Official Nodes · NODE LIBRARY

Every Official Acoustic Node
Ready to Use

Each node does one thing; wire them together into an analysis pipeline.
Ingest → Filtering → Frequency / Time-Frequency / Order → Psychoacoustics → Features → Classification → Visualization, covering the full NVH chain.

One node, one jobWiring is the pipelineReproducibleEmbeddable in dashboards
40+
Official acoustic nodes
10
Functional groups
Plugins
Extensible ecosystem
Ingest & OrchestrationFiltering & WeightingSignal Math & Time StatsFrequency DomainTime-FrequencyOrder TrackingPsychoacousticsFeature EngineeringQuality & AnomalyViewers
Audio Segment Split01
audio_segment_split
Segment by time window / silence / fixed length.
Active Segment Detection02
active_segment
Automatically pick out signal-bearing segments from noise.
Convergent Trim03
convergent_trim
Drop transient sections and keep stable operating conditions.
Channel Select04
channel_select
Pick a specific channel from a multi-channel signal.
Channel Split05
channel_split
Split a multi-channel signal into separate single channels.
Signal Generator06
signal_generator
Synthesize sine / sweep / noise test signals.
Attribute Extraction07
attribute_extract
Extract fields such as RPM, operating condition and labels.
Annotation Merge08
annotation_merge
Merge an external annotation layer into the data stream.
Waveform Output09
audio_emit
Write the signal back to audio for audition and export.
FIR Filter01
fir_filter
Linear phase, no phase distortion.
IIR Filter02
iir_filter
Classic filters such as Butterworth / Chebyshev.
Frequency Weighting03
weighting_filter
A/B/C/Z acoustic weighting plus Wk/Wd/Wh human-vibration weighting (ISO 8041).
Signal Math01
signal_math
Integration / differentiation (acceleration↔velocity↔displacement), Hilbert envelope.
Time-Domain Statistics02
time_stats
RMS / peak / crest factor / kurtosis — core condition-monitoring metrics.
Indicator Math03
indicator_math
Indicator-level arithmetic / ratios / composite formulas.
Indicator Merge04
indicator_merge
Merge multiple indicator outputs into a single table.
FFT Spectrum Analysis01
fft_spectrum
Linear spectrum, the most commonly used frequency-domain node.
Octave Analysis02
octave_analysis
Compute energy distribution by 1/N octave bands.
Spectrum Smoothing03
spectrum_smooth
Smooth and denoise for reporting and comparison.
Multi-Scale Spectrum01
scale_space_spectrum
Multi-scale log-spectrum stack: small scales reveal impacts, large scales reveal steady state. GPU accelerated.
Spectral Feature Extraction02
fbank_extract
FBANK / Mel band features, a common input for machine learning.
Structure Tensor Features03
st_features
Characterize the orientation and strength of time-frequency structures.
Envelope Demodulation04
envelope_demod
Locate characteristic fault frequencies of bearings / gears.
Order Tracking01
order_tracking
Track per-order energy with rotational speed — essential for rotating machinery.
Sound Level Meter01
level_meter
IEC time resolution plus NVH vibration settings (2/5/10/20 ms).
Loudness02
loudness
Zwicker loudness (ISO 532-1).
Sharpness03
sharpness
Subjective sharpness (DIN 45692).
Roughness04
roughness
Annoyance from low-frequency amplitude modulation.
TNR05
tnr
Tone prominence / Tone-to-Noise Ratio, quantifying prominent tones.
Tonality06
tonality
Tonality, used together with TNR to identify tonal characteristics.
Modulation Spectrum07
modulation_spectrum
Reveal modulation phenomena such as whine and droning.
Baseline Statistics01
baseline_stats
Baseline quantities such as mean / variance / quantiles / kurtosis.
Feature Aggregation02
feature_merge
Combine features from multiple nodes into a matrix with automatic label alignment.
Feature Normalization03
feature_normalize
Z-score / MinMax / Robust normalization.
Spec Limit Check01
spec_limit_check
Judge OK / NG against spec limits, with automatic search for the best limit.
Cluster Exploration02
cluster_explore
KMeans / DBSCAN / hierarchical clustering — unsupervised structure discovery.
Z-Score Anomaly Detection03
zscore_anomaly
Pick out outlier samples by statistical threshold.
Chart Viewer01
chart_viewer
General-purpose ECharts charts with on-the-fly field switching.
Spectrum Viewer02
spectrum_viewer
Zoom / pan / spec limits / export.
Indicator Viewer03
indicator_viewer
Five chart types plus band ladder and spec limits.
Pivot Matrix04
matrix_view
Heatmaps: samples × features / category × category.
Plugin Ecosystem · EXTENSIBLE

When the official nodes fall short, write your own

Wrap your proprietary algorithm into a node with Python, add a parameter form and a viewer — and it drags into the pipeline, wires up, runs and embeds in dashboards just like an official node.

Keep it in a private repository for plug-and-play use within your team, or publish it to the template store to share with peers. You define the analysis system.

Node protocolBuilt in PythonPrivate repositoryParameter formCustom viewer
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