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Lesson 1 - Introduction - IoT Anomalous Waveform Analytics for Failure Analysis

In this course, you will learn the innovative failure analysis of MCU and FPGA using CX3300A and its Anomalous Waveform Analytics.

MCUs and FPGAs are being heavily used in mission critical IoT devices such as Automotive and Medical/Healthcare applications, and reliability is critical. If an IoT device malfunctions it could lead to a serious incident. And if the problem is discovered after the launch, it may lead to a large-scale business impact including recalls and more serious implications. In order to avoid such risks, it is necessary to quickly identify and fix potential HW / FW / SW defects and improve product reliability before the market launch.

Who should take Use IoT Design Anomalous Waveform Analytics for Innovative Failure Analysis?

This course is designed for MCU and FPGA designers concerned with improving the device reliability.

We'll cover:

  • Reliability aspects for MCUs and FPGAs in IoT design
  • Three technical challenges for achieving product reliability
  • Innovative software (Anomalous Waveform Analytics) to capture and analyze waveforms to enhance product reliability
  • Anomalous Waveform Analytics Demo

Duration: 1 hr