Patents by Inventor Scott Alan Neal, Jr.

Scott Alan Neal, Jr. has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • AUTOMATED POSITIVE TRAIN CONTROL EVENT DATA EXTRACTION AND ANALYSIS ENGINE FOR PERFORMING ROOT CAUSE ANALYSIS OF UNSTRUCTURED DATA
    Publication number: 20240127082
    Abstract: A system and method for performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can enable accurate detection of the enforcement event and identifies the root cause of such events using an automation workflow engine. The system can perform root cause analysis based on at least one analysis model. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data points characterizing the enforcement event, as well as analyze the data points to evaluate what is the root cause of the enforcement event.
    Type: Application
    Filed: December 20, 2023
    Publication date: April 18, 2024
    Applicant: BNSF Railway Company
    Inventors: Scott Alan Neal, JR., Siju Pallimolel Kuriakose
  • Automated positive train control event data extraction and analysis engine and method therefor
    Patent number: 11897527
    Abstract: A system and method for automating workflow and performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data characterizing the enforcement event, as well as analyze the data to evaluate what is the root cause of the enforcement event. The system can extract critical information from train system logs of the train using an extraction model to generate a window of activity providing an analysis model with a comprehensive scope to analyze the enforcement event. The system can give the user robust and accurate information of the root cause of the enforcement event.
    Type: Grant
    Filed: December 13, 2022
    Date of Patent: February 13, 2024
    Assignee: BNSF Railway Company
    Inventors: Scott Alan Neal, Jr., Siju Pallimolel Kuriakose
  • Automated positive train control event data extraction and analysis engine for performing root cause analysis of unstructured data
    Patent number: 11861509
    Abstract: A system and method for performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can enable accurate detection of the enforcement event and identifies the root cause of such events using an automation workflow engine. The system can perform root cause analysis based on at least one analysis model. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data points characterizing the enforcement event, as well as analyze the data points to evaluate what is the root cause of the enforcement event.
    Type: Grant
    Filed: April 14, 2022
    Date of Patent: January 2, 2024
    Assignee: BNSF Railway Company
    Inventors: Scott Alan Neal, Jr., Siju Pallimolel Kuriakose
  • AUTOMATED POSITIVE TRAIN CONTROL EVENT DATA EXTRACTION AND ANALYSIS ENGINE FOR PERFORMING ROOT CAUSE ANALYSIS OF UNSTRUCTURED DATA
    Publication number: 20230334340
    Abstract: A system and method for performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can enable accurate detection of the enforcement event and identifies the root cause of such events using an automation workflow engine. The system can perform root cause analysis based on at least one analysis model. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data points characterizing the enforcement event, as well as analyze the data points to evaluate what is the root cause of the enforcement event.
    Type: Application
    Filed: April 14, 2022
    Publication date: October 19, 2023
    Applicant: BNSF Railway Company
    Inventors: Scott Alan Neal, JR., Siju Pallimolel Kuriakose
  • AUTOMATED POSITIVE TRAIN CONTROL EVENT DATA EXTRACTION AND ANALYSIS ENGINE AND METHOD THEREFOR
    Publication number: 20230331266
    Abstract: A system and method for automating workflow and performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data characterizing the enforcement event, as well as analyze the data to evaluate what is the root cause of the enforcement event. The system can extract critical information from train system logs of the train using an extraction model to generate a window of activity providing an analysis model with a comprehensive scope to analyze the enforcement event. The system can give the user robust and accurate information of the root cause of the enforcement event.
    Type: Application
    Filed: December 13, 2022
    Publication date: October 19, 2023
    Applicant: BNSF Railway Company
    Inventors: Scott Alan Neal, JR., Siju Pallimolel Kuriakose
  • Automated positive train control event data extraction and analysis engine and method therefor
    Patent number: 11541919
    Abstract: A system and method for automating workflow and performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data characterizing the enforcement event, as well as analyze the data to evaluate what is the root cause of the enforcement event. The system can extract critical information from train system logs of the train using an extraction model to generate a window of activity providing an analysis model with a comprehensive scope to analyze the enforcement event. The system can give the user robust and accurate information of the root cause of the enforcement event.
    Type: Grant
    Filed: April 14, 2022
    Date of Patent: January 3, 2023
    Inventors: Scott Alan Neal, Jr., Siju Pallimolel Kuriakose