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Professional analysis for sensor data and engineering signals

VectoraLab is a specialized desktop application for real-time acquisition, processing, and analysis of sensor data and engineering signals, designed for industrial, mechatronic, laboratory, and research applications.

$10 — One-time purchase
01

Core capabilities

VectoraLab acquires, processes, and presents engineering data in a form that can be used by engineers and operators.

Real-time data acquisition
Signal analysis
Statistical analytics
Spectral analysis
Condition assessment
Data storage & export
02

Data acquisition & connectivity

The software can receive data from measurement devices, microcontrollers, and sensors.

Serial Communication

Receive data through serial ports for measurement devices, microcontrollers, and sensors.

Network Communication

Receive data over a network and connect to network-enabled measurement systems.

Measurement devices

Designed to work with different measurement data sources and hardware.

03

Signal feature extraction

VectoraLab extracts time-domain, spectral, and envelope features for detailed signal analysis.

Time-domain features

RMSMeanStandard DeviationSkewnessKurtosisCrest FactorImpulse FactorZero Crossing RateMinimum / MaximumSignal EnergyDrift

Spectral features

FFTSpectral CentroidSpectral BandwidthSpectral EntropySpectral Kurtosis

Envelope analysis

Envelope RMSEnvelope Kurtosis

Bearing fault analysis

BPFO — Outer RaceBPFI — Inner RaceBSF — Ball SpinFTF — Fundamental Train
04

Analysis & visualization engines

VectoraLab provides analytical tools for time-domain, frequency-domain, statistical, and dynamic signal analysis.

FFT Analysis

Extract frequency components and analyze the spectral behavior of signals.

Spectrogram

Visualize how the frequency spectrum changes over time.

Trend Analysis

Analyze long-term signal changes and identify trends in the data.

Statistical Analysis

Calculate and visualize important statistical indicators for signal assessment.

Correlation Analysis

Analyze relationships between different signals and channels.

Boxplot & Outliers

Analyze data distributions and identify outliers.

SOFTWARE DEMO

VectoraLab in Action

See VectoraLab acquire, analyze, and visualize vibration data in the desktop application.

LIVE DEMO
VectoraLab Desktop
Signal Analysis
Data AcquisitionSerial Input
Signal ProcessingTime & Frequency Analysis
Result VisualizationAnalysis & Monitoring
Live vibration monitoring in VectoraLab
Live Vibration MonitoringReal-time visualization of vibration signals for monitoring dynamic machine behavior and identifying changes in the measured signal.
Vibration trend and FFT analysis in VectoraLab
Vibration Trend & FFT AnalysisCombined time-domain trend and frequency-domain analysis for tracking signal changes and identifying dominant frequency components.
FFT spectrum analysis in VectoraLab
FFT Spectrum AnalysisFrequency-domain analysis using FFT to identify dominant spectral components and characteristic vibration frequencies.
Statistical vibration analysis in VectoraLab
Statistical Vibration AnalysisStatistical analysis of vibration data including RMS, standard deviation, kurtosis, crest factor, and distribution-based indicators.
Frequency peak tracking in VectoraLab
Frequency Peak TrackingTracking dominant frequency peaks over time to observe changes in the spectral behavior of the monitored system.
Vibration heatmap analysis in VectoraLab
Vibration Heatmap AnalysisHeatmap visualization for observing frequency and amplitude variations across successive vibration measurements.
05

System health monitoring

Extracted signal features can be used to monitor condition-related changes and support assessment of mechanical and electromechanical system behavior.

Health Monitoring

Signal feature analysis can be used to monitor condition and identify changes in system behavior.

06

Software architecture

A layered and modular architecture separates acquisition, processing, analysis, and presentation responsibilities.

Data Acquisition
Signal Processing
Analytics
Visualization
Health Assessment
07

Performance & technology

For real-time processing and responsive user interaction, the software uses a multithreaded architecture.

PythonProgramming language
PyQt5User interface framework
NumPyData processing
MultithreadingConcurrent processing
08

Typical workflow

The workflow is designed for engineers and operators, from device connection through analysis and health assessment.

01Launch VectoraLab
02Connect measurement device
03Acquire sensor data
04View signal in real time
05Analyze the signal
06Assess signal condition
07Store / export data

Start analyzing engineering signals with VectoraLab.

The software is available as a one-time purchase.

Vibration Analysis Software for Sensor Data | VectoraLab