Soft Sensor Design Patterns

Sourced case studies from published industrial deployments of soft sensors, virtual sensors, and state estimation systems.

3 patterns published

NOx Emission Soft Sensor for Coal-Fired Power Plant

A Just-In-Time Random Forest soft sensor predicts NOx emissions from coal-fired boiler process variables, achieving R²=0.93 and outperforming six benchmark models across variable load conditions.

EnergyPower Generation

Read pattern → 02

Soft Sensor for Effluent Quality Prediction in WWTP

An LSTM neural network and Random Forest ensemble predicts COD, TSS, and BOD from low-cost continuous sensors, replacing expensive lab-delay-driven monitoring in wastewater treatment plants.

Water & WastewaterMunicipal Infrastructure

Read pattern → 03

Soft Sensor for Melt Flow Index in Polymerization Reactor

A data-driven soft sensor predicts Melt Flow Index (MFI) from routine process measurements, replacing slow laboratory analysis with continuous quality estimates in a polymerization reactor.

ChemicalsPolymer Production

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