Abstract: A method for determining the position and orientation of a vehicle includes constructing, for several instants tk ranging between instants toj?1 and toj, an estimate of the instantaneous value of the physical quantity on the basis of the measurements of an inertial navigation unit; constructing an estimate of the physical quantity for the instant toj by computing the arithmetic mean of the constructed instantaneous values; computing a deviation between a measurement of the physical quantity obtained on the basis of the measurement of an odometer and an estimate of the physical quantity at the instant toj; and correcting, as a function of the deviation computed for the instant toj, estimated positions and orientations of the vehicle, in order to obtain a corrected position and a corrected orientation.

Abstract: A positioning calibration controller for measuring and calibrating the configuration dimensions of a construction working machine having an machine body including a first surveying device for surveying the position coordinates and a movable working tool including one or more angle detecting devices, wherein the positioning calibration method and the positioning calibration controller of the construction working machine having the feature of specifying the configuration dimensions and the configuration positions of the movable business tool by the position measurement data and the angle data detected by the angle detecting device by measuring the position coordinates of the plurality of posture positions of the movable business tool by a second surveying device.

Abstract: A method for calculating a remaining useful life of an apparatus comprises the following steps. Time-series of previous runs and a current run of the apparatus are provided containing data of sensors configured to monitor parameters of the apparatus. An error occurs when a parameter breaches a threshold. Cumulative counts of errors occurring during a run are calculated. A linearly decreasing remaining useful life is calculated for previous runs. Breakdowns of the apparatus are mapped in an error space. Each dimension of the error space refers to one type of an error. The breakdown points are mapped at coordinates which represent cumulative error counts at the time of the breakdowns. A test point representing cumulative error counts of the current run is mapped. At least two nearest breakdown points to the test point are identified. The remaining useful life of the apparatus is calculated based on the nearest breakdown points.

Abstract: There is a demand for low-cost robust method to detect corrosion for estimating corrosion inhibitor (CI) concentration sensing. This disclosure herein relates to method and system for estimating corrosion inhibitor (CI) concentration using a multi-electrode array sensor. The method initially obtains a plurality of electrochemical signals using the multi-electrode array sensor from the corroding environment. Further, the plurality of electrochemical signals are analyzed to obtain a plurality of parameters. Further, the method analyses a plurality of features from the plurality of parameters for estimating the corrosion inhibitor (CI) concentration using a trained machine learning model. The method is capable of estimating the corrosion inhibitor concentration of any unknown liquid using the regression model and the classification model.

Abstract: A system and method utilizing a light transfer protocol for a sensor that monitors hose assembly degradation is disclosed. The system includes a sensor having one or more first alignment features, a contactless switch, and a light transmitter configured to transmit a light transfer protocol. The light transfer protocol is a sensor unique identification code recognizable by a gateway device that automatically pairs the sensor to the gateway device.

Abstract: A strict reverse navigation method for optimal estimation of fine alignment is provided. The strict reverse navigation method including: establishing an adaptive control function; performing a forward navigation calculation process; performing a reverse navigation calculation process; and performing the adaptive control for a number of forward and reverse calculations. The strict reverse navigation method shortens an alignment time for the optimal estimation of fine alignment while ensuring an alignment accuracy. The strict reverse navigation method provided effectively solves a problem that an error of an initial value of filtering in an initial stage of the optimal estimation of fine alignment affects convergence speeds of subsequent stages. In the initial stage, a larger number of the forward and reverse navigation calculations are adopted to reduce an error of the initial value as much as possible and increase a convergence speed of the filtering.

Abstract: A method for diagnosing and predicting operation conditions of large-scale equipment based on feature fusion and conversion, including: collecting a vibration signal of each operating condition of the equipment, and establishing an original vibration acceleration data set of the vibration signal; performing noise reduction on the original vibration acceleration data set, and calculating a time domain parameter; performing EMD on a de-noised vibration acceleration and calculating a frequency domain parameter; constructing a training sample data set through the time domain parameter and the frequency domain parameter; establishing a GBDT model, and inputting the training sample data set into the GBDT model; extracting a leaf node number set from a trained GBDT model; performing one-hot encoding on the leaf node number set to obtain a sparse matrix; and inputting the sparse matrix into a factorization machine to obtain a prediction result.

Abstract: The present invention relates to a method for updating strapdown inertial navigation solutions based on a launch-centered earth-fixed (LCEF) frame (g frame). The present invention uses the g frame as a navigation reference frame of a medium-to-short-range surface-to-surface missile. This is beneficial to establish a relative relationship between the missile and the ground so as to keep the same missile parameters required by a missile control and guidance system. The calculation of a navigation algorithm in the g frame is moderate, which is suitable for an embedded system.

Abstract: A test apparatus for torsional testing of a wind turbine blade is provided. The apparatus includes a test stand for rigidly supporting the wind turbine blade; a load frame for mounting on the wind turbine blade at a testing position along the length of the blade; and an actuator connected to the load frame for twisting the blade via the load frame. The load frame includes an outer frame to which the actuator is connected and a profiled insert held within the outer frame and defining a profiled aperture corresponding to the profile of the blade at the testing position. The profiled insert encloses and is in direct contact with the outer surface of the blade over substantially the entire profile of the blade. A system and method of torsional testing of a wind turbine blade and a load frame for the test apparatus are also provided.

Abstract: Systems and techniques for active asset monitoring are presented. A system can collect a set of voltage measurements from one or more assets. The system can also perform learning associated with the set of voltage measurements and generate a set of digital signatures that includes a set of patterns regarding the set of voltage measurements. Furthermore, the system can determine monitor performance of an asset based on the set of digital signatures that includes the set of patterns regarding the set of voltage measurements.

Abstract: Pressure-based estimation of a mobile device altitude or calibration of a pressure sensor involves machines that determine if a reference-level pressure value based on one or more measurements of pressure from a network of weather stations should or should not be used to calibrate a pressure sensor of a mobile device or to estimate an altitude of the mobile device. If reference-level pressure value should be used, the reference-level pressure value is used to calibrate a pressure sensor of a mobile device or to estimate an altitude of the mobile device. If the reference-level pressure value should not be used, a trend in pressure is determined, an estimated reference-level pressure value based on the trend is determined, and the estimated reference-level pressure value is used to calibrate a pressure sensor of a mobile device or to estimate an altitude of the mobile device.

Abstract: The present invention discloses a 3D defect detection method with magnetic flux leakage testing (MFLT). It has advantages of higher accuracy of 3D detection of defect and simpler testing device relative to the prior MFLT art. This method includes the following steps: S1: artificially magnetizing a to-be-tested structure, and measuring its MFLT signals {B}; S2: inverting magnetic charge distribution of the interior of the to-be-tested structure by using a magnetic charge distribution reconstruction algorithm to obtain the magnetic charge density of a non-defective region of the to-be-tested structure; and S3: using the magnetic charge density of the non-defective region of the to-be-tested structure as a known constant, and conducting inverse iteration to reconstruct defect depth of the defective region to obtain a 3D image of the defective region of the to-be-tested structure.

Abstract: The present disclosure relates to a gyro sensor calibration method based on vehicle velocity, which can extract a weighting factor in consideration of vehicle velocity, apply the extracted weighting factor to an extended Kalman filter, and accurately calibrate a gyro sensor in real time, in order to prevent accumulation of scale factor calibration errors, which may occurs as a turning radius is changed depending on vehicle velocity in a turning section, when a GNSS-based dead reckoning (DR) system calibrates a scale factor of the gyro sensor through the extended Kalman filter using GNSS information received in the turning section.

Abstract: A method, an electronic device, and a computer program product for calibrating a barometric pressure sensor in an electronic device. The method includes receiving, via a processor of an electronic device, first altitude data from a first wireless access point and triggering a barometric pressure sensor of the electronic device to transmit second altitude data. The method further includes receiving the second altitude data and determining a first difference between the first altitude data and the second altitude data. The method further incudes determining if the first difference is greater than an altitude difference threshold, and in response to determining that the first difference is greater than the altitude difference threshold, triggering the barometric pressure sensor to calibrate, based on the first altitude data.

Abstract: An apparatus for analyzing an element rotating at a rotational speed based on an vibration signal originating from the rotating element has: an analysis function processor for forming a plurality of analysis functions, the analysis function processor configured to form each analysis function based on an analysis frequency, on the vibration signal or on a measured or estimated rotational speed and on a predetermined order factor differing for each analysis function; a correlator configured to calculate a correlation result from the vibration signal and each analysis function, each correlation result being associated to the order factor which the analysis function, with which the correlation result was calculated, is based on, and the correlation results representing a correlation function; and an examiner configured for examining the correlation function or examining information derived from the correlation function so as to make a statement on a state of the rotating element.

Abstract: The diagnostic system for diagnosing a rotor imbalance of a wind turbine based on acceleration data measured on a nacelle of a wind turbine which is supported by a tower includes a measuring device provided with a triaxial vibration sensor suitable for measuring acceleration data corresponding to vibrations occurring on the nacelle. The system also includes a processing system for processing the acceleration data, suitable for determining the rotor imbalance according to the acceleration data measured on at least two axes on the nacelle. The invention also relates to a method for diagnosing the rotor imbalance of a wind turbine.

Abstract: Generating fault indications for an additive manufacturing machine based on a comparison of the outputs of multiple process models to measured sensor data. The method receiving sensor data from the additive manufacturing machine during manufacture of at least one part. Models are selected from a model database, each model generating expected sensor values for a defined condition. Difference values are computed between the received sensor data and an output of each of the models. A probability density function is computed, which defines, for each of the models, a likelihood that a given difference value corresponds to each respective model. A probabilistic rule is applied to determine, for each of the models, a probability that the corresponding model output matches the received sensor data. An indicator is output of a defined condition corresponding to a model having the highest match probability.

Abstract: A bridge detecting vehicle with two foldable arms, including: a vehicle body, slewing mechanisms, horizontal and vertical arms and telescopic arms. One end of the two horizontal arms is respectively arranged on the slewing mechanisms, and the other end of the two horizontal arms is respectively connected to the two horizontal arms. A crossed arm is provided between the two horizontal arms. The two vertical arms are respectively connected to the two horizontal arms via ball joints. A detecting device is respectively provided at rear ends of the two telescopic arms.

Abstract: An apparatus for processing multi-type sensor signals on the basis of multi-modal deep learning, the apparatus including: an individual sensor failure diagnosis unit configured to measure a normality of a sensor output of a single modal sensor at each sampling period, and sense an abnormal operation of the sensor on the basis of the measured normality; an inter-sensor mutual failure diagnosis unit including a multi-modal deep auto encoder, and configured to learn a correlation existing between multi-modalities, extract shared representation between modalities from multi-modal inputs on the basis of the learned correlation, and perform an inter-sensor mutual failure diagnosis; and a reconstruction target sensor output value reconstructing unit configured to, when an output value of a specific sensor is missing, predict and reconstruct the output value of the sensor using other sensor information using the shared representation extracted from other modal sensors.

Abstract: Various examples are directed to methods and system of managing a sensor. A measurement system may receive from the host device, a first register map describing a first configuration of the measurement system for the first sensor. The first configuration may indicate a first measurement frequency for the first sensor. The measurement system may configure a switch matrix to provide a first excitation signal to the first sensor. The measurement system may configure the switch matrix to connect an analog-to-digital converter (ADC) of the measurement system to the first sensor. The measurement system may sample a first raw sensor signal from the first sensor with the ADC at a first measurement frequency described by the first configuration. The measurement system may generate first digital measurement data based at least in part on the first raw sensor signal and send the first digital measurement data to the host device.