Load Fault Isolation Using Power Data in Electrical Circuits

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Solution Overview

Problem

Traditional circuit breaker systems face challenges in identifying fault causes as faults can occur anywhere downstream, requiring manual iterative testing of loads and connections, which is inefficient.

Innovation Solution

An electrical power system with a load fault module that uses load information and power data to determine faulty loads by successively shutting down or turning on controllable loads while maintaining power, and employing machine learning to diagnose faults, with the option to output instructions to a user interface for manual control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual iterative testing of loads and connections is used to find faults, then the fault identification process can be completed, but the process is inefficient and time-consuming

Engineering Contradiction:
Improvefault identification efficiencyVSAvoidtime for manual testing
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system enables automatic fault identification through the load fault module that autonomously determines faulty loads by analyzing load information and power data, eliminating the need for manual iterative testing and significantly improving fault identification efficiency

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical testing processes with automated electronic analysis. The load fault module uses electronic data processing and machine learning algorithms to identify faults, substituting the manual physical testing approach with an automated computational system

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If all loads are tested to identify the faulty one, then accurate fault identification can be achieved, but the complexity of the process increases

Engineering Contradiction:
Improvefault detection accuracyVSAvoidcomplexity of fault identification process
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The load fault module extracts and analyzes specific load information and power data from the electrical circuit to identify faulty loads. By focusing on relevant data parameters rather than testing all loads comprehensively, the system achieves accurate fault identification while reducing process complexity

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The load fault module acts as an intermediary between the circuit breaker and the loads. It receives fault indications from the circuit breaker and automatically determines the faulty load by analyzing power data, serving as an automated mediator that simplifies the fault identification process while maintaining high accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

3Extent of automation

If conventional circuit breaker systems are used, then the system structure remains simple, but the ability to automatically identify faults is lost

Engineering Contradiction:
Improveautomatic fault identification capabilityVSAvoidsystem structure complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The load fault module integrates multiple functions into a single device: it receives fault indications from the circuit breaker, analyzes load information and power data, determines faulty loads, and provides control signals. This multi-functionality enables automatic fault identification while consolidating system complexity into a dedicated module

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20230297048A1Electrical power systems and methods
Publication Date: 2023.09.21 SCHNEIDER ELECTRIC USA INC
  • US20230297048A1 patent drawing
  • US20230297048A1 patent drawing

AI summary

An electrical power system can include a load fault module configured to determine a faulty load of a plurality of loads on an electrical circuit by using load information and/or load power data to output a faulty load indication and/or load control.