Patent classifications
G01R1/00
Method for detecting soft faults in a cable by data fusion
A method for detecting soft faults in a transmission line includes the following steps: acquiring a measurement, called time-domain reflectogram, of a signal characteristic of the reflection of a reference signal previously injected into the line, determining the difference between the time-domain reflectogram and a time-domain reflectogram measured previously for the same line or an identical line of similar characteristics, in order to obtain a corrected time-domain reflectogram, applying a plurality of independent transformations to the corrected time-domain reflectogram in order to obtain a plurality of independent transformed reflectograms, converting the transformed reflectograms into a plurality of mutually independent probabilities of occurrence of a fault, applying a data merging method to the probabilities of occurrence of a fault to deduce therefrom a unified value of the probability of occurrence of a fault.
DEVICE AND METHOD FOR FREQUENCY ANALYSIS OF A SIGNAL
The invention relates to a device for the frequency analysis of a signal, comprising a diamond crystal having NV centers defining sub-regions, an excitation unit for optically or electrically exciting each sub-region, an injection unit for injecting a signal so that the sub-region is in the presence of the signal, a magnetic field generator designed so as to generate a magnetic field on each sub-region, the magnetic field having a spatial variation of amplitude in a first direction, and a detector for detecting the resonance frequency of each sub-region of the region, the detector comprising an electrical contact for detecting the charges created in a sub-region, and a reading circuit.
Non-parametric statistical behavioral identification ecosystem for electricity fraud detection
Embodiments of the disclosure are directed towards electricity fraud detection systems that involve a behavioral detection ecosystem to improve the detection rate of electricity fraud while reducing the rate of false-positives. More specifically, machine learning algorithms are eschewed in favor of two separate models that are applied sequentially. The first model is directed to improving the detection rate of electricity fraud through the use of detectors to identify customers engaging in suspicious behavior based on the demand profiles of those customers. The second model is directed to reducing the rate of false-positives by identifying potential legitimate explanations for any suspicious behavior. Subtracting away the suspicious behavior with legitimate explanations leaves only the identified, unexplained suspicious behavior that is highly likely to be associated with fraudulent activity.
Magnetic resonance fingerprinting (MRF) with efficient acquisition schemes
Example apparatus and methods improve magnetic resonance fingerprinting (MRF) by performing MRF with optimized spatial encoding, parallel imaging, and utilization of field inhomogeneities. Multi-echo radial trajectories and spiral trajectories may acquire data according to sampling schemes based on models of charge distribution on a sphere. Non-uniform sampling schemes may account for differences in detector coil performance. Field inhomogeneities provide spatial information that enhances the spatial separation of an MRF signal and facilitates unaliasing pixels. The field inhomogeneity may be manipulated. An MRF pulse sequence may include frequency selective RF pulses that are determined by the field inhomogeneities. Inhomogeneities combined with selective RF pulses result in higher acquisition efficiency.
System for in-line inspection using a dynamic pulsed eddy current probe and method thereof
The present invention provides methods and systems for in-line inspection of a pipe using a dynamic pulsed eddy current probe system that includes of a remote computer, a dynamic pulsed eddy current probe, a data acquisition system, and a delivery apparatus used for nondestructive examination of pipelines.
Method and apparatus for detecting an energized e-field
A method for detecting the presence of an energized e-field in a space, wherein the space includes at least one electrically conductive element disposed in the space and coupled with a controller, the method including receiving in the controller a signal from the at least one electrically conductive element, determining that an energized e-field occupies the space, and generating an indication, by the controller, indicative of the presence of the energized e-field in the space.
Method and apparatus for detecting an energized e-field
A method for detecting the presence of an energized e-field in a space, wherein the space includes at least one electrically conductive element disposed in the space and coupled with a controller, the method including receiving in the controller a signal from the at least one electrically conductive element, determining that an energized e-field occupies the space, and generating an indication, by the controller, indicative of the presence of the energized e-field in the space.
DISTORTION CORRECTION FOR TRACKING AN OBJECT IN A MAGNETIC FIELD
A system is configured to model a magnetic field by measuring a first value for characteristics of a magnetic field at a first position in the magnetic field. The system measures a second value characteristics of the magnetic field at a second position in the magnetic field. The system determines a distance between the first position and the second position. The system estimates a distortion component of the magnetic field at approximately the second position in the magnetic field based on each of the distance, the first value for each of the one or more characteristics, and the second value for each of the one or more characteristics. The system outputs a model of at least a region of the magnetic field.
MULTILEVEL TRIGGERING SYSTEM FOR OUTPUTTING COMPLEX TRIGGER SIGNAL
A multilevel triggering system includes a trigger block library configured to store multiple triggering function modules for performing triggering functions to detect corresponding triggering conditions, respectively; and a triggering matrix including multiple triggering levels, each triggering level being configurable to include one or more trigger blocks and each trigger block being configurable to implement a triggering function module of the multiple triggering function modules, each trigger block generating a corresponding block trigger when the corresponding triggering condition of the triggering function module implemented by the trigger block is detected in a portion of an input signal. Each triggering level is configured to generate a corresponding level trigger when each of the one or more trigger blocks in the triggering level generates the corresponding block trigger. The triggering matrix is configured to generate a complex trigger signal when the triggering levels generate corresponding level triggers.
MULTILEVEL TRIGGERING SYSTEM FOR OUTPUTTING COMPLEX TRIGGER SIGNAL
A multilevel triggering system includes a trigger block library configured to store multiple triggering function modules for performing triggering functions to detect corresponding triggering conditions, respectively; and a triggering matrix including multiple triggering levels, each triggering level being configurable to include one or more trigger blocks and each trigger block being configurable to implement a triggering function module of the multiple triggering function modules, each trigger block generating a corresponding block trigger when the corresponding triggering condition of the triggering function module implemented by the trigger block is detected in a portion of an input signal. Each triggering level is configured to generate a corresponding level trigger when each of the one or more trigger blocks in the triggering level generates the corresponding block trigger. The triggering matrix is configured to generate a complex trigger signal when the triggering levels generate corresponding level triggers.