---
publication_id: "OT-2026-000000363"
title: "Machine learning for detecting and modifying faulty controls"
published_at: "2026-09-15T19:02:47.723219Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000000363"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b23/0272"
  - "g05b23/0281"
  - "h04l41/16"
---

# Machine learning for detecting and modifying faulty controls

## Abstract

In some aspects, a computing system may use machine learning to determine whether a control is faulty or generate recommendations to make a modification to a control. may identify a portion of problematic computer code that implements the faulty control through the use of machine learning. A computing system may use machine learning to generate embeddings that map incident data and control data (e.g., computer-readable code of a control) to the same vector space. Further, a computing system may use a weighting mechanism that may be used to weight each sample used to train a machine learning model, which may allow a model to train more efficiently.