Abstract: A structure displacement amount measurement apparatus includes: an acquiring unit configured to acquire a displacement amount caused on a structure by a weight of a vehicle traveling on the structure along a time series; an estimating unit configured to estimate a section in which displacement is caused based on time-series data of the displacement amount; a detecting unit configured to detect a feature value of change in displacement amount within the estimated section; a determining unit configured to determine whether or not the estimated section is a section of displacement due to a weight of a single vehicle based on the detected feature value; and an extracting unit configured to extract a displacement amount from the time-series data within a section of displacement due to a weight of a single vehicle based on a result of the determination.

Abstract: A tool recognition system may comprise a tool recognition assembly and a control system in communication with the tool recognition assembly. The control system may comprise a processor and a memory comprising machine-readable instructions. When executed by the processor, the instructions may cause the control system to receive a first baseline sensor value from the tool recognition assembly and determine a baseline adjustment threshold based on the first baseline sensor value. The instructions may also cause the control system to receive first monitored sensor data from the tool recognition assembly and compare the first monitored sensor data to the baseline adjustment threshold for a predetermined duration. If the comparison satisfies a comparison criterion, a second baseline sensor value may be established using the first monitored sensor data.

Abstract: In an unmanned system for monitoring lateral deformation of a landslide based on inertial measurement, a deformable coupling pipeline is disposed in a landslide mass. An unmanned trajectory tracer is provided with a battery, a motor wheel, an inertial sensor, and a single chip microcomputer that are electrically connected. The single chip microcomputer controls the motor wheel to drive the unmanned trajectory tracer to move back and forth in the deformable coupling pipeline. The single chip microcomputer controls the inertial sensor to measure a shape of the deformable coupling pipeline. Two monitoring piers are disposed at two ends of the deformable coupling pipeline respectively. The monitoring pier is provided with a GPS device and a communication device, the communication device is in communication connection with the single chip microcomputer, and the single chip microcomputer obtains the shape of the deformable coupling pipeline and sends to the communication device.

Abstract: Methods, systems, and devices for calibrating a barometer of a client device. A server computer accesses historical data including location data, and atmospheric pressure data collected from a plurality of client devices over a period of time. An equation system defined by the historical data is solved. The equation system has a plurality of unknown parameters, the plurality of unknown parameters comprising a barometer bias of a first client device among the plurality of client devices. The first client device is calibrated using the barometer bias.

Abstract: Methods and devices for diagnosing a robot. A method includes obtaining a spectrum of a motion signal generated by a rotating component of the robot during operation of the robot. A frequency amplitude of a sub-component of the rotating component is determined from the spectrum, based on a physical characteristic and a speed of the sub-component. A failure of the sub-component is detected by comparing the frequency amplitude with a threshold amplitude.

Abstract: A method of evaluating a structural integrity of an aerial vehicle comprising one or more engines comprises selectively driving said engine/s of said aerial vehicle according to a driving pattern unsuitable to put or maintain the aerial vehicle in flight, recording a vibrational response of at least a part of the aerial vehicle to said selective driving of said engine/s, determining a plurality of modal parameters of said vibrational response, in particular an eigenfrequency of said vibrational response and/or a damping factor corresponding to said eigenfrequency, and classifying said structural integrity based on a deviation of said plurality of modal parameters from baseline modal parameters for said aerial vehicle.

Abstract: Systems and techniques are described herein. For example, a process can include obtaining first sensor measurement data associated with a and second sensor measurement from one or more sensors. In some cases, the first measurement data can be associated with a first time and the second sensor measurement data can be associated with a second time occurring after the first time. In some aspects, the process includes determining that the first sensor measurement data and the second sensor measurement data satisfy at least one batching condition. In some examples, the process includes, based on determining that the first sensor measurement data and the second sensor measurement data satisfy the at least one batching condition, generating a sensor measurement data batch including the first sensor measurement data, the second sensor measurement data, and at least one target sensor measurement data. Ins examples the process includes outputting the sensor measurement data batch.

Abstract: An apparatus includes an acquisition means for acquiring displacement quantity in a time-series manner, the displacement quantity being generated at a measurement part of a structure by the weight of a vehicle that travels on the structure, a detection means for detecting the size of the vehicle that passes through the structure and detecting the type of the vehicle from the size, and a control means for controlling the acquisition means on the basis of the detected type of the vehicle.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for tracking amounts of wires provided to a winding head during a winding operation of a wire distribution system. The wires can be tracked using one or more wire tracking devices that can be disposed at one or more locations within the wire distribution system. The wire tracking devices can provide information related to the amounts of wires and the types of wires being used to wind about a winding head/form. The information can be used to check for errors during a winding operation and indicate the progress of the winding operation. The information can also be used to update wire-availability data to reflect the amount of wire that has been provided during the winding operation.

Abstract: A stress distribution image processing device including: a processing unit configured to: designate a normalization region which includes a portion of stress equal to or larger than a predetermined threshold value in a screen of a stress distribution image of a target object; and normalize pixels in the normalization region based on stress values in the normalization region to obtain a normalized image.

Abstract: The present disclosure provides an automatic test system for actual stress of a bridge based on DIC technology, where the system includes a camera, a phosphor spraying device, a computer, and a sliding rail; the sliding rail is arranged on both sides of an upper wing of a box-shaped concrete beam; the phosphor spraying device is used to spray phosphor on a web of the box-shaped concrete beam to form speckles of varying light and shade; the camera is slidably connected to the sliding rail through a bracket, and is used to photograph the speckles and transmit a speckle image to the computer; and the computer is used to analyze and process the speckle image taken by the camera and generate a time history diagram of stress.

Abstract: A monitoring device for monitoring a bearing in an electromagnetic field environment includes a vibration sensor for delivering at least one measurement that includes at least one vibration frequency generated by a bearing, and a processing module that includes a first processing module configured to determine at least one normalized measured value from the at least one vibration frequency, a filtering module configured to compare the normalized measured value to at least one predetermined normalized reference value indicative of electromagnetic phenomena acting on the bearing, and a second processing module configured to process the at least one vibration frequency to determine a bearing defect if the normalized measured value is different from the at least one predetermined normalized reference value.

Abstract: The present invention relates to a method for predicting physical properties of an amorphous porous material which may predict an acoustic physical property value and an absorption coefficient from parameters of an amorphous porous material, and may estimate the acoustic characteristics with the amorphous porous material which is an amorphous specimen even without separately producing a formalized specimen such as a cylindrical specimen or a flat specimen. Further, the method for predicting physical properties of the amorphous porous material may estimate the acoustic physical properties through the analysis of a three-dimensional pore connection structure, which is a microstructure of an amorphous specimen, even without acoustic impedance, thereby estimating the acoustic physical properties which accurately reflect the characteristics of the actual specimen.

Abstract: A testbench system is disclosed. The system includes a network interface; a memory storage; a transducer; and one or more processors. The one or more processors are configured to operate in a first phase and: perform calibration of the transducer and generate calibration data; generate a unique identification (CTS-ID) for the transducer based on the calibration data; mark the transducer with the CTS-ID; and provide the CTS-ID and the calibration data to the network interface for transmission to a database.

Abstract: A device for measuring fluid parameters may be modular or integrally formed. The device is positioned on a machine that includes one or more fluids to be monitored, and the device includes a (1) controller, (2) spacer that connects to a power source and that may include one or more connectors to connect to remote sensors, and (3) an optional manifold through which the fluid may pass. The manifold could include fluid sensors and/or be connectable to a sample bottle for the purpose of taking fluid samples.

Abstract: The invention relates to a method (1) for monitoring a rotating machine (100) of an aircraft, wherein a measurement signal is acquired from the rotating machine. According to the invention, instantaneous frequencies (fK(t)) of sinusoidal components of the measurement signal are estimated, and, using a computing module (12), a plurality of successive iterations are carried out in each of which: complex envelopes of the components are updated (C1), parameters of a model of a noise of the signal are updated (C21) on the basis of the envelopes, whether the model has converged from the preceding iteration to the present iteration is tested (C4), with a view to: o if not, carrying out a new iteration, o if so, performing a computation (D) of the complex envelopes on the basis of the iterations that have been carried out.

Abstract: In a method for determining vibrations generated by a device, first vibration measurements are received from a first accelerometer coupled to the device, the first vibration measurements comprising a first device vibration contribution and a first environmental vibration contribution, wherein the device is located within an environment comprising a plurality of devices capable of generating vibrations. Second vibration measurements are received from a second accelerometer located within the environment and not connected to the device, the second vibration measurements comprising a second device vibration contribution and a second environmental vibration contribution. The first vibration measurements and the second vibration measurements are compared. Based on the comparing, the first device vibration contribution is estimated.

Abstract: An automatic sensitivity adjusting analog ultrasonic sensor includes an ultrasonic transducer, and a front end adjustable gain amplifier that amplifies the received ultrasonic signal from the transducer. A processor generates a carrier signal and a heterodyning circuit combines the carrier signal and the amplified ultrasonic signal to form a modulated signal spectrum from which an audio spectrum signal is generated. The processor further monitors the amplitude level of the audio spectrum signal and executes an auto sensitivity adjustment algorithm that automatically adjusts the sensitivity (the gain) of the analog front end amplifier down if the amplitude is above a preset upper threshold or up if the amplitude is below a present lower threshold. The processor may also further monitors the amplitude level of the ultrasonic signal level directly from the front end adjustable gain amplifier and execute the auto sensitivity adjustment algorithm as required.

Abstract: A method for testing a rotor blade component of a rotor blade for a wind power installation, comprising: dividing a rotor blade component of a rotor blade for a wind power installation into two, three or more rotor blade component segments, forming cutouts in a connection interface at a connection end of one of the rotor blade component segments. A rotor blade component segment of a rotor blade for a wind power installation, the rotor blade component segment comprising a connection end which has been formed by dividing a rotor blade component of a rotor blade for a wind power installation into two, three or more rotor blade component segments, a connection interface at the connection end of the rotor blade component segment, and cutouts which are formed in the connection interface and serve for connection of the rotor blade component segment to a test stand.

Abstract: A detector capable of detecting bearing faults in advance is disclosed. The detector includes a microprocessor with an input terminal connected to a power supply and an output terminal connected to a detection information output device. A resonance enhanced piezoelectric sensor is provided. A sensor trigger detection circuit is electrically connected between the sensor and the microprocessor. An input terminal of the sensor trigger detection circuit is connected in parallel with a sensor signal selection circuit. The sensor signal selection circuit is connected in series with a sensor signal processing circuit. An output terminal of the sensor signal processing circuit is connected in series with a programmable gain circuit. The programmable gain circuit is connected to the microprocessor. The sensor trigger detection circuit, the sensor signal selection circuit, the sensor signal processing circuit, and the programmable gain circuit are respectively connected to the power supply.