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Reliability is getting increasingly important for MCUs and FPGAs used in crucial applications areas such as automotive, medical and healthcare industries.
• Numerous MCUs and FPGAs are used in vital operations of EV/HEVs, pacemakers, surgical robots, etc.
• Any malfunctions could lead to potential fatalities and detrimental business impacts such as mass product recalls
• Fast rectification on any hardware/firmware/software defects and product reliability improvements is essential prior to market launch
Example of anomalous signal detection for MCUs
• Auto detection and classification on one of the anomalous waveforms that has a periodic noise out of 23,887 waveforms (The probability of the rare event is about 0.04%).
• Anomalous Waveform Analytics speeds up root cause analysis; enabling rapid release of reliable products to the market.
Resolving Challenges with CX3300A Device Current Waveform Analyzer and Anomalous Waveform Analytics
• CX3300A is capable to capture rare anomaly signals and measure the subtle differences between normal and anomalous signals precisely thanks to its excellent performance.
• Long duration measurement up to 100 hours with 10 MSa/s sampling rate
• Wide bandwidth up to 200 MHz
• High-resolution at 14-bit / 16-bit
• Low noise with high sensitivity from sub nA and sub uV
• Anomalous Waveform Analytics rapidly detects and analyzes anomalous signals in the current and voltage waveform data exceeding a terabyte that are not possible by manual analysis.
Summary
• CX3300A is an all-in-one measurement and analysis solution, integrating high bandwidth, high sampling rate, high sensitivity and long duration measurement recordings with waveform analytics revealing accurate current and voltage waveforms.
• CX3300A and the Anomalous Waveform Analytics enables speedy and persistent failure analysis of MCUs and FPGAs improving the product reliability.
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