Project 01 // Core Engine
Soft Sensor Prediction
Models.
Machine learning models for industrial sensor value estimation
Machine LearningSoft SensorsIndustrial AITime Series
ImprovedOperational accuracy
25%Efficiency gain
ML/DLModel family
Process // 01
The Challenge
Industrial monitoring can require inferred sensor values when direct measurements are delayed, noisy, or costly.
Bottleneck Analysis
Identification of relay failures in distributed nodes.
Process // 02
The Solution
- Developed ML/DL models for estimating soft sensor values from available operational signals.
- Built data pipelines that reduced processing time and supported repeatable training.
Architecture