Patents by Inventor Dishant Mittal

Dishant Mittal 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).

  • Predictive diagnostics system with fault detector for preventative maintenance of connected equipment
    Patent number: 11835945
    Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: December 5, 2023
    Assignee: Johnson Controls Tyco IP Holdings LLP
    Inventors: Sumant S. Khalate, Tushar Shripad Joshi, Dishant Mittal
  • Predictive diagnostics system with fault detector for preventative maintenance of connected equipment
    Patent number: 11567490
    Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: January 31, 2023
    Assignee: Johnson Controls Tyco IP Holdings LLP
    Inventors: Sumant S. Khalate, Tushar Shripad Joshi, Dishant Mittal
  • PREDICTIVE DIAGNOSTICS SYSTEM WITH FAULT DETECTOR FOR PREVENTATIVE MAINTENANCE OF CONNECTED EQUIPMENT
    Publication number: 20210223768
    Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin
    Type: Application
    Filed: April 5, 2021
    Publication date: July 22, 2021
    Applicant: Johnson Controls Technology Company
    Inventors: Sumant S. Khalate, Tushar Shripad Joshi, Dishant Mittal
  • PREDICTIVE DIAGNOSTICS SYSTEM WITH FAULT DETECTOR FOR PREVENTATIVE MAINTENANCE OF CONNECTED EQUIPMENT
    Publication number: 20210223769
    Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin
    Type: Application
    Filed: April 5, 2021
    Publication date: July 22, 2021
    Applicant: Johnson Controls Technology Company
    Inventors: Sumant S. Khalate, Tushar Shripad Joshi, Dishant Mittal
  • Predictive diagnostics system with fault detector for preventative maintenance of connected equipment
    Patent number: 10969775
    Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin
    Type: Grant
    Filed: June 21, 2018
    Date of Patent: April 6, 2021
    Assignee: Johnson Controls Technology Company
    Inventors: Sumant S. Khalate, Tushar Shripad Joshi, Dishant Mittal
  • PREDICTIVE DIAGNOSTICS SYSTEM WITH FAULT DETECTOR FOR PREVENTATIVE MAINTENANCE OF CONNECTED EQUIPMENT
    Publication number: 20180373234
    Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin
    Type: Application
    Filed: June 21, 2018
    Publication date: December 27, 2018
    Applicant: Johnson Controls Technology Company
    Inventors: Sumant S. Khalate, Tushar Shripad Joshi, Dishant Mittal