Patents by Inventor Marco Diciolla
Marco Diciolla 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).
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Publication number: 20220414505Abstract: Systems, methods, non-transitory computer readable media can be configured to access a plurality of sensor logs corresponding to a first machine, each sensor log spanning at least a first period; access first computer readable logs corresponding to the first machine, each computer readable log spanning at least the first period, the computer readable logs comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determine a set of statistical metrics derived from the sensor logs; determine a set of log metrics derived from the computer readable logs; and determine, using a risk model that receives the statistical metrics and log metrics as inputs, fault probabilities or risk scores indicative of one or more fault types occurring in the first machine within a second period.Type: ApplicationFiled: August 19, 2022Publication date: December 29, 2022Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Joanna Peller, Jennifer Yip, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Patent number: 11455560Abstract: Systems, methods, non-transitory computer readable media can be configured to access a plurality of sensor logs corresponding to a first machine, each sensor log spanning at least a first period; access first computer readable logs corresponding to the first machine, each computer readable log spanning at least the first period, the computer readable logs comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determine a set of statistical metrics derived from the sensor logs; determine a set of log metrics derived from the computer readable logs; and determine, using a risk model that receives the statistical metrics and log metrics as inputs, fault probabilities or risk scores indicative of one or more fault types occurring in the first machine within a second period.Type: GrantFiled: May 23, 2019Date of Patent: September 27, 2022Assignee: Palantir Technologies Inc.Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Joanna Peller, Jennifer Yip, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Patent number: 10996665Abstract: Systems, methods, non-transitory computer readable media can be configured to accessing a target sensor log corresponding to a first machine; accessing one or more prior sensor logs corresponding to the first machine and one or more prior sensor logs corresponding to a plurality of second machines which are of the same type as the first machine; accessing a plurality of computer readable logs corresponding to the first machine and the second machines, the computer readable logs for each second machine comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determining a set of statistical metrics characterising a difference between the target sensor log and each prior sensor log; selecting a sub-set of the prior sensor logs in dependence upon the statistical metrics; analysing the maintenance logs to correlate each prior sensor log included in the subset to one or more correlated maintenance tasks; selecting aType: GrantFiled: May 21, 2020Date of Patent: May 4, 2021Assignee: Palantir Technologies Inc.Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Jennifer Yip, Joanna Peller, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Publication number: 20200285227Abstract: Systems, methods, non-transitory computer readable media can be configured to accessing a target sensor log corresponding to a first machine; accessing one or more prior sensor logs corresponding to the first machine and one or more prior sensor logs corresponding to a plurality of second machines which are of the same type as the first machine; accessing a plurality of computer readable logs corresponding to the first machine and the second machines, the computer readable logs for each second machine comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determining a set of statistical metrics characterising a difference between the target sensor log and each prior sensor log; selecting a sub-set of the prior sensor logs in dependence upon the statistical metrics; analysing the maintenance logs to correlate each prior sensor log included in the subset to one or more correlated maintenance tasks; selecting aType: ApplicationFiled: May 21, 2020Publication date: September 10, 2020Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Jennifer Yip, Joanna Peller, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Patent number: 10663961Abstract: Systems, methods, non-transitory computer readable media can be configured to accessing a target sensor log corresponding to a first machine; accessing one or more prior sensor logs corresponding to the first machine and one or more prior sensor logs corresponding to a plurality of second machines which are of the same type as the first machine; accessing a plurality of computer readable logs corresponding to the first machine and the second machines, the computer readable logs for each second machine comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determining a set of statistical metrics characterising a difference between the target sensor log and each prior sensor log; selecting a sub-set of the prior sensor logs in dependence upon the statistical metrics; analysing the maintenance logs to correlate each prior sensor log included in the subset to one or more correlated maintenance tasks; selecting aType: GrantFiled: December 12, 2017Date of Patent: May 26, 2020Assignee: Palantir Technologies Inc.Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Jennifer Yip, Joanna Peller, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Publication number: 20190287014Abstract: Systems, methods, non-transitory computer readable media can be configured to access a plurality of sensor logs corresponding to a first machine, each sensor log spanning at least a first period; access first computer readable logs corresponding to the first machine, each computer readable log spanning at least the first period, the computer readable logs comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determine a set of statistical metrics derived from the sensor logs; determine a set of log metrics derived from the computer readable logs; and determine, using a risk model that receives the statistical metrics and log metrics as inputs, fault probabilities or risk scores indicative of one or more fault types occurring in the first machine within a second period.Type: ApplicationFiled: May 23, 2019Publication date: September 19, 2019Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Joanna Peller, Jennifer Yip, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Patent number: 10354196Abstract: Systems, methods, non-transitory computer readable media can be configured to access a plurality of sensor logs corresponding to a first machine, each sensor log spanning at least a first period. Access first computer readable logs corresponding to the first machine, each computer readable log spanning at least the first period, the computer readable logs comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type. Determine a set of statistical metrics derived from the sensor logs; determine a set of log metrics derived from the computer readable logs. Determine, using a risk model that receives the statistical metrics and log metrics as inputs, fault probabilities or risk scores indicative of one or more fault types occurring in the first machine within a second period.Type: GrantFiled: December 14, 2017Date of Patent: July 16, 2019Assignee: Palantir Technologies Inc.Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Joanna Peller, Jennifer Yip, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Publication number: 20180173217Abstract: Systems, methods, non-transitory computer readable media can be configured to accessing a target sensor log corresponding to a first machine; accessing one or more prior sensor logs corresponding to the first machine and one or more prior sensor logs corresponding to a plurality of second machines which are of the same type as the first machine; accessing a plurality of computer readable logs corresponding to the first machine and the second machines, the computer readable logs for each second machine comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determining a set of statistical metrics characterising a difference between the target sensor log and each prior sensor log; selecting a sub-set of the prior sensor logs in dependence upon the statistical metrics; analysing the maintenance logs to correlate each prior sensor log included in the subset to one or more correlated maintenance tasks; selecting aType: ApplicationFiled: December 12, 2017Publication date: June 21, 2018Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Jennifer Yip, Joanna Peller, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell
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Publication number: 20180174067Abstract: Systems, methods, non-transitory computer readable media can be configured to access a plurality of sensor logs corresponding to a first machine, each sensor log spanning at least a first period; access first computer readable logs corresponding to the first machine, each computer readable log spanning at least the first period, the computer readable logs comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determine a set of statistical metrics derived from the sensor logs; determine a set of log metrics derived from the computer readable logs; and determine, using a risk model that receives the statistical metrics and log metrics as inputs, fault probabilities or risk scores indicative of one or more fault types occurring in the first machine within a second period.Type: ApplicationFiled: December 14, 2017Publication date: June 21, 2018Inventors: Ezra Spiro, Andre Frederico Cavalheiro Menck, Anshuman Prasad, Arthur Thouzeau, Caroline Henry, Charles Shepherd, Joanna Peller, Jennifer Yip, Marco Diciolla, Matthew Todd, Peter Maag, Spencer Tank, Thomas Powell