A hitch angle detection system is provided herein. Ultrasonic transducers are disposed on a rear vehicle structure and are configured to transmit ultrasonic waves in a rearward vehicle direction. An ultrasonic reflector is disposed on a trailer and is configured to reflect incident ultrasonic waves back toward the corresponding ultrasonic transducers. A processor is configured to derive distance measurements between the ultrasonic transducers and the ultrasonic reflector and determine a hitch angle based on the derived distance measurements.

A drilling tool for drilling a wellbore in a formation, where the drilling tool includes: a drill bit comprising a cutting element, a sensor array, and a controller. The sensor array includes: an acoustic emissions (AE) sensor configured to measure an acoustic signal generated during drilling of the formation by the cutting element and a load sensor configured to measure an applied load by the cutting element on the formation. The controller is communicably connected to the sensor array and configured to determine a toughness of the cutting element using the acoustic signal, the applied load, and a wear state.

A drilling tool for drilling a wellbore in a formation, where the drilling tool includes: a drill bit comprising a cutting element, a sensor array, and a controller. The sensor array includes: an acoustic emissions (AE) sensor configured to measure an acoustic signal generated during drilling of the formation by the cutting element and a load sensor configured to measure an applied load by the cutting element on the formation. The controller is communicably connected to the sensor array and configured to determine a toughness of the cutting element using the acoustic signal, the applied load, and a wear state.

Flight control systems, flight control methods, and aircraft navigation systems and methods are provided. A method for estimating a sound level at a geographical location including determining, by an aircraft navigational processor, an initial navigational route, estimating, by the aircraft navigational processor, the sound level at the geographical location in response to a first sound pressure wave estimated to be generated by the aircraft at a first point along the initial navigational route and a second sound pressure wave generated by the aircraft at a second point along the initial navigational route, determining, by the aircraft navigational processor, an alternate navigational route in response to the sound level exceeding a noise limit at the geographical location, and displaying, by a user interface, the alternate navigational route and an alert indicative of the sound level exceeding the noise limit.

An interferometric vibration observation device includes a transmitting unit, a receiving unit and a signal processing unit. The transmitting unit transmits a transmission signal toward an observation object. The receiving unit receives a reflection wave from the observation object with a plurality of receiving antennas and generates a reception signal for each of the receiving antennas. The signal processing unit obtains a phase plane of the reflection wave to an antenna plane from a phase difference between the reception signals, identifies an arrival direction and a signal strength of the reflection wave, calculates a phase variation of the reflection wave from a certain direction, and generates an observation signal representative of a vibration of the observation object or a certain site of the observation object.

An interferometric vibration observation device includes a transmitting unit, a receiving unit and a signal processing unit. The transmitting unit transmits a transmission signal toward an observation object. The receiving unit receives a reflection wave from the observation object with a plurality of receiving antennas and generates a reception signal for each of the receiving antennas. The signal processing unit obtains a phase plane of the reflection wave to an antenna plane from a phase difference between the reception signals, identifies an arrival direction and a signal strength of the reflection wave, calculates a phase variation of the reflection wave from a certain direction, and generates an observation signal representative of a vibration of the observation object or a certain site of the observation object.

Methods and systems for solving inverse problems arising in systems described by a physics-based forward propagation model use a Bayesian approach to model the uncertainty in the realization of model parameters. A Generative Adversarial Network (“GAN”) architecture along with heuristics and statistical learning is used. This results in a more reliable point estimate of the desired model parameters. In some embodiments, the disclosed methodology may be applied to automatic inversion of physics-based modeling of pipelines.

A harvester includes a measuring device for detecting a grain number of a crop flow, in which a sensor of the measuring device detects via a measuring signal kernels impacting an impact surface of the measuring device, and a processing unit of the measuring device is arranged to detect and calculate the grain number by using the measuring signal, wherein the rising edges of the measuring signal are recorded and form a measurement for the grain number. Furthermore, the measuring device for detecting a grain number and method for detecting a grain number are also provided.

A harvester includes a measuring device for detecting a grain number of a crop flow, in which a sensor of the measuring device detects via a measuring signal kernels impacting an impact surface of the measuring device, and a processing unit of the measuring device is arranged to detect and calculate the grain number by using the measuring signal, wherein the rising edges of the measuring signal are recorded and form a measurement for the grain number. Furthermore, the measuring device for detecting a grain number and method for detecting a grain number are also provided.

Methods and systems are presented in this disclosure for fluid flow metering with point sensing. A transducer (acoustic sensor) located at a point externally along a pipe (e.g., deployed in a wellbore) can transform a mechanical energy of a fluid flow in the pipe into an acoustic signal, which is then acquired and digitized to obtain a digital signal. The acquired digital signal related to the fluid flow can be processed by applying various advance signal processing techniques in order to remove sharp and/or broadband resonances due to a turbulent fluid flow to determine energy associated with the fluid flow. A rate of the fluid flow can be then estimated by mapping the determined energy to a fluid flow rate.