Abstract: A method for monitoring a rotating equipment through a condition monitoring device is performed in every predetermined time period after every predetermined time interval. The method comprises detecting presence of vibration in rotating equipment based on a signal associated with vibration in the rotating equipment. The signal is measured with one or more sensors of the plurality of sensors. Upon detecting presence of vibration, a predefined number of samples associated with the vibration is acquired at a first frequency. A Root Mean Square (RMS) value of vibration is calculated using predefined number of samples. The calculated RMS value of vibration is compared with a reference value for detecting an operating status, which is stored for every predetermined time interval. Thereafter, the method comprises processing the stored information to assess a condition of the rotating equipment.

Abstract: Provided herein are systems and methods for generating reservoir models including the SOC nature of the Earth's crust. The methods employ seismic emission tomography (SET) to generate three dimensional models of a formation providing permeability without the need for traditional reservoir modeling techniques and allowing for the identification of naturally-occurring permeability pathways that provide accurate and precise locations for the efficient recovery of hydrocarbons or other fluids.

Abstract: An irregular seismic data collection method is based on forward modeling. The method includes: fully collecting geological information of a work area to build a geological model, determining arrangement parameters of receiver points and shot points for regular high-density collection and irregular sparse collection, performing irregular optimization design on positions of the shot points based on forward modeling, performing irregular optimization design on positions of the receiver points based on forward modeling, and outputting a preferred irregular sparse observation system.

Abstract: A method for determining ambient temperature of a device in a building control system. The method includes obtaining a measurement of ambient temperature from a first temperature sensor of the device and obtaining a measurement of temperature of a processing circuit of the device. These temperature measurements along with a brightness level of a display of the device and a state of a relay of the device are provided as input to a neural network. The neural network is trained to recognize these inputs in order to more accurately determine the ambient temperature of the device. The reading from the first temperature sensor may otherwise be inaccurate due to heat generated by electronic components of the device.

Abstract: Methods and assemblies may be used for determining and using standardized spectral responses for calibration of spectroscopic analyzers. The methods and assemblies may be used to calibrate or recalibrate a spectroscopic analyzer when the spectroscopic analyzer changes from a first state to a second state, the second state being defined as a period of time after a change to the spectroscopic analyzer causing a need to calibrate or recalibrate the spectroscopic analyzer. The calibration or recalibration may result in the spectroscopic analyzer outputting a standardized spectrum, such that the spectroscopic analyzer outputs a corrected material spectrum for an analyzed material, and defining the standardized spectrum. The corrected material spectrum may include signals indicative of material properties of an analyzed material, the material properties of the material being substantially consistent with material properties of the material output by the spectroscopic analyzer in the first state.

Abstract: A method and apparatus for estimating electromagnetic forces active in an electric machine. The method includes the steps of: measuring at least one first operation parameter of the electric machine while the electric machine is operated under at least one operational condition, and estimating electromagnetic forces active in an electric machine during operation of the electric machine by multiplying the measured at least one first operation parameter and a respective second operation parameter provided by a stored structural/vibro-acoustic model.

Abstract: A system for inspecting or screening electrically powered device includes a signal generator inputting a preselected signal into the electrically powered device. There is also an antenna array positioned at a pre-determined distance above the electrically powered device. Apparatus collects RF energy emitted by the electrically powered device in response to input of said preselected signal. The signature of the collected RF energy is compared with an RF energy signature of a genuine part. The comparison determines one of a genuine or counterfeit condition of the electrically powered device.

Abstract: Methods and systems for determining an image of a subterranean region of interest are disclosed. The method includes obtaining a seismic dataset and a geological dip model for the subterranean region of interest and determining a set of input seismic gathers from the seismic dataset. The method further includes determining a central seismic gather and a set of neighboring seismic gathers in a vicinity of the central seismic gather from the set of seismic gathers, determining a set of dip-corrected neighboring seismic gathers based, at least in part, on the set of neighboring seismic gathers and a geological dip from the geological dip model, and determining a noise-attenuated central seismic gather by combining the dip-corrected neighboring seismic gathers and the central seismic gather. The method still further includes forming the image of the subterranean region of interest based, at least in part, on the noise-attenuated central seismic gather.

Abstract: A method is claimed for automatically transforming sonic well logs from a depth domain to a seismic two-way travel-time domain. The method includes obtaining a training well with a measured sonic well log in the depth domain and a borehole seismic dataset in the depth domain and obtaining an application well with only a measured sonic well log in the depth domain. The method further includes training a network to predict a transformed sonic well log for the training well based, at least in part, on the measured sonic well log and the borehole seismic dataset in the training well, and predicting with the network, the transformed sonic well log in the application well.

Abstract: Methods and systems are disclosed for updating a seismic velocity model of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset, wherein each dataset is composed of a plurality of seismic traces. The method further includes determining a transformed observed seismic dataset and a transformed simulated seismic dataset by determining the instantaneous frequency of at least one member of the plurality of observed seismic traces; and at least one member of the plurality of simulated seismic traces. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset and determining an updated seismic velocity model based on an extremum of the objective function.

Abstract: A method is described for estimating seismic velocity from seismic data by training a neural network using a subset of a seismic dataset and the velocity model; estimating a second velocity model using the neural network and a second subset of the seismic dataset; and displaying the second velocity model on a graphical user interface. The method may be executed by a computer system.

Abstract: The invention compensates for abnormal operating temperatures and/or abnormal behaviors of a holographic metasurface antenna (HMA) that is generating a beam based on a holographic function. The HMA is characterized with different holographic functions for a plurality of operating temperatures and a plurality of behaviors during the manufacturing process. The characterization of the HMA identifies different hologram functions that cause the HMA to generate more or less heat or exhibit more or less abnormal behavior while generating equivalent beams. Further, or more characterizations of a hologram function may be performed remotely after the HMA is installed in a real world environment. An operating temperature and/or a temperature gradient may be detected by temperature sensors physically located on a circuit board for the HMA.

Abstract: Methods and assemblies may be used for determining and using standardized spectral responses for calibration of spectroscopic analyzers. The methods and assemblies may be used to calibrate or recalibrate a spectroscopic analyzer when the spectroscopic analyzer changes from a first state to a second state, the second state being defined as a period of time after a change to the spectroscopic analyzer causing a need to calibrate or recalibrate the spectroscopic analyzer. The calibration or recalibration may result in the spectroscopic analyzer outputting a standardized spectrum, such that the spectroscopic analyzer outputs a corrected material spectrum for an analyzed material, and defining the standardized spectrum. The corrected material spectrum may include signals indicative of material properties of an analyzed material, the material properties of the material being substantially consistent with material properties of the material output by the spectroscopic analyzer in the first state.

Abstract: A method of testing a device comprises receiving signals from a device under test (DUT) and computing an eye diagram using the signals received from the DUT. The method also comprises comparing an eye height and an eye width of the eye diagram to a predetermined values of a threshold eye height and a threshold eye width. Further, responsive to a determination of the eye height and the eye width exceeding the predetermined values of the threshold eye height and the threshold eye width, flagging the DUT as passing.

Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: Determination of Ground Thermal Conductivity (TC) in the field of Geothermal Heat Pumps (GHPs). The invention provides a simple mathematical approach using minimal terms with apparatus not dependent on stable electric power generation.

Abstract: In some examples, a computer-readable medium stores executable code which, when executed by a processor, causes the processor to obtain a threshold pulse rate that is based on an average pulse rate of a gamma radiation detector tool and on a desired probability that the threshold pulse rate will not be exceeded by the gamma radiation detector tool. The code also causes the processor to identify instances of pulse from the gamma radiation detector tool that do not exceed the threshold pulse rate, and output an indication of the identified instances of pulses for use in a measurement-while-drilling application.

Abstract: A vibration analysis apparatus includes: a storage unit storing a regression equation indicating correspondence between rotation speed change of a rotation mechanism and a peak occurrence frequency of acceleration of vibration, for each acceleration peak; an analysis unit extracting a peak occurrence frequency of acceleration of vibration for each acceleration peak, based on vibration data of the rotation mechanism and calculating, for each acceleration peak, a waveform area of the acceleration peak by integrating the acceleration peak over a specific frequency section; and an anomaly determination unit determining whether operational anomaly occurs in the rotation mechanism for each acceleration peak.

Abstract: A method of calculating a time difference is disclosed. The method includes sampling a first ultrasonic signal (r21) to produce a first sampled signal (y1(i)) and sampling a second ultrasonic signal (r12) to produce a second sampled signal (y2(i)). A first time (LEAD_LAG) is determined between a time the first sampled signal crosses a threshold (?1) and a time the second sampled signal crosses the threshold. The first sampled signal is cross correlated with the second sampled signal to produce a second time (SAMP_OFFSET). The time difference is calculated in response to the first and second times.

Abstract: A permutation that optimizes correspondence between the seismic data and the simulated data is computed using a graph space optimal transport formulation-based misfit. The seismic data or simulated data are transformed into auxiliary data by applying a portion of time shifts computed from the optimal permutation before updating the structural model of the explored underground formation. The full-waveform inversion minimization of the distance between auxiliary data and the seismic data or simulated data to which partial time shifts have not been applied, may be embedded in a Kantorovich-Rubinstein norm.