Abstract: A method predicting and avoiding faults that result in a shutdown of a wind turbine includes receiving operational data of the wind turbine. The method also includes predicting, via a predictive model, current or future behavior of the wind turbine using the operational data. Further, the method includes determining, via a fault detection model, whether the current or future behavior indicates an upcoming short- or long-term fault occurring in the wind turbine. Moreover, the method includes determining, via a prescriptive action model, a corrective action for the wind turbine based on whether the future behavior of the wind turbine indicates the upcoming short- or long-term fault occurring in the wind turbine. Thus, the method also includes implementing the corrective action during operation to prevent the upcoming short- or long-term fault from occurring.

Abstract: A system and method including, for each component of a system, defining filter flags that identify measurements that correspond to a particular operating condition of the respective component, the identified measurements being sensor measurements relevant to build a predictive model of expected output for each component of the system; defining input sensors for each of the components; defining at least one output sensor for each of the components; filtering data from the system based on the defined filter flags for each respective component; building, based on the defined input sensors for each respective component, a predictive model for the defined output sensor; determining a divergence between actual data values and expected values predicted by the model for each respective component; determining a component-specific anomaly score for each component of the system; and storing a record of the component-specific anomaly score for each component of the system.

Abstract: A system, medium, and method including receiving input data relating to an employee, the input data including a plurality of sentences of descriptive language regarding the employee's performance; processing the input data to determine sentences of refined textual data; determining a category for each of the sentences of the refined textual data from a plurality of categories, each of the plurality of categories being different from each other and relating to a particular type of performance evaluation characteristic; generating, based on the refined textual data and the determined category for the sentences of the refined textual data, a plurality of summary sentences reflective of the input data; and generating a summarization of the employee's performance, the summarization including an ordered listing of the plurality of summary sentences.

Abstract: In an example embodiment, biometric data and environmental data are obtained from sensors. Corporate information system (CIS) information is retrieved for a worker, with the CIS information including a schedule of tasks assigned to the worker. A task currently being performed by the worker is determined based on the schedule of tasks. Weights are assigned to the biometric data and the environmental data. The weights vary between data from different sensors, with the weights assigned based on the task currently being performed by the worker. A current safety score is assigned for the worker based on the calculation of a formula, with the formula using the assigned weights as coefficients to variables, with the variables being values obtained from the biometric data and the environmental data. The current safety score is compared to a safety threshold, and if the threshold is violated, an alert is generated to the worker.

Abstract: In an example embodiment, biometric data and environmental data are obtained from sensors. Corporate information system (CIS) information is retrieved for a worker, with the CIS information including a schedule of tasks assigned to the worker. A task currently being performed by the worker is determined based on the schedule of tasks. Weights are assigned to the biometric data and the environmental data. The weights vary between data from different sensors, with the weights assigned based on the task currently being performed by the worker. A current safety score is assigned for the worker based on the calculation of a formula, with the formula using the assigned weights as coefficients to variables, with the variables being values obtained from the biometric data and the environmental data. The current safety score is compared to a safety threshold, and if the threshold is violated, an alert is generated to the worker.

Abstract: In an example embodiment, biometric data and environmental data are obtained from sensors. Corporate information system (CIS) information is retrieved for a worker, with the CIS information including a schedule of tasks assigned to the worker. A task currently being performed by the worker is determined based on the schedule of tasks. Weights are assigned to the biometric data and the environmental data. The weights vary between data from different sensors, with the weights assigned based on the task currently being performed by the worker. A current safety score is assigned for the worker based on the calculation of a formula, with the formula using the assigned weights as coefficients to variables, with the variables being values obtained from the biometric data and the environmental data. The current safety score is compared to a safety threshold, and if the threshold is violated, an alert is generated to the worker.

Abstract: In an example embodiment, biometric data and environmental data are obtained from sensors. Corporate information system (CIS) information is retrieved for a worker, with the CIS information including a schedule of tasks assigned to the worker. A task currently being performed by the worker is determined based on the schedule of tasks. Weights are assigned to the biometric data and the environmental data. The weights vary between data from different sensors, with the weights assigned based on the task currently being performed by the worker. A current safety score is assigned for the worker based on the calculation of a formula, with the formula using the assigned weights as coefficients to variables, with the variables being values obtained from the biometric data and the environmental data. The current safety score is compared to a safety threshold, and if the threshold is violated, an alert is generated to the worker.