Abstract: A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.

Abstract: A method for predicting equipment failure includes receiving parameter sample values associated with parameters of benchmark equipment and operational status information associated with the benchmark equipment. The parameter sample values and operational status information are periodically acquired. A model is generated for relating one or more of the parameters to benchmark equipment failure. For each parameter, a threshold value at which an output of the model indicates benchmark equipment failure is determined. Next, parameters of an equipment under test having parameter sample values that match the determined threshold values are determined. For each determined parameter, benchmark equipment having parameter sample values that match the parameter sample values of the equipment under test that match the determine threshold values are determined. Survivability data for the equipment under test is generated based on survivability data associated with the determined benchmark equipment.

Abstract: An AI-based asset maintenance system accesses a variety of data sources related to an entity to analyze data regarding one or more damage mechanisms corresponding to the entity thereby identifying and implementing corrective actions that mitigate the effects of the damage mechanisms within the entity. The accessed data is stored using a parameterized data model that represents the entity. A trained parameter model identifies the most significant operating parameters for a given component of the entity for the damage mechanism affecting the component. A projection model is used to perform ‘what-if’ analysis of the most significant operating parameters for determining the instances of minimum and maximum degradation due to the damage mechanism. Corrective actions for mitigating the degradation due to the damage mechanism can be determined based on analysis of the operating parameters and other attributes corresponding to the best and worst case degradation scenarios.

Abstract: A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.

Abstract: A magnetic resonance imaging (MRI) system is provided that is controlled by a computer. The computer is programmed to control a plurality of gradient coils and radio frequency (RF) system of the MRI system to perform at least one pulse sequence that includes applying RF energy at least at two frequencies to manipulate exchangeable magnetization from protons in a subject. The computer is also programmed to control the plurality of gradient coils and RF system to acquire imaging data including magnetization transfer information from the exchangeable magnetization from protons in the subject in response to the pulse sequence. The computer is further programmed to, using frequency information associated with the imaging data, generate a report pertaining to inhomogeneous magnetization transfer occurring in the subject in response to the pulse sequence.

Abstract: A system and methods for improved homogeneous and inhomegeneous magnetic transfer imaging are provided. In some aspects, a plurality of gradient coils and an RF system of a magnetic resonance imaging (“MRI”) system are controlled, using a computer, to perform, at least one pulse sequence that includes a preparation module followed by an imaging module, wherein the preparation module comprises a plurality of radio frequency (“RF”) saturation pulses applied according to a concentrated pulse cycle to manipulate exchangeable magnetization from protons in the subject, and the imaging module is configured to acquire image data. The computer is also configured to analyze the image data acquired to generate frequency information indicative of the exchangeable magnetization from protons in the subject, and generate a report, using the frequency information, pertaining to inhomogeneous or homogeneous magnetization transfer occurring in the subject.

Abstract: An AI-based asset maintenance system accesses a variety of data sources related to an entity to analyze data regarding one or more damage mechanisms corresponding to the entity thereby identifying and implementing corrective actions that mitigate the effects of the damage mechanisms within the entity. The accessed data is stored using a parameterized data model that represents the entity. A trained parameter model identifies the most significant operating parameters for a given component of the entity for the damage mechanism affecting the component. A projection model is used to perform ‘what-if’ analysis of the most significant operating parameters for determining the instances of minimum and maximum degradation due to the damage mechanism. Corrective actions for mitigating the degradation due to the damage mechanism can be determined based on analysis of the operating parameters and other attributes corresponding to the best and worst case degradation scenarios.

Abstract: A system and method for producing a report about a subject from data collected from the subject using a magnetic resonance imaging (MRI) system. The method includes directing the MRI system to perform a pulse sequence to manipulate exchangeable magnetization in the subject and acquiring, with the MRI system, imaging data from the subject in response to the pulse sequence. The method also includes analyzing the effects of the frequencies of applied RF energy on the imaging data to identify inhomogeneous lines formed by a summation of multiple sublines centered at multiple different frequencies. The method further includes generating a report pertaining to inhomogeneous magnetization transfer occurring in the subject in response to the pulse sequence.

Abstract: A system and method for producing a report about a subject from data collected from the subject using a magnetic resonance imaging (MRI] system. The method includes directing the MRI system to perform a pulse sequence to manipulate exchangeable magnetization in the subject and acquiring, with the MRI system, imaging data from the subject in response to the pulse sequence. The method also includes analyzing the effects of the frequencies of applied RF energy on the imaging data to identify inhomogeneous lines formed by a summation of multiple sublines centered at multiple different frequencies. The method further includes generating a report pertaining to inhomogeneous magnetization transfer occurring in the subject in response to the pulse sequence.

Abstract: A system and methods for improved homogeneous and inhomegeneous magnetic transfer imaging are provided. In some aspects, a plurality of gradient coils and an RF system of a magnetic resonance imaging (“MRI”) system are controlled, using a computer, to perform, at least one pulse sequence that includes a preparation module followed by an imaging module, wherein the preparation module comprises a plurality of radio frequency (“RF”) saturation pulses applied according to a concentrated pulse cycle to manipulate exchangeable magnetization from protons in the subject, and the imaging module is configured to acquire image data. The computer is also configured to analyze the image data acquired to generate frequency information indicative of the exchangeable magnetization from protons in the subject, and generate a report, using the frequency information, pertaining to inhomogeneous or homogeneous magnetization transfer occurring in the subject.

Abstract: A method for predicting equipment failure includes receiving parameter sample values associated with parameters of benchmark equipment and operational status information associated with the benchmark equipment. The parameter sample values and operational status information are periodically acquired. A model is generated for relating one or more of the parameters to benchmark equipment failure. For each parameter, a threshold value at which an output of the model indicates benchmark equipment failure is determined. Next, parameters of an equipment under test having parameter sample values that match the determined threshold values are determined. For each determined parameter, benchmark equipment having parameter sample values that match the parameter sample values of the equipment under test that match the determine threshold values are determined. Survivability data for the equipment under test is generated based on survivability data associated with the determined benchmark equipment.

Abstract: A system and method for producing a report about a subject from data collected from the subject using a magnetic resonance imaging (MRI] system. The method includes directing the MRI system to perform a pulse sequence to manipulate exchangeable magnetization in the subject and acquiring, with the MRI system, imaging data from the subject in response to the pulse sequence. The method also includes analyzing the effects of the frequencies of applied RF energy on the imaging data to identify inhomogeneous lines formed by a summation of multiple sublines centered at multiple different frequencies. The method further includes generating a report pertaining to inhomogeneous magnetization transfer occurring in the subject in response to the pulse sequence.