Abstract: Systems and methods related to optical measurement of vibrations experienced by components may include a light source, a reflector associated with a component to be measured, and an optical sensor. In addition, the systems may include one or more fiber optic cables to transmit emitted light between the light source and the reflector, and to transmit reflected light between the reflector and the optical sensor. The optical measurement systems may enable detection of a large dynamic range of vibrations experienced by components or systems, and may also enable determinations related to high cycle fatigue and other stresses. Further, the optical measurement systems may be integrated into systems having various components to be measured, thereby enabling continuous, in-situ measurement of vibrations and health, as well as continuous monitoring and adjustment of operations of such systems.

Abstract: Self-generated thermal stress evaluation concepts are described. In one embodiment, a system includes a computing device, a cooling system, such as fans, that draws heat away from the computing device, and a management controller. The management controller can sense a temperature in the computing device and compare it against a temperature profile. The temperature profile can specify one or more target temperatures in the computing device over time. Based on the comparison, the management controller can adjust a cooling capacity of the cooling system. The adjustment to the cooling capacity can be achieved by reducing the speed of the fans, for example, to raise the temperature in the computing device. Processing tasks can also be executed in the computing device and, in response to the detection of an error in the computing device, the management controller can record the error and a profile for the error for further evaluation.

Abstract: Techniques are described for assessing the health of an unmanned vehicle such as an unmanned aerial vehicle (UAV). In some embodiments, sensors corresponding to subsystems of the UAV may be utilized to assess the health of a particular subsystem. Predictive models may be stored within memory of the UAV to enable such assessments to be performed at the UAV (e.g., during performance of a mission). Sensor data collected from sensors on the UAV may be provided as input for a predictive model associated with a particular subsystem. The predictive model may output a failure prediction indicating a likelihood, and in some cases, a time by which failure of the subsystem is predicted to occur given the sensor data. In some embodiments, one or more corrective actions may be identified and triggered based, at least in part, on the failure prediction.