Abstract: The present disclosure relates to medicament injection devices. An injection device includes: a movable dosage programming component comprising a rotary encoder system having a predefined angular periodicity, a sensor arrangement including a first optical sensor configured to detect movement of the movable dosage programming component relative to the sensor arrangement during dosing of a medicament, wherein the first optical sensor is configured to operate in a strobe-sampling mode at a first frequency, a second optical sensor configured to detect movement of the rotary encoder system relative to the second optical sensor wherein the second optical sensor is configured to operate in a strobe-sampling mode at a second frequency lower than the first frequency, and a processor arrangement configured to, based on the detected movement, determine a medicament dosage administered by the injection device.

Abstract: A control system is provided and includes a servo control system configured to control aerodynamic element pitching, an optical sensor system disposed along rotor blades to generate an optical response reflective of rotor feedback states of the rotor blades and a processing unit operably coupled between the servo control and optical sensor systems, the processing unit being configured to calculate strain in the rotor blades from the optical response, convert the calculated strain into readings of the rotor feedback states and issue a servo command to the servo control system as an instruction for controlling the aerodynamic element pitching.

Abstract: A method of real-time rotor fault detection includes measuring a set of loads to obtain measured signals and virtually monitoring the set of loads to obtain estimated signals. The estimated signals are subtracted from the measured signals to obtain residuals and the residuals are compared to a categorical model. A categorical output representative of a rotor fault is identified within the categorical model.

Abstract: A system for monitoring for pushrod faults in an aircraft includes a pushrod; a sensor (36) mounted on the pushrod (34), the sensor (36) wirelessly transmitting measured pushrod load data; a receiver (44) receiving the measured pushrod load data; a model (42) receiving flight data and generating a modeled pushrod load profile; and a fault detector (46) comparing measured pushrod load data to the modeled pushrod load profile to detect a pushrod fault.

Abstract: A system for monitoring for pushrod faults in an aircraft includes a pushrod; a sensor (36) mounted on the pushrod (34), the sensor (36) wirelessly transmitting measured pushrod load data; a receiver (44) receiving the measured pushrod load data; a model (42) receiving flight data and generating a modeled pushrod load profile; and a fault detector (46) comparing measured pushrod load data to the modeled pushrod load profile to detect a pushrod fault.

Abstract: A method of real-time rotor fault detection includes measuring a set of loads to obtain measured signals and virtually monitoring the set of loads to obtain estimated signals. The estimated signals are subtracted from the measured signals to obtain residuals and the residuals are compared to a categorical model. A categorical output representative of a rotor fault is identified within the categorical model.