Introduction to ALT

Relyence ALT provides a framework for you to manage and perform accelerated life testing analysis. ALT analysis is used to analyze data obtained through accelerated life tests in order to predict product reliability under normal operating conditions.

We recommend going through Getting Started with Relyence ALT as a starting point for learning Relyence ALT. From there, you can proceed to performing your own analyses. The following process is intended to be a starting point; you can adapt it as required for your needs.

1. Plan and perform your accelerated life tests

First, you must decide on your accelerated life test plan and execute it. Your particular accelerated life testing will depend on the requirements for your product. You can run multiple accelerated life tests, depending on the stresses you wish to evaluate. 

2. Gather your ALT data

Once you have completed your tests, gather the data obtained. Your data will include failure times, and may also include additional information such as stresses,  intervals, groups, and suspensions.

3. Create your ALT Data Sets

Once your data is gathered, you enter the information in either a single Data Set, or multiple Data Sets. This is a tabular format that is used for ALT analysis. If you have captured your data in an Excel spreadsheet, you can import it into Relyence ALT.

4. Select the calculation parameters

You select the ALT calculation parameters to use for data analysis.

First, you set the distribution to use. You can either choose to perform a Best Fit analysis or select the distribution you prefer. When using the Best Fit analysis, the best fit distribution for your data will be determined. You can then use this as your selected distribution.

You can also select your choice for stress model to use.

5. Perform the ALT analysis

Once the calculation parameters are set, you can perform a calculation and see the results. The resulting data parameters are dependent on the selected distribution. The parameters define the shape of the curve fit of the data set.

6. Analyze the ALT plot and results

Lastly, once calculated, the ALT plot can be viewed and analyzed. You can choose the type of plot you wish to see, such as  Reliability vs Time, Probability or PDF plot. When viewing the plots, you can assess the failure trend of your data and compute predicted failure metrics of your product under normal stress conditions.