Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.

Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.

Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.

Abstract: Methods and apparatus are disclosed for extracting maximal frequency response potential in controllable loads. In one example, a method includes assigning a fitness metric to at least one electrical device coupled to a power grid, assigning a frequency threshold based on the fitness metric, and transmitting the assigned frequency threshold to the at least one electrical device. The fitness metric can be based at least in part on an availability component and a quality component associated with the at least one device and the frequency threshold can cause the at least one electrical device to activate autonomously based on a frequency of the power grid.

Abstract: Systems and methods for the configuration of service policies for aircraft fleets and gas turbine engines are disclosed. One or more engine performance profiles may be generated based on historical engine performance data. The historical engine performance data may be retrieved based on one or more engine service parameters. A fleet performance profile may be generated based on the engine performance profiles. The engine service parameters may be varied to generate a configured engine performance profile. A configured fleet performance profile may be generated based on the configured engine performance profile.

Abstract: A system including a drive portion, and an external computing device in communication with the drive portion, wherein the external computing device is configured to receive operational data from the drive portion, determine operational parameters based at least in part on the operational data, determine whether the operational parameters are valid, and automatically transmit commands to the drive portion if the operational parameters are valid.

Abstract: Systems and methods for the configuration of service policies for aircraft fleets and gas turbine engines are disclosed. One or more engine performance profiles may be generated based on historical engine performance data. The historical engine performance data may be retrieved based on one or more engine service parameters. A fleet performance profile may be generated based on the engine performance profiles. The engine service parameters may be varied to generate a configured engine performance profile. A configured fleet performance profile may be generated based on the configured engine performance profile.

Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.

Abstract: A method and an apparatus for cold chain monitoring of perishable goods, including at least one environmental sensor to monitor at least one environmental parameter; at least one event detector to detect at least one of an environmental altering event and a user induced event; and a controller to receive and log a plurality of readings from the at least one environmental sensor at a selected sampling rate. Wherein the sampling rate adjusts depending on at least one of the perishable goods, the environmental altering event, and the user induced event.

Abstract: Methods and apparatus are disclosed for extracting maximal frequency response potential in controllable loads. In one example, a method includes assigning a fitness metric to at least one electrical device coupled to a power grid, assigning a frequency threshold based on the fitness metric, and transmitting the assigned frequency threshold to the at least one electrical device. The fitness metric can be based at least in part on an availability component and a quality component associated with the at least one device and the frequency threshold can cause the at least one electrical device to activate autonomously based on a frequency of the power grid.

Abstract: A system including a drive portion, and an external computing device in communication with the drive portion, wherein the external computing device is configured to receive operational data from the drive portion, determine operational parameters based at least in part on the operational data, determine whether the operational parameters are valid, and automatically transmit commands to the drive portion if the operational parameters are valid.