System for identification of loads in a residential branch of electrical circuit

1 . A system for identification of loads in a residential branch of an electrical circuit including a plurality of electrical outlets, the system comprising:

a residential power distribution panel comprising an electronic circuit breaker connected with the residential branch of the electrical circuit such that the residential branch of the electrical circuit has multiple connected loads to the plurality of electrical outlets, wherein the electronic circuit breaker may experience unwanted tripping in the residential branch of the electrical circuit,

a residential fault diagnostics tool connected to the residential branch of the electrical circuit via one of the outlets of the plurality of electrical outlets, wherein the residential fault diagnostics tool is configured to record, store, and experience electrical conditions which are also experienced by the electronic circuit breaker, and

a communicating device comprising a mobile device running a mobile application (APP) and providing a user interface to display relevant diagnostics information for an end user,

wherein the mobile device is configured to be in wireless communication with the residential fault diagnostics tool,

wherein the mobile application (APP) includes a classification analyzer for the identification of the loads such that a load that tripped is identified by running a classification analysis by the classification analyzer to derive a match of the load with a known load,

wherein the mobile device can be tailored to receive electrical signals and waveforms on demand when requested by the end user using the mobile device,

wherein a decision of the identification is provided on the mobile application (APP),

wherein the residential fault diagnostics tool and the mobile application (APP), when encountered with an unknown load, can be updated with a newer firmware or a newer mobile application, and

wherein the newer firmware or the newer mobile application (APP) are a result of a retrained neural network model or a machine learning model resulting from receiving information related to a troublesome load and signals/waveforms of the troublesome load.

2 . The system of claim 1 , wherein the residential fault diagnostics tool can provide a means to charge the mobile device during the duration of a troubleshooting exercise through a wired means.

3 . The system of claim 2 , wherein the residential fault diagnostics tool can alternately provide a means to charge the mobile device during the duration of the troubleshooting exercise through a wireless charging interface.

4 . A system for identification of loads in a residential branch of an electrical circuit including a plurality of electrical outlets, the system comprising:

a residential power distribution panel comprising an electronic circuit breaker connected with the residential branch of the electrical circuit such that the residential branch of the electrical circuit has multiple connected loads to the plurality of electrical outlets, wherein the electronic circuit breaker may experience unwanted tripping in the residential branch of the electrical circuit,

a residential fault diagnostics tool connected to the residential branch of the electrical circuit via one of the outlets of the plurality of electrical outlets, wherein the residential fault diagnostics tool is configured to record, store, and experience electrical conditions which are also experienced by the electronic circuit breaker, and

a communicating device comprising a mobile device running a mobile application (APP) and providing a user interface to display relevant diagnostics information for an end user,

wherein the mobile device is configured to be in wireless communication with the residential fault diagnostics tool,

wherein the residential fault diagnostics tool includes a classification analyzer for the identification of the loads such that a load that tripped is identified by running a classification analysis by the classification analyzer to derive a match of the load with a known load,

wherein the residential fault diagnostics tool can be tailored to receive electrical signals and waveforms on demand when requested by the end user using the mobile device,

wherein a decision of the identification is provided on the mobile application (APP),

wherein the residential fault diagnostics tool and the mobile application (APP), when encountered with an unknown load, can be updated with a newer firmware or a newer mobile application (APP), and

wherein the newer firmware or the newer mobile application (APP) are a result of a retrained neural network model or a machine learning model resulting from receiving information related to a troublesome load and signals/waveforms of the troublesome load.

5 . The system of claim 4 , wherein the residential fault diagnostics tool can provide a means to charge the mobile device during the duration of a troubleshooting exercise through a wired means.

6 . The system of claim 5 , wherein the residential fault diagnostics tool can alternately provide a means to charge the mobile device during the duration of the troubleshooting exercise through a wireless charging interface.

7 . A system for identification of loads in a residential branch of an electrical circuit including a plurality of electrical outlets, the system comprising:

a residential power distribution panel comprising an electronic circuit breaker connected with the residential branch of the electrical circuit such that the residential branch of the electrical circuit has multiple connected loads to the plurality of electrical outlets, wherein the electronic circuit breaker may experience unwanted tripping in the residential branch of electrical circuit,

a residential fault diagnostics tool connected to the residential branch of the electrical circuit via one of the outlets of the plurality of electrical outlets, wherein the residential fault diagnostics tool is configured to record, store, and experience electrical conditions which are also experienced by the electronic circuit breaker, and

a communicating device comprising a personal computer or a laptop device running an application (APP) and providing a user interface to display relevant diagnostics information for an end user,

wherein the communicating device is configured to be in wireless communication with the residential fault diagnostics tool,

wherein the personal computer or the laptop device includes a classification analyzer for the identification of the loads such that a load that tripped is identified by running a classification analysis by the classification analyzer to derive a match of the load with a known load,

wherein the personal computer or the laptop device can be tailored to receive electrical signals and waveforms on demand when requested by the end user using the communicating device,

wherein a decision of the identification is provided on the personal computer or the laptop device,

wherein the residential fault diagnostics tool and the application (APP), when encountered with an unknown load, can be updated with a newer firmware or a newer application (APP), and

wherein the newer firmware or the newer application (APP) are a result of a retrained neural network model or a machine learning model resulting from receiving information related to a troublesome load and signals/waveforms of the troublesome load.

8 . The system of claim 7 , wherein the residential fault diagnostics tool is configured to wirelessly connect to the personal computer or the laptop device.

9 . The system of claim 8 , wherein the classification analyzer of the personal computer or the laptop device analyzes signals using a neural networks model or a machine learning model.

10 . A system for identification of loads in a residential branch of an electrical circuit including a plurality of electrical outlets, the system comprising:

a residential power distribution panel comprising an electronic circuit breaker connected with the residential branch of the electrical circuit such that the residential branch of the electrical circuit has multiple connected loads to the plurality of electrical outlets, wherein the electronic circuit breaker may experience unwanted tripping in the residential branch of electrical circuit,

a residential fault diagnostics tool connected to the residential branch of the electrical circuit via one of the outlets of the plurality of electrical outlets, wherein the residential fault diagnostics tool is configured to record, store, and experience electrical conditions which are also experienced by the electronic circuit breaker, and

a communicating device comprising a mobile device running a mobile application (APP) and providing a user interface to display relevant diagnostics information for an end user,

wherein the mobile device is configured to be in communication with the residential fault diagnostics tool,

wherein the residential fault diagnostics tool is configured to wirelessly connect to a wireless router or a hot spot, and the residential fault diagnostics tool is configured to wirelessly connect to the mobile device,

wherein the residential fault diagnostics tool and the mobile application (APP) periodically communicate with a cloud interface or a cloud end point that includes a classification analyzer for the identification of the loads, such that a load that tripped is identified by running a classification analysis by the classification analyzer to derive a match of the load with a known load,

wherein the mobile device can be tailored to receive electrical signals and waveforms on demand when requested by the end user using the mobile device,

wherein a decision of the identification is provided on the mobile application (APP), and

wherein the residential fault diagnostics tool can provide a means to charge the mobile device during the duration of a troubleshooting exercise through a wired means.

11 . The system of claim 10 , wherein the residential fault diagnostics tool can alternately provide a means to charge the mobile device during the duration of the troubleshooting exercise through a wireless charging interface.

12 . The system of claim 10 , wherein the residential fault diagnostics tool and the mobile application (APP) when encountered with an unknown load can be updated with a newer firmware or a newer mobile application.

13 . The system of claim 12 , wherein the newer firmware or the newer mobile application (APP) are a result of a retrained neural network model or a machine learning model resulting from receiving information related to a troublesome load and signals/waveforms of the troublesome load.