED screens

《GB/T 36362-2018LED应用产品可靠性试验的点估计和区间估计（指数分布）》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

GB/T 36362—2018 Standard Overview

The National Standard of the People's Republic of China GB/T 36362—2018 "Point Estimation and Interval Estimation of Reliability Test of LED Application Products (Exponential Distribution)" specifies the point estimation and interval estimation methods of LED application products in reliability tests. This standard is applicable to LED products that use exponential distribution models for data analysis, and aims to evaluate the average failure-free life of products through laboratory test data and field use data processing.

Comparison of standard frameworks

Standard dimension	GB/T 36362—2018	Reference standard
Test method	Point estimation and interval estimation (exponential distribution)	GB/T 2689.1—1981 Constant stress life test method
Data processing	Timed truncation test and failure criterion analysis	GB/T 5080.6—1996 Equipment reliability test method
Confidence Level	60% and 90%	GB/T 4086.2—1983 χ² Distribution Table

Technical Background and Evolution Analysis

The reliability of LED application products is a key indicator to measure their quality and service life. With the rapid development of LED technology, product life prediction and reliability assessment methods are also constantly updated. The traditional constant failure rate assumption (CEM) can no longer meet the complex needs of modern LED products in some scenarios. Therefore, GB/T 36362—2018 introduces point estimation and interval estimation methods based on exponential distribution, combined with confidence levels for more accurate life assessment.

Explanation of professional terms

Practical application cases of point estimation and interval estimation

Point estimation:A single parameter value calculated from sample data is used to estimate a population parameter (such as mean time between failures). In LED application products, the point estimation formula is: $$ m = \frac{T^*}{r} $$ Where $m$ is the mean time between failures, $T^*$ is the cumulative test time, and $r$ is the number of failed samples.

Interval estimation:A confidence interval for a parameter is established based on the point estimate and the confidence level. For example, at a 90% confidence level, the lower limit of the mean failure-free life is calculated as follows: $$ m \geq \frac{2T^*}{\chi_{0.9}^2(2r+2)} $$ Where, $\chi_{0.9}^2(2r+2)$ is obtained by looking up the table.

Implementation Suggestions

Data Collection:Ensure the integrity and accuracy of the test data, and use an automatic recording device or a timed truncation method to obtain the failure time.
Failure Criteria:Strictly follow the failure criteria defined in the standard, including indicators such as lumen maintenance rate and luminous abnormality.
Data Analysis:Use the formulas and tables provided by the standard to perform point estimation and interval estimation calculations, and adjust the analysis method based on the results of the data validity test.
Report Writing: The test report should include sample description, test conditions, failure criteria, data processing methods and conclusions to ensure traceability and repeatability.