Patent classifications
G01P3/00
REAL-TIME TIRE MONITORING SYSTEM
A computer-implemented method can comprise determining, by a device comprising a processor, wear state information representative of a wear state of a tire of a vehicle based on an output from a sensor of the vehicle, and in response to the wear state of the tire being determined to exceed a tire wear threshold, generating, by the device, an alert signal associated with the wear state of the tire.
REAL-TIME TIRE MONITORING SYSTEM
A computer-implemented method can comprise determining, by a device comprising a processor, wear state information representative of a wear state of a tire of a vehicle based on an output from a sensor of the vehicle, and in response to the wear state of the tire being determined to exceed a tire wear threshold, generating, by the device, an alert signal associated with the wear state of the tire.
Fault detection for a speed sensing system of a multi-engine rotorcraft
The present disclosure provides methods and systems for fault detection for a speed sensing system of a multi-engine rotorcraft. A shaft speed for a first engine and a rotor speed for at least one rotor of the multi-engine rotorcraft are obtained. The shaft speed is compared to the rotor speed. When the shaft speed is greater than the rotor speed, a first fault in the speed sensing system is detected and a first speed sensing system fault signal is issued. When the shaft speed is less than the rotor speed, a determination is made regarding whether the first engine is coupled the at least one rotor based on a fuel flow to the first engine. A second fault in the speed sensing system is detected and a second speed sensing system fault signal is issued responsive to determining that the first engine is coupled to the at least one rotor.
Fault detection for a speed sensing system of a multi-engine rotorcraft
The present disclosure provides methods and systems for fault detection for a speed sensing system of a multi-engine rotorcraft. A shaft speed for a first engine and a rotor speed for at least one rotor of the multi-engine rotorcraft are obtained. The shaft speed is compared to the rotor speed. When the shaft speed is greater than the rotor speed, a first fault in the speed sensing system is detected and a first speed sensing system fault signal is issued. When the shaft speed is less than the rotor speed, a determination is made regarding whether the first engine is coupled the at least one rotor based on a fuel flow to the first engine. A second fault in the speed sensing system is detected and a second speed sensing system fault signal is issued responsive to determining that the first engine is coupled to the at least one rotor.
Distributed process state and input estimation for heterogeneous active/passive sensor networks
Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.
Distributed process state and input estimation for heterogeneous active/passive sensor networks
Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.
POSITION SENSOR AND POSITION ENCODER USING MILLIMETER-WAVE METAMATERIAL WITH A MILLIMETER-WAVE RADAR
A rotation sensor system includes a rotatable target object configured to rotate about a rotational axis in a rotation direction; a first millimeter-wave (mm-wave) metamaterial track coupled to the rotatable target object, where the first mm-wave metamaterial track is arranged around the rotational axis, and where the first mm-wave metamaterial track includes a first array of elementary structures having at least one first characteristic that changes around a perimeter of the first mm-wave metamaterial track; at least one transmitter configured to transmit a first electro-magnetic transmit signal towards the first mm-wave metamaterial track, where the first mm-wave metamaterial track converts the first electro-magnetic transmit signal into a first electro-magnetic receive signal; at least one receiver configured to receive the first electro-magnetic receive signal; and at least one processor configured to determine a rotational parameter of the rotatable target object based on the received first electro-magnetic receive signal.
POSITION SENSOR AND POSITION ENCODER USING MILLIMETER-WAVE METAMATERIAL WITH A MILLIMETER-WAVE RADAR
A rotation sensor system includes a rotatable target object configured to rotate about a rotational axis in a rotation direction; a first millimeter-wave (mm-wave) metamaterial track coupled to the rotatable target object, where the first mm-wave metamaterial track is arranged around the rotational axis, and where the first mm-wave metamaterial track includes a first array of elementary structures having at least one first characteristic that changes around a perimeter of the first mm-wave metamaterial track; at least one transmitter configured to transmit a first electro-magnetic transmit signal towards the first mm-wave metamaterial track, where the first mm-wave metamaterial track converts the first electro-magnetic transmit signal into a first electro-magnetic receive signal; at least one receiver configured to receive the first electro-magnetic receive signal; and at least one processor configured to determine a rotational parameter of the rotatable target object based on the received first electro-magnetic receive signal.
SENSING AXIS VARIABLE WHEEL SPEED SENSOR APPARATUS FOR AUTONOMOUS VEHICLE
Provided is a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, and more particularly, a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, which includes a plurality of sensors and in which the position of a sensing axis is selectively varied.
SENSING AXIS VARIABLE WHEEL SPEED SENSOR APPARATUS FOR AUTONOMOUS VEHICLE
Provided is a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, and more particularly, a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, which includes a plurality of sensors and in which the position of a sensing axis is selectively varied.