View source for 18233035. DETECTING POWER LINE CARRIER PRESENCE IN A BRANCH CIRCUIT AND IMPROVING AF DETECTION AND NUISANCE TRIPPING IN CAFI/DF BREAKER simplified abstract (Schneider Electric USA, Inc.)

=DETECTING POWER LINE CARRIER PRESENCE IN A BRANCH CIRCUIT AND IMPROVING AF DETECTION AND NUISANCE TRIPPING IN CAFI/DF BREAKER=


==Organization Name==

[[:Category:Schneider Electric USA, Inc.|Schneider Electric USA, Inc.]]


[[Category:Schneider Electric USA, Inc.]]

==Inventor(s)==

[[:Category:Andi Jakupi of Marion IA (US)|Andi Jakupi of Marion IA (US)]][[Category:Andi Jakupi of Marion IA (US)]]

==DETECTING POWER LINE CARRIER PRESENCE IN A BRANCH CIRCUIT AND IMPROVING AF DETECTION AND NUISANCE TRIPPING IN CAFI/DF BREAKER - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18233035 titled 'DETECTING POWER LINE CARRIER PRESENCE IN A BRANCH CIRCUIT AND IMPROVING AF DETECTION AND NUISANCE TRIPPING IN CAFI/DF BREAKER

==Simplified Explanation==
The patent application describes a method and system for detecting arc faults in a power distribution system by analyzing electrical activity signals on the circuit.

* Sampling the electrical activity signal on the circuit
* Computing segment properties for each sample segment
* Generating a pattern representing signal transitions over a sample period
* Determining the presence of an arc fault signal based on the generated pattern and predetermined patterns of PLC activity on the circuit

==Key Features and Innovation==
* Detection of arc faults in a power distribution system
* Analysis of electrical activity signals on the circuit
* Generation of patterns to identify signal transitions
* Utilization of segment properties for pattern generation

==Potential Applications==
The technology can be applied in various industries such as electrical distribution, manufacturing, and automation to enhance safety and prevent electrical fires caused by arc faults.

==Problems Solved==
The technology addresses the challenge of quickly and accurately detecting arc faults in power distribution systems, which can help prevent electrical fires and ensure the safety of the system.

==Benefits==
* Improved safety in power distribution systems
* Early detection of arc faults
* Prevention of electrical fires
* Enhanced reliability of the system

==Commercial Applications==
Title: Arc Fault Detection System for Power Distribution
This technology can be utilized by electrical companies, manufacturing plants, and automation facilities to enhance safety measures, reduce the risk of electrical fires, and ensure the efficient operation of power distribution systems.

==Prior Art==
Readers can explore prior research on arc fault detection systems in power distribution systems, electrical safety measures, and signal analysis techniques to gain a deeper understanding of the technology.

==Frequently Updated Research==
Researchers are continuously working on improving arc fault detection systems, enhancing signal analysis algorithms, and developing more advanced methods for preventing electrical fires in power distribution systems.

==Questions about Arc Fault Detection System for Power Distribution==
1. How does the technology differentiate between normal electrical activity and arc fault signals?
2. What are the potential challenges in implementing this system in large-scale power distribution networks?

==Another relevant generic question, with a detailed answer==
How does the arc fault detection system contribute to overall system reliability and safety? 
The arc fault detection system plays a crucial role in enhancing the reliability and safety of power distribution systems by quickly identifying potential hazards such as arc faults. By detecting these faults early, the system can take preventive measures to avoid electrical fires and ensure uninterrupted power supply.


==Original Abstract Submitted==

A method and system are provided to detect the presence of an arc fault signal on a circuit of a power distribution system. The method and system can involve: sampling a signal measuring electrical activity on the circuit, the sampled signal corresponding to a signal strength of the electrical activity on the circuit, the sampled signal comprising a plurality of sample segments; for each sample segment, computing segment properties including a signal-to-noise ratio and a root-mean-square; generating a pattern representing a presence of any signal transition over a signal sample period for the sampled signal according to the computed segment properties for each sample segment of the sampled signal; and determining a presence of an arc fault signal based on the generated pattern and predetermined pattern(s) of PLC activity on the circuit.



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