Patents Examined by Aeysha N Sultana
  • Patent number: 11454515
    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.
    Type: Grant
    Filed: December 26, 2017
    Date of Patent: September 27, 2022
    Assignee: HYUNDAI AUTOEVER CORP.
    Inventors: Myung Hwan Seo, Jeong Dong Min
  • Patent number: 11441897
    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.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: September 13, 2022
    Assignee: Motorola Mobility LLC
    Inventor: Ranjeet Gupta
  • Patent number: 11422052
    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.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: August 23, 2022
    Assignee: SEREEMA
    Inventors: Jerome Imbert, Bruno Pinto, Kevin Michel
  • Patent number: 11422063
    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.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: August 23, 2022
    Assignees: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V., Technische Universitaet Ilmenau
    Inventor: Peter Husar
  • Patent number: 11327870
    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.
    Type: Grant
    Filed: January 8, 2019
    Date of Patent: May 10, 2022
    Assignee: General Electric Company
    Inventors: Harry Kirk Mathews, Jr., Sarah Felix, Subhrajit Roychowdhury, Saikat Ray Majumder, Thomas Spears
  • Patent number: 11320338
    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.
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: May 3, 2022
    Assignee: Changsha University of Science and Technology
    Inventors: Minhui Chen, Lairong Yin, Hongwei Hu, Tianzan He, Cong Mao, Jinhang Wang, Dang Zhou, Anwei Jiang
  • Patent number: 11307064
    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.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: April 19, 2022
    Assignee: Industry-Academic Cooperation Foundation, Dankook University
    Inventors: Sang-Il Choi, Haanju Yoo
  • Patent number: 11280645
    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.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: March 22, 2022
    Assignee: Analog Devices International Unlimited Company
    Inventors: Claire Croke, Aine McCarthy, Adrian Sherry, Giovanni C. Dotta, Dan O'Donovan, Sean Wilson, Mary McCarthy, Colin G. Lyden, Fiona Treacy, Michael Byrne
  • Patent number: 11269007
    Abstract: A method for diagnosing a bias power supply for an acquisition system including a matrix-array interface device having conductive rows and columns, each row being connected to an input port and to a bias power supply, each column being selectively connected to ground by controlling an output port, and at each intersection either a circuit or a shunt, connected between the intersected row and the intersected column, including the following steps: controlling an output port so as to ground a shunt, reading the input port corresponding to the shunt, a low state indicating a normal presence of the power supply, a high state indicating an abnormal absence.
    Type: Grant
    Filed: November 23, 2017
    Date of Patent: March 8, 2022
    Inventors: Christophe Pradelles, Amar Lounnas, Jean-Claude Prouvoyeur
  • Patent number: 11255671
    Abstract: Apparatuses and methods are described for processing the sensor signal of a sensor component, a noise signal that is generated as a function of specific properties of an interference signal component of the sensor signal and/or of specific properties of a temperature signal of a temperature sensor being mixed into a useful signal component of the sensor signal.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: February 22, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Francesco Diazzi, Andrea Visconti, Ruslan Khalilyulin
  • Patent number: 11249052
    Abstract: A detection system 1 contains a sensing device 10 including a vibration unit 11 for applying vibration to the inspection target 100, the vibration unit 11 attached to the inspection target 100, a driving circuit 12 for supplying an electric signal to the vibration unit 11 for driving the vibration unit 11 and a sensor 13 for detecting vibration of the inspection target 100 caused by the vibration applied from the vibration unit 11; and a detection processing device 20 for receiving vibration information related to the vibration of the inspection target 100 detected by the sensor 13 from the sensing device 10 and detecting the state change of the inspection target 100 based on the vibration information. The vibration unit 11 includes a coil 112, a spring 113, and a magnet 114b.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: February 15, 2022
    Assignee: MITSUMI ELECTRIC CO., LTD.
    Inventors: Takahiko Irie, Shigenori Inamoto, Kenta Ueda
  • Patent number: 11238371
    Abstract: A computer system can be configured to: receive, in a low-precision mode, first status data generated by one or more sensors, the first status data reflecting technical parameters of a technical system, the first status data exhibiting a first precision level; apply a low-precision machine learning model to analyze the first status data for one or more indicators of an abnormal technical status, the machine learning model having been trained with data exhibiting the first precision level; send, based on an abnormal technical status being indicated, instructions for the one or more sensors to generate second status data exhibiting a second precision level, the second precision level being associated with greater accuracy than the first precision level; receive the second status data exhibiting the second precision level based on the sent instructions; providing the second status data to a data analyzer.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: February 1, 2022
    Assignee: ABB Schweiz AG
    Inventors: Benjamin Kloepper, Benedikt Schmidt, Mohamed-Zied Ouertani
  • Patent number: 11231517
    Abstract: A method for geosteering while drilling a well in a subterranean formation using a downhole assembly having a toolface comprises measuring at least one motion-related downhole parameter relative to the toolface angle so as to generate azimuthally-associated data, using the azimuthally-associated data to assess formation anisotropy, and using the anisotropy assessment to manually or automatically steer a well while drilling the well. The motion-related downhole parameter may relate to motion of an asymmetric bit or bent housing or bent housing section.
    Type: Grant
    Filed: October 16, 2018
    Date of Patent: January 25, 2022
    Assignee: SANVEAN TECHNOLOGIES LLC
    Inventors: Junichi Sugiura, Stephen Jones
  • Patent number: 11226323
    Abstract: A computer implemented method, computer system, and computer program product are provided for air-pollution emission source monitoring. To determine the air-pollution emission of a monitored area, location data and air pollution data are taken from sensor stations positioned along a boundary of the monitored area. The macroscale atmospheric data of a region, where the monitored area is located, is also received. A boundary pollutant distribution can be estimated based on the location data and the air pollution data. Horizontal diffusion and vertical diffusion of the monitored area can be estimated based on the boundary pollutant distribution and the macroscale atmospheric data. To determine an accurate amount of pollution contribution caused by a monitored area, a calculation based on the boundary pollutant distribution, the horizontal diffusion, and the vertical diffusion can be used.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: January 18, 2022
    Assignee: International Business Machines Corporation
    Inventors: Yu Tao Ba, Gang Zhou, Lingyun Wang, Wei Zhao, Ming Xie, Ke Xu Zou, Xiao Guang Rui
  • Patent number: 11199505
    Abstract: A method for machine learning enhanced optical-based screening for in-line wafer testing includes receiving optical spectra data for a wafer-under-test by performing scatterometry on the wafer-under-test, performing predictive model screening by applying a predictive model based on the optical spectra data, determining whether a device associated with the wafer-under-test is defective based on the predictive model screening, and if the device is determined to be defective, dynamically modifying a yield map associated with the wafer-under-test, including reassigning at least one die.
    Type: Grant
    Filed: August 23, 2018
    Date of Patent: December 14, 2021
    Assignee: International Business Machines Corporation
    Inventors: Robin Hsin Kuo Chao, Mary Breton, Huai Huang, Dexin Kong, Lawrence A. Clevenger
  • Patent number: 11193979
    Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: December 7, 2021
    Assignees: Feasible, Inc., The Trustees of Princeton University
    Inventors: Daniel A. Steingart, Greg Davies, Shaurjo Biswas, Andrew G. Hsieh, Barry Van Tassell, Thomas Hodson, Shan Dou
  • Patent number: 11187719
    Abstract: Techniques provided herein are directed toward addressing these and other issues by providing robust means for initializing an accelerometer that can take place even while a vehicle is in motion. Specifically, linear acceleration and velocity data can be estimated from wheel speeds, and angular velocity can be estimated with a gyroscope. The vehicle's acceleration can then be computed from these estimates, and subtracted from a total acceleration measured by the accelerometer to determine gravitational acceleration, which can then be accounted for in subsequent measurements taken by the accelerometer. A vehicle velocity may also be determined based on the vehicle's estimated angular velocity and linear velocity. Embodiments may also employ techniques for translating measurements taken in one coordinate frame to another coordinate frame for estimate determination and/or outlier compensation.
    Type: Grant
    Filed: January 8, 2019
    Date of Patent: November 30, 2021
    Assignee: QUALCOMM Incorporated
    Inventors: Libin Jiang, Urs Niesen, Jubin Jose
  • Patent number: 11181897
    Abstract: A damage probability calculation device which calculates a damage probability in an evaluation target region of a gas turbine computes strength distributions including a mean, a standard deviation and a certainty factor of the strength of a material used for the evaluation target region with respect to stresses on the basis of strength test data of the material. In addition, the damage probability calculation device computes stress distributions including the mean, the standard deviation and the certainty factor of stresses input to the evaluation target region on the basis of operation data of the gas turbine acquired through a sensor. Further, the damage probability calculation device computes damage probability distributions indicating distributions of damage probabilities of the evaluation target region on the basis of the strength distributions and the stress distributions.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: November 23, 2021
    Assignee: MITSUBISHI HEAVY INDUSTRIES, LTD.
    Inventors: Yoshitomo Miyagi, Toshinobu Ohara, Hideaki Kaneko
  • Patent number: 11183304
    Abstract: A method and system for preventing falls and accidents is provided comprising. A user's location and movement are monitored by a number of input devices. The user's activities are also monitored by a number of input devices. Potential dangers are identified within a first specified proximity of the user, and a determination is made if the user's current activity indicates a cognitive load that exceeds a predefined threshold. In response to identification of a potential danger within the first specified proximity and a concurrent determination that the user's cognitive load exceeds the threshold, a number of devices within a second specified proximity of the user are activated to alert the user of the potential danger.
    Type: Grant
    Filed: January 8, 2019
    Date of Patent: November 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Nadiya Kochura, Donna K. Byron, Fang Lu, Vibha Anand
  • Patent number: 11169190
    Abstract: An Empirical Mode Decomposition (EMD)-based noise estimation process is disclosed herein that allows for blind estimations of noise power for a given signal under test. The EMD-based noise estimation process is non-parametric and adaptive to a signal, which allows the EMD-based noise estimation process to operate without necessarily having a priori knowledge about the received signal. Existing approaches to spectrum sensing such as Energy Detector (ED) and Maximum Eigenvalue Detector (MED), for example, may be modified to utilize a EMD-based noise estimation process consistent with the present disclosure to shift the same from semi-blind category to fully-blind category.
    Type: Grant
    Filed: September 19, 2017
    Date of Patent: November 9, 2021
    Assignee: THE UNIVERSITY OF NEW HAMPSHIRE
    Inventors: Mahdi H. Al-Badrawi, Nicholas J. Kirsch, Bessam Z. Al-Jewad