The Time Domain Analysis (TDA) module in the OROS NVGate platform is designed to extract and analyze statistical content from noise and vibration signals in the time domain. It offers flexible signal overview through oscilloscope-like displays and computes scalar statistical results such as DC, RMS, Max, Min, Skew, and Kurtosis over user-defined time intervals. The module supports both real-time and post-processing workflows, allowing users to monitor, record, and analyze time-domain signals from multiple channels. TDA integrates with other NVGate modules, enabling correlation with frequency and order analyses, and supports advanced triggering, event detection, and waterfall profile visualization. The system is suitable for machinery diagnostics, long-term monitoring, and critical event analysis, providing comprehensive tools for both field and laboratory environments.

Key Features

Oscilloscope-like Time Views Visualizes time-domain signals for immediate assessment.

• Real-time display of input signals
• Supports multi-channel overview

Statistical Extraction Computes key scalar indicators from time-domain data.

• DC, RMS, Max, Min, Skew, Kurtosis calculations
• User-defined averaging and time intervals

Real-Time and Post-Processing Analysis Flexible workflows for various measurement scenarios.

• On-line monitoring during acquisition
• Post-analysis of recorded data

Advanced Triggering and Event Detection Captures critical events and supports automated workflows.

• Level and delta level event detectors
• Integration with waterfall profiles for 3D visualization

Multi-Channel Support and Hot-Swap Capability Handles complex measurement setups.

• Up to 4 channels monitored simultaneously
• Dynamic input hot-swapping during acquisition

Integrated Reporting and Data Export Facilitates documentation and sharing of results.

• Export/import time domain files
• Playback and listen to recorded tracks

Benefits

Comprehensive Diagnostics Enables detailed analysis of noise and vibration sources.

• Extracts statistical content for root cause identification
• Supports machinery health monitoring and event analysis

Efficiency and Flexibility Optimizes workflows for diverse applications.

• Real-time and offline analysis options
• Adaptable to both field and laboratory environments

Enhanced Data Management Streamlines acquisition, analysis, and reporting.

• Integrated project management and data storage
• Seamless transition from measurement to documentation