A cargo handling system is disclosed. In various embodiments, the system includes a wireless mobile maintenance display unit; a line replaceable unit; a data device configured to provide an operational status data concerning the line replaceable unit to the wireless mobile maintenance display unit; a first server configured to store a catalog of parts for repairing the line replaceable unit; and a system controller configured to communicate with a source of replacement parts for the line replaceable unit.

A cargo handling system is disclosed. In various embodiments, the system includes a wireless mobile maintenance display unit; a line replaceable unit; a data device configured to provide an operational status data concerning the line replaceable unit to the wireless mobile maintenance display unit; a first server configured to store a catalog of parts for repairing the line replaceable unit; and a system controller configured to communicate with a source of replacement parts for the line replaceable unit.

A method for identifying underperforming agents in a multi-agent cooperative system includes receiving information relating to the performance of each agent in the multi-agent system, calculating an estimated extracted resource value of each agent based on the received information, comparing the estimated extracted resource value of each agent to a threshold value, calculating a performance index based on the comparison and identifying an agent as an under-performing agent based on the performance index. A system for identifying under-performing agents in a plurality of agents in a multi-agent cooperative system includes a performance analyzing processor, a communications port for receiving state information for each agent and control information for each agent, a classifier for identifying a subset of agents in the plurality of agents that are performance comparable and an optimizer configured to identify an under-performing agent of performance comparable agents and generate updated control information for the identified under-performing agent.

A method for identifying underperforming agents in a multi-agent cooperative system includes receiving information relating to the performance of each agent in the multi-agent system, calculating an estimated extracted resource value of each agent based on the received information, comparing the estimated extracted resource value of each agent to a threshold value, calculating a performance index based on the comparison and identifying an agent as an under-performing agent based on the performance index. A system for identifying under-performing agents in a plurality of agents in a multi-agent cooperative system includes a performance analyzing processor, a communications port for receiving state information for each agent and control information for each agent, a classifier for identifying a subset of agents in the plurality of agents that are performance comparable and an optimizer configured to identify an under-performing agent of performance comparable agents and generate updated control information for the identified under-performing agent.

An engine communication system for aircraft engines having a nacelle with two cowlings extending annularly about the aircraft engine and defining a radially outward surface thereof, and at least one sensor positioned radially inward from the nacelle. The system includes a cowling gap positioned between the two cowlings when coupled together, and an engine control device communicatively coupled to the sensor and configured to at least one of receive engine data from the sensor and receive instruction data from a transmitter device positioned radially outward from the cowling gap. The system also includes a linearly polarized antenna communicatively coupled to the engine control device and positioned radially inward from the cowling gap and extending radially outward toward the cowling gap. The antenna is configured to at least one of receive and transmit the engine data and the instruction data through the cowling gap.

A method for predicting remaining useful life of a wind or water turbine or component determines in step 116 an EOH for the turbine or component and compares this in step 118 to an EOH limit obtained in step 114. This provides a simple approach to estimating remaining useful life, giving the turbine operator an indication of the condition of turbines or farms under management.

A method for predicting remaining useful life of a wind or water turbine or component determines in step 116 an EOH for the turbine or component and compares this in step 118 to an EOH limit obtained in step 114. This provides a simple approach to estimating remaining useful life, giving the turbine operator an indication of the condition of turbines or farms under management.

Detecting equipment failure risk in industrial process may include distributing equipment operations data to a cluster of servers based on a range of time and operation specified in maintenance data associated with the equipment. From a record entry in the maintenance data, an operation and installation and maintenance time may be determined. A plurality of servers storing equipment operations data associated with the operation during a time range between the installation and the maintenance time are selected. A distributed processing operation in each of the plurality of servers is executed to run in parallel and computes operation features. The operation features are aggregated and added as an entry in a target table. Equipment failure risk is detected by risk failure analysis performed based on the target table. A signal may be sent to automatically adjust or correct one or more operation features.

An inspection apparatus for enabling a remotely-located expert to monitor an inspection by a non-expert, the apparatus comprising an inspection device capable of being operated by the non-expert, which is configured to generate inspection data indicative of a condition of a test object, and a communication unit configured to: divide the inspection data into first and second data; transfer the first data for being presented to the remotely-located expert at a first time, to facilitate substantially real-time monitoring of the inspection by the expert; and transfer the second data for being presented to the remotely-located expert at a second time, which is later than the first time, to facilitate non-real time monitoring of the inspection by the expert.

An inspection apparatus for enabling a remotely-located expert to monitor an inspection by a non-expert, the apparatus comprising an inspection device capable of being operated by the non-expert, which is configured to generate inspection data indicative of a condition of a test object, and a communication unit configured to: divide the inspection data into first and second data; transfer the first data for being presented to the remotely-located expert at a first time, to facilitate substantially real-time monitoring of the inspection by the expert; and transfer the second data for being presented to the remotely-located expert at a second time, which is later than the first time, to facilitate non-real time monitoring of the inspection by the expert.