Two major measurement methods of LED lamp reliability for product life verification and environmental testing

The following will briefly introduce the two major parts, regardless of whether the LED is presented in the form of a part or a finished product, the following model can be used and followed to achieve the basic verification of the LED product.

1. Product life verification

In the electronics industry, in order to require the life of the product, three methods are usually used

(1) Life expectancy method (PredicTIon)

Method: According to the principles of MIL HDBK 217 Part Count (Part count) and Part Stress (Part stress), use the software to calculate the life of the product.

Advantages: Short time consumption and low cost

Disadvantages: The result is easily different from the actual product life

(2) Life measurement method (DemonstraTIon)

Method: Use the AcceleraTIon model to find the acceleration factor (AcceleraTIon factor) and provide the actual sample. Use the environmental test simulator to measure the sample to obtain the product life. At present, Arrhenius model (high temperature acceleration), Coffin-Manson model (temperature cycle acceleration) and Hallberg-Peck (humidity acceleration) are the most widely used acceleration models.

Advantages: The results are more realistic than the estimation method and the industry accepts it

Disadvantages: higher cost and longer time-consuming than estimated method

(3) Market return method (Field return)

Method: Recall the status of product users in the market.

Advantages: The result is equal to the real life

Disadvantages: longer time and cost, difficult to obtain market use status, usually only the brand field saves itself

The above three methods for obtaining product life are the most widely used in the industry by the life measurement method, because it not only can avoid the shortcomings that the difference between the result and the actual production is too large, but also it is obtained through actual measurement, regardless of the high acceptance of the buyer and seller.

2. Product environmental test verification

First of all, we must do a life profile analysis of the product we designed. What environment can this product exist in the life cycle? What is the user? What are the attributes of this product? Are there any other special requirements for the product? These factors may affect the specifications that will be tested in the future. Do not fall into the specification during the process, because a good verification specification is definitely not completely copied from a specification, because no matter how good the specification is, Simulating actual environmental requirements is all in vain, and only wastes more resources and costs. For example: The designer of LED lamps designed a street lamp for use in the streets of Indonesia, and formulated verification specifications of low temperature -40 ℃, I am very happy to continue, because the recommended low temperature in IEC is -40 ℃. But please recall that Indonesia is located near the equator and has a tropical climate. With high temperatures and humidity all year round, how can it encounter a climate of -40 ° C? Therefore, designing a product in an environment that can never be encountered will only increase the design cost, because the cost of designing LED lamps that can withstand a -40 ° C environment must be higher than that of a design that can withstand a 0 ° C environment.

Therefore, product designers should return to the fundamentals and carefully examine the products they design in order to achieve a reliable verification that is efficient and can meet the actual needs.

Finally, because LED products are different from other electronic products, they must be measured for their luminous characteristics before and after reliability verification. Generally, the commonly used calculus sphere or light distribution curve meter can measure the color of LED products (Color temperature), luminous flux (Luminous flux), luminous intensity (Luminous intensity), color coordinates (Chromaticity coordinates), color rendering (Color rendering), wavelength (Wave length), etc. , As a basis for reliability verification and judgment results.


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