ASaP AI™
AI and Continuous Waveform Analytics
    Key features include:
  •   Advanced electrical signal monitoring
  •   Detecting early indications of faults before they occur
  •   Combining Artificial Intelligence with Waveform Analytics
  •   Compatible with the full suite of Fischer Block, Inc. Analytical Tools
  • DATASHEET
    USING WAVEFORM ANALYTICS AND AI TO IMPROVE RELIABILITY
    Weak insulators, excessive arcing during capacitor bank or breaker switching, noisy load-tap changers, failing equipment and and loose connections, can all cause problems ultimately lead to system faults and equipment breakdown. Pre-fault detection is key to preventing faults and disturbances in an electrical power system. High-resolution waveform monitoring and analysis provides users with the insight and actionable intelligence needed to keep their systems up and running smoothly.

    Fischer Block device sensors monitor waveform signals in high-resolution in an entirely new way. Patent-pending algorithms are used to make sensitivity decisions based on historical learning within the ASaP AI™ analytics engine, providing engineers and operators with new critical actionable insight to avoid costly outages.

    FISCHER BLOCK APP STORE
    Join the community...   Learn how you can build your own Grid App™ and share with industry
    EXPLORE

    Copyright © , Fischer Block, Inc. All Rights Reserved