Use IoT Design Anomalous Waveform Analytics for Failure Analysis
  • Courses
  • 10 items

Learn about how waveform analytics can be used for failure analysis.

Learn:

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

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

Provides an introduction to anomalous waveform analytics (AWA), a technique for identifying and analyzing patterns in waveform data that can indicate device failures.
Lesson 2 - Importance of MCU and FPGA Reliability

Lesson 2 - Importance of MCU and FPGA Reliability

Discusses the importance of MCU and FPGA reliability in IoT devices.
Lesson 3 - Key Challenges

Lesson 3 - Key Challenges

Discusses the key challenges in identifying and diagnosing failures in IoT devices.
Lesson 4 - Keysight Solution

Lesson 4 - Keysight Solution

Demonstrates how to use the CX3300A and Anomalous Waveform Analytics software to perform failure analysis on an IoT device.
Lesson 5 - Efficient Analysis of Large Data Sets

Lesson 5 - Efficient Analysis of Large Data Sets

Discusses the challenges of analyzing large data sets of waveform data.
Lesson 6 - Demo - Overview

Lesson 6 - Demo - Overview

Provides an overview of the demo that is included in the course. The demo shows how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.
Lesson 7 - Demo - AWA

Lesson 7 - Demo - AWA

Demonstration of how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.
Lesson 8 - Application Example

Lesson 8 - Application Example

Provides an application example of how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.
Lesson 9 - Summary - IoT Anomalous Waveform Analytics for Failure Analysis

Lesson 9 - Summary - IoT Anomalous Waveform Analytics for Failure Analysis

Summarizes the key concepts covered in the course and provides resources for further learning.
CX3300A Series Device Current Waveform Analyzer

Data Sheets

CX3300A Series Device Current Waveform Analyzer

Use IoT design anomalous waveform analytics for failure analysis.
Related Product
CX3324A Device Current Waveform Analyzer, 1 GSa/s, 14/16-bit, 4 Channel

hardware

CX3324A Device Current Waveform Analyzer, 1 GSa/s, 14/16-bit, 4 Channel

CX3324A is a 4-channel mainframe with up to 16-bit wide resolution. The memory depth and the bandwidth are upgradable up to 256 MSa/s and 200 MHz respectively.
Related Use Case
How to Characterize Low-Power Integrated Circuits

How to Characterize Low-Power Integrated Circuits

Use an SMU with integrated pulser / digitizer and IV curve measurement software to characterize low-power ICs