Close Menu
  • About
  • Products
    • Find Solutions
    • Technical Q&A
    • Novelty Search
    • Feasibility Analysis Assistant
    • Material Scout
    • Pharma Insights Advisor
    • More AI Agents For Innovation
  • IP
  • Machinery
  • Material
  • Life Science
Facebook YouTube LinkedIn
Eureka BlogEureka Blog
  • About
  • Products
    • Find Solutions
    • Technical Q&A
    • Novelty Search
    • Feasibility Analysis Assistant
    • Material Scout
    • Pharma Insights Advisor
    • More AI Agents For Innovation
  • IP
  • Machinery
  • Material
  • Life Science
Facebook YouTube LinkedIn
Patsnap eureka →
Eureka BlogEureka Blog
Patsnap eureka →
Home»TRIZ Case»Accurate Saturation Detection for Current Transformers

Accurate Saturation Detection for Current Transformers

May 25, 20263 Mins Read
Share
Facebook Twitter LinkedIn Email

Accurate Saturation Detection for Current Transformers

Want An AI Powered R&D Assistant ?
Here’s PatSnap Eureka !
Go to Seek

Summary

Problems

Current methods for detecting saturation in current transformers are prone to false alarms and fail to accurately discriminate between unsaturated and saturated states, leading to unjustified inhibition or activation of protection relays in high voltage networks.

Innovation solutions

A method that detects faults in the secondary current waveform, estimates magnetic flux within a time window, and compares it with a threshold value to determine saturation, while also considering the appearance of successive faults and the absence of faults to prevent false detections.

TRIZ Analysis

Specific contradictions:

protection system reliability
vs
saturation detection accuracy

General conflict description:

Reliability
vs
Measurement precision
TRIZ inspiration library
1 Segmentation
Try to solve problems with it

Principle concept:

If current transformers are used for high current measurement in protection systems, then the protection coverage is improved, but false detection and inaccurate saturation discrimination occur leading to unjustified protection activation or inhibition

Why choose this principle:

The patent segments the saturation detection process into distinct phases: fault detection in secondary current waveform, time-windowed magnetic flux estimation starting from fault detection, and threshold comparison. This segmentation allows precise control of when integration occurs and enables accurate discrimination between saturation and non-saturation conditions, reducing false detection while maintaining protection reliability

TRIZ inspiration library
10 Preliminary action
Try to solve problems with it

Principle concept:

If current transformers are used for high current measurement in protection systems, then the protection coverage is improved, but false detection and inaccurate saturation discrimination occur leading to unjustified protection activation or inhibition

Why choose this principle:

The patent applies preliminary action by detecting faults in the secondary current waveform before performing magnetic flux estimation. The system identifies waveform abnormalities first, then initiates time-windowed integration only after fault detection, ensuring that saturation assessment is based on relevant current segments and preventing premature or inaccurate saturation determination

Application Domain

current transformers saturation detection protection systems

Data Source

Patent EP1845383A2 Method of detecting saturation of a current transformer
Publication Date: 17 Oct 2007 TRIZ 电器元件
FIG 01
IMGF0001
FIG 02
IMGF0002
FIG 03
IMGF0003
Login to view Image

AI summary:

A method that detects faults in the secondary current waveform, estimates magnetic flux within a time window, and compares it with a threshold value to determine saturation, while also considering the appearance of successive faults and the absence of faults to prevent false detections.

Abstract

The method involves detecting a fault of a secondary current/voltage waveform of a current transformer. A magnetic flux in the secondary of the transformer is estimated by integration of the secondary current during a time window from the detection of the fault. The estimated magnetic flux is compared with a threshold value, where saturation of the transformer is detected while the threshold value exceeds the magnetic flux. An independent claim is also included for a computer program comprising software adapted to implement a method for detecting saturation of a current transformer.

Contents

    Accelerate from idea to impact

    Eureka harnesses unparalleled innovation data and effortlessly delivers breakthrough ideas for your toughest technical challenges.

    Sign up for free
    current transformers protection systems saturation detection
    Share. Facebook Twitter LinkedIn Email
    Previous ArticleInductance Estimation for Reliable PMSM Sensorless Control
    Next Article Dynamic Focusing in Charged Particle Systems for Semiconductor Precision

    Related Posts

    Lift Assist System for Easier Foldable Roof Operation

    May 26, 2026

    Shaped Coils for Deep-Brain Magnetic Stimulation

    May 26, 2026

    Parking Brake Operation Stroke Reduction with Lever Design

    May 26, 2026

    Metamaterial Design for Directed Energy Protection

    May 26, 2026

    Memristive NDR Device for Adaptive Oscillator Circuits

    May 26, 2026

    Side Air Bag Design for Even Inflation and Safety

    May 26, 2026

    Comments are closed.

    Start Free Trial Today!

    Get instant, smart ideas, solutions and spark creativity with Patsnap Eureka AI. Generate professional answers in a few seconds.

    ⚡️ Generate Ideas →
    Table of Contents
    • Accurate Saturation Detection for Current Transformers
      • Summary
      • TRIZ Analysis
      • Data Source
      • Accelerate from idea to impact
    About Us
    About Us

    Eureka harnesses unparalleled innovation data and effortlessly delivers breakthrough ideas for your toughest technical challenges. Eliminate complexity, achieve more.

    Facebook YouTube LinkedIn
    Latest Hotspot

    US20120251581A1 — Cyclophilin A and HCV Replicon Activity Dataset: Structure–Activity Relationship (SAR) and Biological Activity Analysis

    June 3, 2026

    Vehicle-to-Grid For EVs: Battery Degradation, Grid Value, and Control Architecture

    May 12, 2026

    TIGIT Target Global Competitive Landscape Report 2026

    May 11, 2026
    tech newsletter

    35 Breakthroughs in Magnetic Resonance Imaging – Product Components

    July 1, 2024

    27 Breakthroughs in Magnetic Resonance Imaging – Categories

    July 1, 2024

    40+ Breakthroughs in Magnetic Resonance Imaging – Typical Technologies

    July 1, 2024
    © 2026 Patsnap Eureka. Powered by Patsnap Eureka.

    Type above and press Enter to search. Press Esc to cancel.