High-Precision Sensing, Real-Time Equipment Insights

Accurate perception of operating conditions

Rotational speed recognition algorithm.

Real-time classification of the operating conditions of pumps, compressors, and other equipment.

Edge feature extraction

Overall value

Time-domain waveform

Spectrum features

Envelope spectrum features

Edge early warning intensive collection

Dense sampling at variable points.

Dense sampling during startup.

Multi-index alarm at the edge.

Green channel backhaul….

 

Construct an Algorithmic Solution That Combines
Data-Driven and Domain Knowledge

Feature Extraction

Time-frequency signal processing + mechanism feature enhancement.

Operating Condition Identification

Multi-cluster clustering in different scenarios, normal modeling techniques, machine learning classification, etc.

Edge Early Warning Additional Sampling

LSTM multivariate time series monitoring, decision tree construction, image/sound deep network classification models, etc.

Dense Collection of Effective and Critical Data

Accurate and Timely of Equipment Status Perception

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