Abstract: Systems and methods are disclosed for data collection from landing gear components and providing predictive analytics. Example methods include sending a signal to excite wheel assembly sensors located on a vehicle, and receiving a return signal encoded with measurement data. The measurement data is then stored on an RFID card, on an edge node, and/or on a remote server. Upon receipt of the measurement data by a remote server, the remote server analyzes the data to generate predictive maintenance analytics data.

Abstract: Systems and methods for measuring the wear of carbon brakes of an aircraft are disclosed herein. The systems and methods include a 3-axis acceleration sensor module mounted on a brake assembly, the 3-axis acceleration sensor module configured to detect acceleration events of the brake assembly in three different component directions. The systems and methods further include a memory module operably connected to the 3-axis acceleration sensor module, the memory module configured to store acceleration events detected by the 3-axis acceleration sensor module and to store a pre-determined threshold for determining carbon brake wear based upon a number of acceleration events detected in a single component direction of the three different component directions. The systems and methods also include a processor module operably connected the processor module configured to compare the stored acceleration events detected in a single direction of the three different directions to the stored pre-determined threshold.

Abstract: System and method are disclosed for data collection from landing gear components and providing predictive analytics. Methods comprise sending a signal to excite wheel assembly sensor located on a vehicle. In response to sending the signal excited the sensors, receiving a return signal encoded with measurement data. The measurement data is then stored on an RFID card, on an edge node and/or on a remote server. Upon receipt of the measurement data by the remote server, the remote server analyzes the data to generate predictive maintenance analytics data.

Abstract: System and method are disclosed for data collection from landing gear components and providing predictive analytics. Methods comprise sending a signal to excite wheel assembly sensor located on a vehicle. In response to sending the signal excited the sensors, receiving a return signal encoded with measurement data. The measurement data is then stored on an RFID card, on an edge node and/or on a remote server. Upon receipt of the measurement data by the remote server, the remote server analyzes the data to generate predictive maintenance analytics data.

Abstract: Systems and methods for measuring the wear of carbon brakes of an aircraft are disclosed herein. The systems and methods include a 3-axis acceleration sensor module mounted on a brake assembly, the 3-axis acceleration sensor module configured to detect acceleration events of the brake assembly in three different component directions. The systems and methods further include a memory module operably connected to the 3-axis acceleration sensor module, the memory module configured to store acceleration events detected by the 3-axis acceleration sensor module and to store a pre-determined threshold for determining carbon brake wear based upon a number of acceleration events detected in a single component direction of the three different component directions. The systems and methods also include a processor module operably connected the processor module configured to compare the stored acceleration events detected in a single direction of the three different directions to the stored pre-determined threshold.

Abstract: Energy scavenging health monitors are provided for assessing the health of components onboard aircraft and other vehicles, as are methods carried-out by energy scavenging health monitors. In various embodiments, the energy scavenging health monitor includes an energy scavenger system, a controller coupled to the energy scavenger system, and a first sensor coupled to the controller. During operation of the health monitor, the first sensor provides sensor signals to the controller, which are indicative of an operational parameter pertaining to a monitored device of the vehicle. Storage media contains computer-readable instructions, which when executed by the controller, cause the energy scavenging health monitor to determine when a predetermined trigger event has occurred based, at least in part, on electrical input signals received from the energy scavenger system.

Abstract: System and method are disclosed for data collection from landing gear components and providing predictive analytics. Methods comprise sending a signal to excite wheel assembly sensor located on a vehicle. In response to sending the signal excited the sensors, receiving a return signal encoded with measurement data. The measurement data is then stored on an RFID card, on an edge node and/or on a remote server. Upon receipt of the measurement data by the remote server, the remote server analyzes the data to generate predictive maintenance analytics data.

Abstract: Energy scavenging health monitors are provided for assessing the health of components onboard aircraft and other vehicles, as are methods carried-out by energy scavenging health monitors. In various embodiments, the energy scavenging health monitor includes an energy scavenger system, a controller coupled to the energy scavenger system, and a first sensor coupled to the controller. During operation of the health monitor, the first sensor provides sensor signals to the controller, which are indicative of an operational parameter pertaining to a monitored device of the vehicle. Storage media contains computer-readable instructions, which when executed by the controller, cause the energy scavenging health monitor to determine when a predetermined trigger event has occurred based, at least in part, on electrical input signals received from the energy scavenger system.