---
publication_id: "OT-2026-000000292"
title: "Machine learning-based systems for parameter deviation monitoring and alerting in engines and pump controls"
published_at: "2026-09-15T19:02:42.622318Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000000292"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b13/0265"
---

# Machine learning-based systems for parameter deviation monitoring and alerting in engines and pump controls

## Abstract

Exemplary embodiments are disclosed of controllers with machine learning and systems including the same. In exemplary embodiments, a controller is configured to include or be operable for executing a machine learning process during which the controller learns normal level(s) of parameter(s) (e.g., system component(s) and/or sensor(s) parameters, etc.) to be monitored across a full operational range of a system component, which, in turn, enables the controller to compare the monitored parameter(s) to the learned normal level(s) for detection of issue(s) or problem(s) associated with the monitored parameter(s), e.g., regardless of the RPM at which the engine, machine, motor, or other system component is operating, etc.