XHGG502A προεπιλογή ελαττώματος καλωδίου

Άλλα Βίντεο
October 31, 2024
Σύνδεση Κατηγορίας: Τοποθετητής σφαλμάτων καλωδίου
Σύντομη περιγραφή: Discover the XHGG502A Portable Automatic Test Long Cable ARC Multi Pulse Cable Fault Pre Locator, a cutting-edge tool for diagnosing power cable faults. Featuring a 10.1-inch touch display, industrial-grade components, and multiple testing modes, this device ensures accurate and reliable fault detection for various cable types.
Σχετικά Χαρακτηριστικά Προϊόντος:
  • 10.1-inch full-color TFT touch display for easy operation and clear visibility.
  • Embedded system with safe, stable, and simple display and operation modes.
  • Functions include cable wave speed testing, cable length measurement, and fault distance detection.
  • Automatic test range setting and waveform analysis for precise results.
  • Supports low-voltage pulse, high-voltage flashover, and multiple pulse methods (8 times).
  • Massive waveform storage capacity with over 8,000 records for low-voltage pulses and high-voltage flashovers.
  • Ultra-high brightness LED backlight (280nit) for use in direct sunlight.
  • Complies with GB/T 18268.1, DL/T 849.1-2019, and JJF1042-2020 standards.
Ερωτήσεις:
  • What types of cable faults can the XHGG502A detect?
    The XHGG502A can detect low-resistance, short-circuit, open-circuit, disconnection faults, high-resistance leakage, and high-resistance flashover faults in power cables, high-frequency coaxial cables, street light cables, and buried wires.
  • What are the key features of the XHGG502A's display?
    The XHGG502A features a 10.1-inch full-color TFT touch display with ultra-high brightness (280nit) and a resolution of 1024x600, making it easy to use even in direct sunlight.
  • How does the XHGG502A ensure accurate fault detection?
    The XHGG502A uses a combination of modern electronic technology and computer technology for signal filtering, data processing, and graphic analysis, along with automatic test range setting and waveform analysis to ensure precise fault detection.
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