Patents by Inventor Joydeb Mukherjee
Joydeb Mukherjee 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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Patent number: 11397761Abstract: A mobile device including: a position locator; a user data engine; and a reputation engine client configured to: receive a location from the position locator; operate the user data engine to provide a user profile, intent, and context data for a user, the context data including dynamic factors about the user, and the profile including relative factors about the user that are relatively static with respect to the context data from the user data engine; and determine a reputation for the location, wherein the reputation is based at least in part on a combination of the user profile, intent, and context.Type: GrantFiled: October 2, 2017Date of Patent: July 26, 2022Assignee: McAfee, LLCInventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan
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Patent number: 9886478Abstract: An aircraft service information handling system comprises an input module operable to collect field service narrative data. A natural language data extraction module extracts problem data and related solution data from the narrative data, and a database module populates an aircraft service information database with the extracted problem data and the related extracted solution data. The database module further searches the database for populated problem data, and retrieves the related populated solution data.Type: GrantFiled: May 24, 2011Date of Patent: February 6, 2018Assignee: HONEYWELL INTERNATIONAL INC.Inventor: Joydeb Mukherjee
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Publication number: 20180025030Abstract: A mobile device including: a position locator; a user data engine; and a reputation engine client configured to: receive a location from the position locator; operate the user data engine to provide a user profile, intent, and context data for a user, the context data including dynamic factors about the user, and the profile including relative factors about the user that are relatively static with respect to the context data from the user data engine; and determine a reputation for the location, wherein the reputation is based at least in part on a combination of the user profile, intent, and context.Type: ApplicationFiled: October 2, 2017Publication date: January 25, 2018Applicant: McAfee, Inc.Inventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan
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Patent number: 9817843Abstract: In an example, one or more computing devices operate to provide a context-aware reputation of a place, such as in relation to a human user. Context may include the user's identity and purpose, as well as environmental factors such as time of day, weather, and political drivers. The device may communicate with a server to receive globalized safety intelligence. When the user enters a zone, the device may determine a context-sensitive reputation, such as “Green,” “Yellow,” or “Red.” Depending on the reputation, the device may then take an appropriate action, such as warning the user or providing additional information.Type: GrantFiled: September 26, 2014Date of Patent: November 14, 2017Assignee: McAfee, Inc.Inventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan
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Patent number: 9618037Abstract: A method includes receiving an input signal containing information associated with a rolling element bearing and/or a piece of equipment containing the rolling element bearing. The method also includes decomposing the input signal into a frequency-domain signal and determining at least one family of frequencies corresponding to at least one failure mode of the rolling element bearing. The method further includes generating a reconstructed input signal using the at least one family of frequencies and the frequency-domain signal. In addition, the method includes determining, using the reconstructed input signal, an indicator identifying an overall health of the rolling element bearing. The indicator could be determined using a baseline signal associated with either (i) normal operation of the rolling element bearing and/or the piece of equipment or (ii) defective operation of the rolling element bearing and/or the piece of equipment (where a severity of the defective operation will increase over time).Type: GrantFiled: July 15, 2009Date of Patent: April 11, 2017Assignee: HONEYWELL INTERNATIONAL INC.Inventors: Chinmaya Kar, Rajat Sadana, Venkataramana B. Kini, Meenakshi Sunderam, Joydeb Mukherjee, Vedika Agrawal
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Publication number: 20160092469Abstract: In an example, one or more computing devices operate to provide a context-aware reputation of a place, such as in relation to a human user. Context may include the user's identity and purpose, as well as environmental factors such as time of day, weather, and political drivers. The device may communicate with a server to receive globalized safety intelligence. When the user enters a zone, the device may determine a context-sensitive reputation, such as “Green,” “Yellow,” or “Red.” Depending on the reputation, the device may then take an appropriate action, such as warning the user or providing additional information.Type: ApplicationFiled: September 26, 2014Publication date: March 31, 2016Applicant: McAfee, Inc.Inventors: Joydeb Mukherjee, Saravana Kumar Subramanian, Raj Vardhan, Rangaswamy Narayana, Shankar Subramanian, Dattatraya Kulkarni, Javed Hasan
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Patent number: 8963733Abstract: A system includes more sensors configured to measure one or more characteristics of rotating equipment and a blind fault detection device. The blind fault detection device includes an input interface configured to receive at least one input signal from the one or more sensors. The blind fault detection device also includes a processing unit configured to identify a fault in the rotating equipment using the at least one input signal. The blind fault detection device further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by determining at least one family of frequencies related to at least one sensor point, determining an average energy for the at least one sensor point based on the at least one family of frequencies, and comparing the average energy to a baseline value.Type: GrantFiled: February 13, 2012Date of Patent: February 24, 2015Assignee: Honeywell International Inc.Inventors: Chinmaya Kar, Rajat Sadana, Joydeb Mukherjee
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Patent number: 8620519Abstract: An improved fault detection system and method is provided. The fault detection system and method combines the use of discrimination and representation based feature extraction to reliably detect symptoms of faults in turbine engines. Specifically, the fault detection system and method uses a kernel-based Maximum Representation Discrimination Features (MRDF) technique to detect symptoms of fault in turbine engines. The kernel-based MRDF system and method combines the use of discriminatory features and representation features in historical sensor data to facilitate feature extraction and classification of new sensor data as indicative fault in the turbine engine. Furthermore, the kernel-based MRDF technique facilitates the uncovering of nonlinear features in the sensor data, thus improving the reliability of the fault detection.Type: GrantFiled: August 10, 2005Date of Patent: December 31, 2013Assignee: Honeywell International Inc.Inventors: Joydeb Mukherjee, Venkataramana B. Kini, Sunil K. Menon
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Publication number: 20130207810Abstract: A system includes more sensors configured to measure one or more characteristics of rotating equipment and a blind fault detection device. The blind fault detection device includes an input interface configured to receive at least one input signal from the one or more sensors. The blind fault detection device also includes a processing unit configured to identify a fault in the rotating equipment using the at least one input signal. The blind fault detection device further includes an output interface configured to provide an indicator identifying the fault. The processing unit is configured to identify the fault by determining at least one family of frequencies related to at least one sensor point, determining an average energy for the at least one sensor point based on the at least one family of frequencies, and comparing the average energy to a baseline value.Type: ApplicationFiled: February 13, 2012Publication date: August 15, 2013Applicant: Honeywell International Inc.Inventors: Chinmaya Kar, Rajat Sadana, Joydeb Mukherjee
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Publication number: 20110257839Abstract: An aircraft service information handling system comprises an input module operable to collect field service narrative data. A natural language data extraction module extracts problem data and related solution data from the narrative data, and a database module populates an aircraft service information database with the extracted problem data and the related extracted solution data. The database module further searches the database for populated problem data, and retrieves the related populated solution data.Type: ApplicationFiled: May 24, 2011Publication date: October 20, 2011Applicant: HONEYWELL INTERNATIONAL INC.Inventor: Joydeb Mukherjee
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Patent number: 7991580Abstract: A method for benchmarking diagnostic algorithms for a particular application is provided. The diagnostic algorithms are rank ordered based on a specified criterion so as to weed out weak algorithms, selecting more robust algorithms, defined in some sense, for deployment. This is realized by evaluating various parameters subsequently mentioned. A normalized product entropy ratio parameter is obtained. A performance parameter vector is fixed to define a plurality of sensitivity parameters including a plurality of threshold parameters and a plurality of data parameters. The plurality of threshold parameters and the plurality of data parameters are perturbed to obtain a threshold sensitivity parameter and a data sensitivity parameter.Type: GrantFiled: April 16, 2008Date of Patent: August 2, 2011Assignee: Honeywell International Inc.Inventors: Lokesh Sambasivan, Joydeb Mukherjee, Dinkar Mylaraswamy
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Patent number: 7949444Abstract: An aircraft service information handling system comprises an input module operable to collect field service narrative data. A natural language data extraction module extracts problem data and related solution data from the narrative data, and a database module populates an aircraft service information database with the extracted problem data and the related extracted solution data. The database module further searches the database for populated problem data, and retrieves the related populated solution data.Type: GrantFiled: October 7, 2005Date of Patent: May 24, 2011Assignee: Honeywell International Inc.Inventor: Joydeb Mukherjee
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Patent number: 7660774Abstract: A system and method for fault detection is provided. The fault detection system provides the ability to detect symptoms of fault in turbine engines and other mechanical systems that have nonlinear relationships. The fault detection system uses a neural network to perform a data representation and feature extraction where the extracted features are analogous to principal components derived in a principal component analysis. This neural network data representation analysis can then be used to determine the likelihood of a fault in the system.Type: GrantFiled: June 24, 2005Date of Patent: February 9, 2010Assignee: Honeywell International Inc.Inventors: Joydeb Mukherjee, Sunil Menon, Venkataramana B. Kini, Dinkar Mylaraswamy
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Publication number: 20100030492Abstract: A method includes receiving an input signal containing information associated with a rolling element bearing and/or a piece of equipment containing the rolling element bearing. The method also includes decomposing the input signal into a frequency-domain signal and determining at least one family of frequencies corresponding to at least one failure mode of the rolling element bearing. The method further includes generating a reconstructed input signal using the at least one family of frequencies and the frequency-domain signal. In addition, the method includes determining, using the reconstructed input signal, an indicator identifying an overall health of the rolling element bearing. The indicator could be determined using a baseline signal associated with either (i) normal operation of the rolling element bearing and/or the piece of equipment or (ii) defective operation of the rolling element bearing and/or the piece of equipment (where a severity of the defective operation will increase over time).Type: ApplicationFiled: July 15, 2009Publication date: February 4, 2010Applicant: Honeywell International Inc.Inventors: Chinmaya Kar, Rajat Sadana, Venkataramana B. Kini, Meenakshi Suderam, Joydeb Mukherjee, Vedika Agrawal
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Publication number: 20090265134Abstract: A method for benchmarking diagnostic algorithms for a particular application is provided. The diagnostic algorithms are rank ordered based on a specified criterion so as to weed out weak algorithms, selecting more robust algorithms, defined in some sense, for deployment. This is realized by evaluating various parameters subsequently mentioned. A normalized product entropy ratio parameter is obtained. A performance parameter vector is fixed to define a plurality of sensitivity parameters including a plurality of threshold parameters and a plurality of data parameters. The plurality of threshold parameters and the plurality of data parameters are perturbed to obtain a threshold sensitivity parameter and a data sensitivity parameter.Type: ApplicationFiled: April 16, 2008Publication date: October 22, 2009Applicant: Honeywell International Inc.,Inventors: Lokesh Sambasivan, Joydeb Mukherjee, Dinkar Mylaraswamy
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Publication number: 20070288409Abstract: A system and method for fault detection is provided. The fault detection system provides the ability to detect symptoms of fault in turbine engines and other mechanical systems that have nonlinear relationships. The fault detection system uses a neural network to perform a data representation and feature extraction where the extracted features are analogous to principal components derived in a principal component analysis. This neural network data representation analysis can then be used to determine the likelihood of a fault in the system.Type: ApplicationFiled: June 24, 2005Publication date: December 13, 2007Inventors: Joydeb Mukherjee, Sunil Menon, Venkataramana Kini, Dinkar Mylaraswamy
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Patent number: 7233932Abstract: A system and method for fault detection is provided. The fault detection system provides the ability to detect symptoms of fault in turbine engines and other mechanical systems that have nonlinear relationships between two or more variables. The fault detection system uses a neural network to perform feature extraction from data for representation of faulty or normal conditions. The values of extracted features, referred to herein as scores, are then used to determine the likelihood of fault in the system. Specifically, the lower order scores, referred to herein as “approximate null space” scores can be classified into one or more clusters, where some clusters represent types of faults in the turbine engine. Classification based on the approximate null space scores provides the ability to classify faulty or nominal conditions that could not be reliably classified using higher order scores.Type: GrantFiled: February 23, 2006Date of Patent: June 19, 2007Assignee: Honeywell International, Inc.Inventors: Joydeb Mukherjee, Venkataramana B. Kini, Sunil K. Menon, Dinkar Mylaraswamy
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Publication number: 20070005528Abstract: A system and method for fault detection is provided. The fault detection system provides the ability to detect symptoms of fault in turbine engines and other mechanical systems that have nonlinear relationships between two or more variables. The fault detection system uses a neural network to perform feature extraction from data for representation of faulty or normal conditions. The values of extracted features, referred to herein as scores, are then used to determine the likelihood of fault in the system. Specifically, the lower order scores, referred to herein as “approximate null space” scores can be classified into one or more clusters, where some clusters represent types of faults in the turbine engine. Classification based on the approximate null space scores provides the ability to classify faulty or nominal conditions that could not be reliably classified using higher order scores.Type: ApplicationFiled: February 23, 2006Publication date: January 4, 2007Inventors: Joydeb Mukherjee, Venkataramana Kini, Sunil Menon, Dinkar Mylaraswamy
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Publication number: 20060235599Abstract: An improved fault detection system and method is provided. The fault detection system and method combines the use of discrimination and representation based feature extraction to reliably detect symptoms of faults in turbine engines. Specifically, the fault detection system and method uses a kernel-based Maximum Representation Discrimination Features (MRDF) technique to detect symptoms of fault in turbine engines. The kernel-based MRDF system and method combines the use of discriminatory features and representation features in historical sensor data to facilitate feature extraction and classification of new sensor data as indicative fault in the turbine engine. Furthermore, the kernel-based MRDF technique facilitates the uncovering of nonlinear features in the sensor data, thus improving the reliability of the fault detection.Type: ApplicationFiled: August 11, 2005Publication date: October 19, 2006Inventors: Joydeb Mukherjee, Venkataramana Kini, Sunil Menon