Reliability testing has always been a challenge for semiconductor companies, and it is becoming even more difficult as devices continue to shrink and are integrated together in advanced packages. With each passing day, devices are being utilized under different conditions, with varying life expectancies based on their intended application and use case. In order to address these challenges, industry experts are now turning to innovative approaches to extract data from inside the devices themselves.
Traditionally, stress and structural testing have been the go-to methods for evaluating device reliability. However, these approaches often fail to provide a comprehensive understanding of how close a device is to failure and the rate of failure. To bridge this gap, new techniques are being employed that leverage deep data and telemetry. By extracting internal data from devices, engineers are able to gain valuable insights into their performance and predict potential failures.
Nir Sever, Senior Director of Business Development at proteanTecs, and Luca Moriconi, R&D and Roadmap Manager at ELES Semiconductor Equipment, highlight the importance of this shift in testing methodology. They emphasize the need to not only understand how devices perform under stress, but also to monitor their real-time operation and analyze the internal data generated by the devices themselves.
This new approach to reliability testing is vital for semiconductor companies to ensure the quality and longevity of their products. By leveraging deep data and telemetry, it becomes possible to determine the rate of failure and predict potential future failures. These insights enable companies to proactively address reliability issues and enhance the overall performance and durability of their devices.
As the semiconductor industry continues to evolve and devices become more complex, the need for accurate and reliable reliability testing becomes paramount. By embracing new techniques that extract internal data from devices, companies can stay ahead of the curve and deliver products that meet the ever-increasing demands of the market.