特点

在设计和制造稳定、可靠和安全的小功率产品时,工程师需要从示波器和分析仪长时间收集并分析大量波形数据。 自动执行此项任务可以减少大量手动操作,提高您的工程设计效率,同时也不会影响准确度。

Keysight PathWave Waveform Analytics 是一款边缘到云的计算应用软件,能够进行长时间波形压缩、高清回放和多 TB 级数据分析。

这种自动化技术结合前期/后期处理机器学习模型,可以更简单地发现异常。 该软件可以帮助您快速、准确地发现波形异常。

  • 将长时间波形压缩 60%
  • 将波形传输时间缩短到原来的 1/10
  • 使用边缘到云计算应用软件轻松传输数据
  • 实现高压缩比,减少占用的存储器空间
  • 将需要的工程设计时间缩短到原来的 1/10
  • 以更高分辨率执行多级数据深入分析

Detect Anomalies Quickly Using Machine Learning

With its AI-based outlier detection and classification capabilities, PathWave Waveform Analytics enables R&D and design validation engineers to quickly detect anomalies such as voltage and current spikes on power and signal waveforms. 

Performing manual inspections of large waveform data sets is no longer necessary. Instead, you can run multiple validation tests, perform multiple dimensional comparisons, and fine-tune the waveforms over multiple channels, all using edge-to-cloud computing. You can also easily identify functional inconsistencies, rectify them quickly, and shorten costly validation time, thereby reducing overall budget costs.

Extend the capabilities for your PathWave Waveform Analytics

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