AI explains the causes and countermeasures for oscilloscope waveform anomalies. A waveform characteristic evaluation assist tool to streamline evaluation and analysis.
Are you struggling with the sudden increase in effort required for waveform anomaly response and evaluation? ● It takes time to identify the cause of waveform anomalies ● The evaluation relies on the experience of engineers ● Even if automatic testing can make a judgment, the "reason" is unclear ▼ Leave it to the waveform characteristic evaluation assist tool "Waveform Insight"! ――Features―――――――――――――――――――――― ◆ AI automatically provides "cause explanations" and "response methods" for waveform anomalies ◆ Works in conjunction with Waveform Meister to automate everything from judgment to explanation ◆ Can be integrated into automatic measurement programs, achieving automated testing from measurement to explanation ◆ Supports both waveform image data and numerical data ◆ Explanation content can be freely customized according to application ――――――――――――――――――――――――――― This product is a waveform evaluation tool that utilizes AI technology. By combining it with the automatic judgment tool Waveform Meister, it assists developers with "cause explanations" for anomalies in waveforms obtained from oscilloscopes and "response methods" to resolve abnormal conditions.
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basic information
■What is Waveform Insight, the Waveform Characteristic Evaluation Assist Tool? Waveform Insight is an AI platform that performs everything from learning to explanation. Based on the information from learned data (past waveform data, causes of abnormal waveforms, and response history), it outputs the causes of abnormalities and corresponding solutions. By automating the evaluation tasks from judgment to explanation, it contributes to improving the quality of evaluation work. Furthermore, it also helps enhance the analytical skills of engineers. ■Features of Waveform Insight - AI explains waveform characteristics instead of engineers. - Assists with "cause explanations" for waveform abnormalities and "response methods" to resolve them. - Achieves automated testing from measurement to explanation by integrating with automatic measurement programs. - Supports both image data and numerical data. - Automates "waveform judgment" and "waveform explanation" in collaboration with Waveform Meister.
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■Use Cases ・LSI Development, Circuit Board Development Analog Evaluation (Evaluation of AC waveforms, power characteristics, etc.) Logic Evaluation (Timing checks, waveform quality checks for high-speed interfaces, etc.) Utilization for engineer training by confirming the content of explanations Use of AI waveform explanation judgment model generated during development in mass production testing Analysis of simulation waveforms during design Characteristic analysis of spectral waveforms ・Anomaly Detection Anomaly detection of sensor data (vibration, pressure, current, temperature, etc.) Checking for abnormal noise (such as spike noise) ・Integration into Customer Tools Implementation into waveform viewer software Implementation into test systems Implementation into data monitoring systems
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We will provide optimal solutions that contribute to our customers' businesses through our "extensive experience and achievements accumulated over many years" and "high technical capabilities" in the fields of embedded and LSI design.
