Abstract: Methods and apparatus for automatically extending aircraft wing flaps in response to detecting an excess energy steep descent condition are described. An example control system of an aircraft includes one or more processors. The one or more processors determine whether the aircraft is experiencing an excess energy steep descent (EESD) condition. In response to determining that the aircraft is experiencing the EESD condition, the one or more processors command an actuator of the aircraft coupled to a flap of the aircraft to extend the flap from a current flap position to a subsequent flap position defined by a flap extension sequence.

Abstract: Systems, methods, and apparatus for sensor fault detection and identification using residual failure pattern recognition are disclosed. In one or more embodiments, a method for sensor fault detection and identification for a vehicle comprises sensing, with sensors located on the vehicle, data. The method further comprises performing majority voting on the data for each of the types of data to generate a single voted value for each of the types of data. Also, the method comprises generating, for each of the types of data, estimated values by using some of the voted values. In addition, the method comprises generating residuals by comparing the estimated values to the voted values. Further, the method comprises analyzing a pattern of the residuals to determine which of the types of the data is erroneous to detect and identify a fault experienced by at least one of the sensors on the vehicle.

Abstract: Methods and apparatus for automatically extending aircraft wing flaps in response to detecting an excess energy steep descent condition are described. An example control system of an aircraft includes one or more processors. The one or more processors determine whether the aircraft is experiencing an excess energy steep descent (EESD) condition. In response to determining that the aircraft is experiencing the EESD condition, the one or more processors command an actuator of the aircraft coupled to a flap of the aircraft to extend the flap from a current flap position to a subsequent flap position defined by a flap extension sequence.

Abstract: Systems, methods, and apparatus for sensor fault detection and identification using residual failure pattern recognition are disclosed. In one or more embodiments, a method for sensor fault detection and identification for a vehicle comprises sensing, with sensors located on the vehicle, data. The method further comprises performing majority voting on the data for each of the types of data to generate a single voted value for each of the types of data. Also, the method comprises generating, for each of the types of data, estimated values by using some of the voted values. In addition, the method comprises generating residuals by comparing the estimated values to the voted values. Further, the method comprises analyzing a pattern of the residuals to determine which of the types of the data is erroneous to detect and identify a fault experienced by at least one of the sensors on the vehicle.

Abstract: A system includes a plurality of smart outlets and a backend system in wireless communication with the smart outlets. The smart outlets are configured to provide electrical power from an electrical system to respective power loads, and configured to measure power consumption characteristics thereof the respective power loads. The power consumption characteristics may include real power, apparent power or a combination thereof consumed by the respective power loads. The backend system may be configured to wirelessly receive the power consumption characteristics from the smart outlets for analysis in accordance with a power distribution schedule of the electrical system, and wirelessly transmit a command signal to one or more of the smart outlets in various instances response to the analysis. This command signal may instruct the respective one or more smart outlets to shed or restore power to respective power loads from the electrical system.

Abstract: A system includes a plurality of smart outlets and a backend system in wireless communication with the smart outlets. The smart outlets are configured to provide electrical power from an electrical system to respective power loads, and configured to measure power consumption characteristics thereof the respective power loads. The power consumption characteristics may include real power, apparent power or a combination thereof consumed by the respective power loads. The backend system may be configured to wirelessly receive the power consumption characteristics from the smart outlets for analysis in accordance with a power distribution schedule of the electrical system, and wirelessly transmit a command signal to one or more of the smart outlets in various instances response to the analysis. This command signal may instruct the respective one or more smart outlets to shed or restore power to respective power loads from the electrical system.