Project 01 // Core Engine

Soft Sensor Prediction
Models.

Machine learning models for industrial sensor value estimation

Machine LearningSoft SensorsIndustrial AITime Series

MAC

Machine Learning

SOF

Soft Sensors

IND

Industrial AI

TIM

Time 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

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

Focused on public-safe design patterns without exposing operational data or client-specific details.