Abstract: A method for maintenance of a machine among a fleet of machines includes receiving a service request corresponding to the machine. The method also includes obtaining a service architecture corresponding to the fleet of machines. The service architecture includes a service dictionary and a plurality of classification schemes organized in a tree data structure. The method also includes processing the service request based on the service dictionary and a text parsing technique to generate a list of descriptive words. The method includes generating a recommendation based on the list of descriptive words and the service architecture. The recommendation includes at least one of an on-line repair activity, an on-site repair activity and a part replacement activity. The method also includes servicing the fault condition of the machine based on the recommendation.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: The present disclosure provides methods and systems for providing person re-identification and tracking. The system may track a person at a location across multiple cameras in real time, while maintaining identification of the person through their visit. The person may not be personally identified; however, the person's presence in video frames captured by different cameras may be linked together. The linked frames may be evaluated by one or more analytics applications. For example, an analytics application may determine a trajectory of a person through a location and plot an overlay of that person's trip through the location on the map. This information may be used, for example, to optimize store layout, asset protection purposes, for counting a number of people at the location at a given time (e.g., for understanding busy hours of the location), determining whether social distancing or other health and/or safety measures may be in compliance, etc.

Abstract: According to some embodiments, a system and method are provided comprising a vegetation management module to receive image data from an image source; a memory for storing program instructions; a vegetation management processor, coupled to the memory, and in communication with the vegetation module, and operative to execute program instructions to: receive first image data and second image data for an area of interest; overlay the first image data over the second image data to generate an overlaid image; receive feeder attribute data for at least one feeder in the overlaid image; generate a risk score for the at least one feeder based in part on the received feeder attribute data; and generate a visualization based on the at least one feeder and the generated risk score. Numerous other aspects are provided.

Abstract: A method of making a stator for a rotating electrical machine in which a tooth segment from a high saturation induction material and a yoke segment from a silicon steel material. The tooth segment is bond to yoke segment, thereby producing a stator with at least two magnetic saturations.

Abstract: A method for controlling a wind turbine includes detecting, via a controller, a plurality of analytic outputs of the wind turbine from a plurality of different analytics. The method also includes analyzing, via the controller, the plurality of analytic outputs of the wind turbine. Further, the method includes generating, via the controller, at least one computer-based model of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training, via the controller, the at least one computer-based model of the wind turbine using annotated analytic outputs of the wind turbine. As such, the method includes checking the plurality of analytic outputs for anomalies using the at least one computer-based model. Accordingly, the method includes implementing a control action when at least one anomaly is detected.

Abstract: A computer-implemented system for optimizing cost of goods sold is configured to: receive supplier configuration data of a supplier associated with the at least one product, supplier configuration data being extracted from an agreement defining parameters associated with one or more tiers; receive an order history associated with the supplier; determine a current tier and current progress within the current tier based on the order history, the current tier being specified by the supplier configuration data; determine an additional quantity necessary to reach a next tier according to the supplier configuration data; determine one or more trade-off parameters affected by the additional quantity, the one or more trade-off parameters being determined by a computerized model simulating future customer demand; and transmit a request to initiate a new order for the additional quantity based on the one or more trade-off parameters.

Abstract: Disclosed embodiments provide systems and methods for electronically determining a real-time registration. A method for electronically determining a real-time registration comprises receiving, from a user device, a request to register an item in a retail system and data associated with the item, determining a registration guarantee decision for the item, the registration decision specifying whether the item is or is not guaranteed, and registering the item in the retail system based on the determined registration guarantee decision. The method further comprises building a response for the determined registration guarantee decision and transmitting the response for the registration guarantee decision to a computing device associated with the retail system, wherein the registration guarantee decision comprises performing a comparison of attributes in the received data and attributes associated with items stored in the retail system to determine duplicate or similar items.

Abstract: Disclosed embodiments provide computer-implemented systems and methods for determining a gap to meet a goal for use with a user interface. A method for determining a gap logistics comprises receiving, from a user device, a input, a target, and a request to determine a gap to determine the target based on the input for a set of groups, capturing sales data, price data, and funding data associated with the set of groups from a system, and determining the gap by applying the received input, the received target, the captured sales data, the captured price data, and the received funding data to a predefined formula. The method further comprises providing the determined gap to the user device and transmitting, from the user device, a request to provide a fund to close the determined gap to a computing device of an entity associated with the set of groups.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: According to some embodiments, a system and method are provided comprising a vegetation management module to receive image data from an image source; a memory for storing program instructions; a vegetation management processor, coupled to the memory, and in communication with the vegetation module, and operative to execute program instructions to: receive first image data and second image data for an area of interest; overlay the first image data over the second image data to generate an overlaid image; receive feeder attribute data for at least one feeder in the overlaid image; generate a risk score for the at least one feeder based in part on the received feeder attribute data; and generate a visualization based on the at least one feeder and the generated risk score. Numerous other aspects are provided.

Abstract: A method for maintenance of a machine among a fleet of machines includes receiving a service request corresponding to the machine. The method further includes obtaining a service architecture corresponding to the fleet of machines. The service architecture includes a service dictionary and a plurality of classification schemes organized in a tree data structure. The method also includes processing the service request based on the service dictionary and a text parsing technique to generate a list of descriptive words. The method includes generating a recommendation based on the list of descriptive words and the service architecture. The recommendation includes at least one of an on-line repair activity, an on-site repair activity and a part replacement activity. The method also includes servicing the fault condition of the machine based on the recommendation.

Abstract: The example embodiments are directed to a system and method which can identify a plurality of labels from free-form text included in a corpus of repair actions. The system and method can further label each repair action with a label from the determined plurality of labels. In one example, the method may include storing a plurality of repair action entries which each comprise unstructured free-form text associated with actions performed, generating a term matrix comprises a list of words extracted from the plurality of repair action entries and mapped to the plurality of repair action entries based on frequency of use within free-form text thereof, determining a plurality of labels for categorizing the actions performed via execution of a non-negative matrix factorization based on the created term matrix, and outputting information about the determined plurality of labels for display via a user interface.

Abstract: A method of making a stator for a rotating electrical machine in which a tooth segment from a high saturation induction material and a yoke segment from a silicon steel material. The tooth segment is bond to yoke segment, thereby producing a stator with at least two magnetic saturations.

Abstract: A method and an electronic device are provided for generating a still image from a video file. The electronic device includes an image sensor, a display, and a controller configured to generate a video file from an image signal input through the image sensor, assign frame characteristics to each frame included in the video file, selectively display at least one of the frames on the display, receive a selection of a frame among the displayed at least one of the frames, and generate a still image from the selected frame.

Abstract: A rail vehicle wheel flat warning system comprising a first sensor, a second sensor and a controller. The first sensor may be located adjacent to a first side of a rail to provide data associated with a rail vehicle wheel passing over the first side of the rail. The second sensor may be located adjacent to the first side of the rail to provide data associated with the rail vehicle wheel passing over the first side of the rail. Furthermore, the controller may be in communication with the first sensor and the second sensor to receive data from the first sensor and the second sensor. The controller may determine a potential wheel deformity based on the data received from the first sensor and the second sensor.

Abstract: A rail vehicle wheel flat warning system comprising a first sensor, a second sensor and a controller. The first sensor may be located adjacent to a first side of a rail to provide data associated with a rail vehicle wheel passing over the first side of the rail. The second sensor may be located adjacent to the first side of the rail to provide data associated with the rail vehicle wheel passing over the first side of the rail. Furthermore, the controller may be in communication with the first sensor and the second sensor to receive data from the first sensor and the second sensor. The controller may determine a potential wheel deformity based on the data received from the first sensor and the second sensor.

Abstract: A system includes plural, different sensors configured to be operably connected to a first vehicle. The sensors obtain status data indicative of a state of a cooling system of the first vehicle. The system includes a digital twin system having processors configured to modify the status data having sampling rates or resolutions that differ such that the status data that is modified has a common sampling rate resolution as that of other data. The processors create a digital twin matrix of the status data. The digital twin matrix is indicative of the state of the cooling system. The processors also determine a health score of the cooling system or simulate operation of the cooling system based on the digital twin matrix. The digital twin system is configured to change or control actual operation of the cooling system based on the health score or the operation that is simulated.

Abstract: Aspects of the present disclosure involve a system and a method for predicting locomotive engine bearing failures (e.g., main bearing failures). In example embodiments, the method may access locomotive data about a particular locomotive engine, and generate a set of element concentration trajectories therefrom. Each element concentration trajectory includes a measure of element concentrations in the locomotive engine's oil over a period of time. The method further includes determining a health score of the locomotive engine based on a comparison of the set of element concentrations with a set of baseline element concentration trajectories that are representative of element concentrations of a group of locomotive engines' oil over the period of time. The health score provides a measure of the likelihood of bearing failure in the particular locomotive engine. A message regarding the likelihood of bearing failure may then be provided.