Analyzing complex vibration data in SIGVIEW relies on its core feature: a linked-window architecture. In this setup, the output of one signal processing window serves as the direct input for the next, letting you build a multi-stage visual analysis machine. Changes made to a raw time-signal dynamically cascade through all of your applied filters, spectral graphs, and 3D charts in real time. 1. Setting Up and Conditioning Raw Time Signals
Complex vibration signals are often filled with non-stationary background noise, requiring signal conditioning before transformation:
Data Ingestion: Load static file formats (such as 32-bit float WAV, TXT, or custom formats via Julia scripts) or capture live feeds by connecting directly to DAQ hardware.
Signal Segmentation: Zoom in on a specific segment of your long time-domain signal (e.g., exactly 1024 or 2048 samples) to use as your baseline analytical window.
Advanced Bandpass Filtering: Use custom filter curves to isolate frequency ranges. For example, set low cuts at 2 kHz and high cuts at 10 kHz to filter structural rumble and catch developing bearing faults. 2. Frequency-Domain Transformation
Because time-waveforms alone rarely reveal individual mechanical failures, you must translate the data into the frequency domain:
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