⚡ Real-Time Industrial Signal Analysis

VectoraLab Engine

A modular framework for real-time vibration analysis, statistical feature extraction, and transparent condition assessment for industrial systems.

Spectrogram Monitor
Spectrogram Monitor
FFT Spectrum
FFT Spectrum
Anomaly Detection
Anomaly Detection

The Industrial Blind Spot: Reactive Maintenance

Unexpected machinery downtime costs global manufacturing billions annually. Current monitoring infrastructures are either completely reactive or operate as complex, closed-source 'black boxes'.

VectoraLab breaks this paradigm by combining mathematical transparency with low-latency edge processing.

Engineered for Precision

Multi-Domain DSP

Extract features across Time, Frequency, and Envelope domains.

Edge-Ready Low Latency

Optimized for industrial gateways and edge devices.

Statistical Feature Engine

Compute up to 24 statistical indicators per signal frame.

ISO 10816 Compliance

Apply ISO 10816-based vibration assessment within analysis workflows.

Free Online Tools

No install, no signup required — start analyzing vibration data right now.

VectoraLab's calculations and tools are built around the international ISO 10816 and ISO 20816 vibration severity standards for rotating machinery.

Modular System Architecture

VectoraLab divides signal monitoring into decoupled processing stages.

Click any node to see details.

Signal Processing Pipeline

1

Time-Domain Signal

Live acquisition of raw sensor data (Vibration/Acoustic).

2

FFT Analysis

Converting signals to frequency domain to identify primary components.

3

Spectrogram

Time-frequency analysis to monitor non-stationary signal behavior.

4

Trend Extraction

Advanced feature engineering to track health degradation over time.

5

Anomaly Assessment

Statistical analysis of signal behavior to identify abnormal patterns.

ANALYSIS_NODE_01 // TIME-DOMAIN SIGNAL
VectoraLab Signal Phase

Interactive Health Assessment

Explore how changes in an illustrative assessment index can reflect different example condition states.

92SCORE
Condition SimulatorExcellent

Illustrative Assessment: Example: the selected condition remains within the nominal range.

Illustrative Health Assessment Model

VectoraLab can use statistical feature deviations to construct interpretable condition assessment models.

This illustrative model uses weighted exponential decay to demonstrate how feature deviations can influence an assessment index.

Explore Math Sandbox
Mathematical Formulation
H(t) = 100 × exp( − Σ wᵢ Dᵢ(t) )
H(t)Instantaneous health index
Dᵢ(t)Feature statistical deviation
wᵢWeight coefficient

Feature Extraction Model

VectoraLab extracts statistical features from vibration signals to characterize machine condition and identify changes and abnormal signal patterns.

Energy Level

RMS

x_rms = √(1/N * Σ x_i²)

Root Mean Square (RMS) captures the overall vibration energy level.

Impulse Detection

Kurtosis

K = [Σ(x_i - μ)⁴ / N] / σ⁴

Kurtosis detects impulsive mechanical events such as bearing impacts.

Asymmetry

Skewness

γ = [Σ(x_i - μ)³ / N] / σ³

Skewness measures asymmetry in vibration signal distribution.

Statistical Deviation Model

Each feature deviation is normalized using baseline statistics.

Statistical Deviation Model
Dᵢ(t) = |Fᵢ(t) − μᵢ| / σᵢ

Real-time features are compared with baseline mean (μ) and standard deviation (σ).

Health Score Interpretation

Illustrative IndexExample StatusExample Interpretation
80 – 100*
Example: Normal
Machine operating under normal condition.
50 – 80*
Example: Warning
Moderate degradation detected. Maintenance recommended.
0 – 50*
Example: Critical
Severe anomaly detected. Immediate action required.

* These ranges are illustrative only and do not represent final product thresholds.

Simple, Transparent Pricing

Choose the VectoraLab service that fits your workflow.

Software

$10

VectoraLab desktop software for sensor-data analysis

Hardware Integration

$40 / 30 days

Connect customer hardware to the VectoraLab website

Applied Industrial Engineering

01

Rotating Machinery

Monitoring turbines, pumps, motors and gearboxes.

02

Predictive Maintenance

Condition monitoring and analysis to support predictive maintenance workflows.

03

Industrial R&D

Research platform for signal processing engineers.

Telegram Bot

Intelligent Industrial Alert Bot

Receive real-time machine alerts directly in Telegram the moment an anomaly or critical condition is detected.

Instant Alerts

Real-time alerts based on defined signal changes and conditions

Daily Reports

Automatic daily health summary every morning

Multi-Market

Each team manages its own monitoring scope

Dedicated Webhook

A unique HTTPS endpoint per user

Start with Telegram Bot

Free · 7-day trial · No installation needed

VectoraLab – Industrial Vibration Analysis & Predictive Maintenance Platform