This disclosure relates generally to methods and systems for unobtrusive and automated detection of frequencies of spatially located distinct parts of a machine. Location of vibration and detection of vibration frequency of each vibrating part in a machine is critical for routine monitoring and fault detection in the machine. Current solutions use either high frames per second (fps) industrial grade camera or stroboscopes tuned at one particular frequency. Manual stroboscopes require manual intervention for objects moving at different speeds with high convergence time. Point-lasers need prior knowledge of exact location of faults. Also Point-by-point scanning of a large machine body is time consuming. In the present disclosure, a movement detector such as RADAR enables detecting all vibration frequencies that also serve to reduce the search space of a stroboscope configured to start strobing at each detected vibration frequency to enable mapping of each vibration frequency to a corresponding vibrating part.

Systems and methods are provided for segmenting a data frame to be acquired into a number of incremental data of equal data length. A first incremental data of the data frame can be acquired from one or more sensors. The first incremental data of the data frame can be processed while a next incremental data of the data frame is being acquired from the one or more sensors. The acquiring and processing of incremental data of the data frame can continue until a last incremental data of the data frame is acquired and processed. Processed incremental data can be outputted as a processed data frame.

An endpoint among a plurality of endpoints, synchronizes a clock across the plurality of endpoints. The endpoint generates a received ultrasonic signal by transducing ultrasonic sound received at a microphone from a spatial region. The ultrasonic sound includes an identical ultrasonic signal transmitted from the plurality of endpoints and echoes from the spatial region. The identical ultrasonic signal is generated with respect to the synchronized clock. The endpoint computes an error signal based on removing the identical ultrasonic signals and the echoes from the received ultrasonic signal. The endpoint detects motion in the spatial region based on a change in the error signal over time.

An endpoint among a plurality of endpoints, synchronizes a clock across the plurality of endpoints. The endpoint generates a received ultrasonic signal by transducing ultrasonic sound received at a microphone from a spatial region. The ultrasonic sound includes an identical ultrasonic signal transmitted from the plurality of endpoints and echoes from the spatial region. The identical ultrasonic signal is generated with respect to the synchronized clock. The endpoint computes an error signal based on removing the identical ultrasonic signals and the echoes from the received ultrasonic signal. The endpoint detects motion in the spatial region based on a change in the error signal over time.

Sonar rendering systems and methods are described herein. One example is an apparatus that includes a transducer element, position sensing circuitry, processing circuitry, and a display device. The processing circuitry may be configured to receive raw sonar data and positioning data, convert the raw sonar data into range cell data based at least on amplitudes of the return echoes, make a location-based association between the raw sonar data and the positioning data, plot the range cell data based on respective positions derived from the positioning data and rotate the range cell data based on a direction of movement of the watercraft to generate adjusted range cell data. The processing circuitry may be further configured to convert the adjusted range cell data into sonar image data, and cause the display device to render the sonar image data with a presentation of a geographic map.

A Doppler measurement system includes a random generator outputting a control signal encoding a random selection, and an ultrasonic array transducer for emitting a sequence of transmit pulses at a target at either an adjustable steering angle (plane wave imaging) or from a selectable non-sequential transducer element order (synthetic aperture imaging) corresponding to the random selection and for receiving an echo of each transmit pulse reflected from the target. Each transmit pulse is independently adjusted to a steering angle (plane wave imaging) or selectable transducer element order (synthetic aperture imaging) corresponding to a unique random selection so that the sequence of transmit pulses is a random sweep. The system can also include a memory for storing echo data, and a processor connected to the memory for using transmit data and echo data to extract a Doppler parameter. Methods of Doppler measurement and computer-readable medium can incorporating the measurement system.

A method for determining a flow acceleration directly from beamformed ultrasound data includes extracting a sub-set of data from the beamformed ultrasound data, wherein the sub-set of data corresponds to predetermined times and predetermined positions of interest, determining the flow acceleration directly from the extracted sub-set of data, and generating a signal indicative of the determined flow acceleration. An apparatus includes a beamformer (112) configured to processes electrical signals indicative of received echoes produced in response to an interaction of a transmitted ultrasound signal with tissue and generate RF data, and an acceleration flow processor (114) configured to directly process the RF data and generate a flow acceleration therefrom.

A method for determining a flow acceleration directly from beamformed ultrasound data includes extracting a sub-set of data from the beamformed ultrasound data, wherein the sub-set of data corresponds to predetermined times and predetermined positions of interest, determining the flow acceleration directly from the extracted sub-set of data, and generating a signal indicative of the determined flow acceleration. An apparatus includes a beamformer (112) configured to processes electrical signals indicative of received echoes produced in response to an interaction of a transmitted ultrasound signal with tissue and generate RF data, and an acceleration flow processor (114) configured to directly process the RF data and generate a flow acceleration therefrom.

Embodiments are provided for managing the operation of sensors in an electronic device. According to certain aspects, the electronic device may detect a change in motion from a set of lower-sensitivity sensor data generated by a sensor(s) operating in a lower-sensitivity mode. When the change in motion is detected and during a timeout window, the sensor(s) may generate an additional set of lower-sensitivity sensor data and a set of higher-sensitivity sensor data. The electronic device may initially confirm the change in motion based on analyzing the set of higher-sensitivity sensor data. Further, the electronic device may determine that the additional set of lower-sensitivity does not indicate an additional change in motion, and may deem the confirmation of the change in motion as a false positive.

Embodiments are provided for managing the operation of sensors in an electronic device. According to certain aspects, the electronic device may detect a change in motion from a set of lower-sensitivity sensor data generated by a sensor(s) operating in a lower-sensitivity mode. When the change in motion is detected and during a timeout window, the sensor(s) may generate an additional set of lower-sensitivity sensor data and a set of higher-sensitivity sensor data. The electronic device may initially confirm the change in motion based on analyzing the set of higher-sensitivity sensor data. Further, the electronic device may determine that the additional set of lower-sensitivity does not indicate an additional change in motion, and may deem the confirmation of the change in motion as a false positive.