Abstract: A method with battery state estimation may include: generating a plurality of electrochemical-thermal (ECT) models corresponding to modeling conditions based on an arbitrary parameter of an ECT model configured to perform modeling of a battery; determining a target parameter of the ECT model based on an error between an actual state of the battery and a model-derived state of the battery obtained by a parallel operation of the plurality of ECT models; and estimating a state of the battery based on the target parameter.

Abstract: An Artificial Intelligence/Machine Learning driven assessment system for monitoring electrical equipment assets includes a computer system that is configured to receive user-provided asset data associated with operation of a plurality of electrical equipment assets operated by a plurality of users/owners, where the identity of any asset in the database is restricted and only known to the user that owns/operates the asset. The computer system is configured to analyze the user data in conjunction with a pooled knowledge database so as to generate courses of action or assessments for the monitored electrical equipment assets and to update the analysis process based on feedback from a comparison of the assessment or course of action with an actual outcome.

Abstract: Method for monitoring a stable convergence behaviour of a Kalman filter (KF), which estimates states and/or parameters of an energy storage system, in particular a battery cell (BZ), wherein a covariance behaviour—provided by the Kalman filter (KF)—in terms of at least one state and/or parameter of the energy storage system is compared with a corresponding desired covariance behaviour of the state and/or parameter, wherein the Kalman filter (KF) is automatically deactivated for each state and/or each parameter of the energy storage system, of which the covariance behaviour exceeds the corresponding desired covariance behaviour.

Abstract: A method can include receiving microseismic data of microseismic events as acquired by sensors during hydraulic fracturing of a geologic region; jointly calibrating sensor orientation of the sensors and a velocity model of the geologic region via an objective function and the microseismic data; and, based at least in part on the jointly calibrating, determining one or more locations of the one or more microseismic events.

Abstract: A chromatographic data system processing apparatus performs data processing based on plot data measured by a chromatograph. The chromatographic data system processing apparatus includes a virtual curve calculation portion which obtains a virtual curve based on the measured plot data, a tentative feature point acquisition portion which obtains a tentative feature point based on the obtained virtual curve, and an actual plot data feature point extraction portion which extracts an actual plot data feature point corresponding to the tentative feature point from the measured plot data.

Abstract: An interval observer based on an equivalent circuit-thermal model for lithium-ion batteries is presented. State of charge-temperature-dependent parameters are considered as unknown but bounded uncertainties in a single cell model. A parallel and a series arrangement of five cells are used for observer design, where cell heterogeneity is accounted for through the uncertainty bounding functions.

Abstract: A method for detecting performance of a roll-to-roll device for processing flexible material comprises: obtaining a first fuzzy prototype and a second fuzzy prototype according to vibration data of all rollers working in a normal state; collecting the vibration data of all the rollers at a target time period, and extracting a second root mean square value and a second kurtosis value of the actual vibration data; and calculating membership degree functions of the second root mean square value, the second kurtosis value, the first fuzzy prototype and the second fuzzy prototype, and determining a performance state of a roll-to-roll device for processing flexible material within the target time period according to the membership degree functions. The method can accurately assess the performance of the roll-to-roll device for processing flexible material, so as to prevent the roll-to-roll device for processing flexible material from failing.

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

Abstract: A network of motion sensors employs sensitive accelerometers to issue time-domain measurements of building movement from multiple locations within and between buildings and other structures. The time-domain measurements from the various motion sensors are synchronized and converted into frequency-domain measurements of building movement. Individual motion sensors can be equipped with the requisite processor and memory to synchronize and covert the time-domain measurements. The motions sensors can classify detected events into various event types, such as earthquakes, wind events, or bipedal locomotion. The sensors can also communicate with one another or other resources to calculate event probabilities. A motion sensor may, for example, receive an earthquake-verification signal responsive to an earthquake-verification request. The network of motion sensors can calculate local soil stiffness and financial loss estimations responsive to their individual or collective frequency-domain measurements.

Abstract: An apparatus for diagnosing a battery includes a sensing unit configured to measure a potential and a current of a battery, and a processor configured to estimate a capacity of the battery based on the current measured by the sensing unit, detect inflection points in potential-capacity data in which the potential and the estimated capacity are mapped with each other, estimate an electrode potential of each inflection point, calculate a potential difference between each estimated electrode potential and a reference electrode potential, diagnose a change of at least one of an active material area, a depth of charge and a depth of discharge of an electrode of the battery based on an increase or decrease pattern of the plurality of calculated potential differences, and determine a mode of the battery as a normal mode or a failure mode based on the diagnosis result.

Abstract: Methods and systems for system maintenance include identifying patterns in heterogeneous logs. Predictive features are extracted from a set of input logs based on the identified patterns. It is determined that the predictive features indicate a future system failure using a first model. A second model is trained, based on a target sample from the predictive features and based on weights associated with a distance between the target sample and a set of samples from the predictive features, to identify one or more parameters of the second model associated with the future system failure. A system maintenance action is performed in accordance with the identified one or more parameters.

Abstract: Techniques, including systems and methods for monitoring a rotating equipment, are provided. A sensor that is in proximity of the rotating equipment senses vibrations of the rotating equipment. The sensor generates a digital signal corresponding to the vibrations of the rotating equipment and transmits the digital signal over a communication network. A server receives the digital signal and pre-processes the digital signal using ensemble empirical mean decomposition (EEMD) technique. The server processes the digital signal using wavelet neural network (WNN) to detect faults in the rotating equipment. Further, the server processes the digital signal using the wavelet neural network to predict remaining useful life (RUL) of the rotating equipment.

Abstract: A method for obtaining fast neutron and gamma ray quantities in an unknown neutron and gamma ray mixed field. The method is comprised of (1) a radiation detector capable of measuring neutrons and gamma rays, (2) identification of the neutron and the gamma ray interactions based on digital pulse shape analysis, (3) formation of a pulse height (or pulse area) histogram for both neutron and gamma ray events, (4) conversion of the neutron and gamma ray pulse height (or pulse area) histogram into a quantity of interest such as count rate, energy spectra, kerma, absorbed dose, and dose equivalent, for both instantaneous and integral readings, and (5) steps (2-4) occurring in real-time.

Abstract: Various implementations described herein are directed to a method for surveying a wellbore. A statistical estimation process that combines magnetic survey measurement data and gyroscopic survey measurement data to form error estimates in a magnetic survey system is applied. The error estimates are used to correct magnetic survey data provided by the magnetic survey system. Magnetic only survey data is used when convergence of the error estimates has occurred. Information that facilitates drilling the wellbore is provided.

Abstract: Provided is an analysis apparatus including an acquisition unit that acquires vibration data showing a vibration generated in a first object by having a second object come into contact with a first position on the first object, a first analysis processing unit that specifies the first position by comparing a vibration characteristic shown by the vibration data, and a vibration characteristic defined for each position where the second object may come into contact with the first object, and a second analysis processing unit that estimates a velocity after the contact of the second object based on a velocity of the first object and the first position.

Abstract: An apparatus for diagnosing a battery includes a sensing unit configured to measure a potential and a current of a battery, and a processor configured to estimate a capacity of the battery based on the current measured by the sensing unit, detect inflection points in potential-capacity data in which the potential and the estimated capacity are mapped with each other, estimate an electrode potential of each inflection point, calculate a potential difference between each estimated electrode potential and a reference electrode potential, diagnose a change of at least one of an active material area, a depth of charge and a depth of discharge of an electrode of the battery based on an increase or decrease pattern of the plurality of calculated potential differences, and determine a mode of the battery as a normal mode or a failure mode based on the diagnosis result.

Abstract: Systems, methods, and computer-readable medium for generating a three-dimensional fracture network model are provided. The method can include receiving reflected acoustic signal measurements acquired in response to emission of acoustic waves by one or more sensors disposed in a wellbore formed within a target region. Each reflected acoustic signal measurement represents a strength of a reflected acoustic wave as a function of time measured in at least one predetermined direction oriented with respect to an axis of the wellbore. A fracture extension estimate is generated for each of the reflected acoustic signal measurements. A three-dimensional fracture network model is generated corresponding to the fracture extension estimates generated for each of the plurality of reflected acoustic measurements. The generated fracture network model is output for display or use in modeling environments.

Abstract: Device (1) and method for detecting battery cell states, BZZ, and/or battery cell parameters, BZP, of at least one battery cell (BZ), comprising a dual Kalman filter (2) which includes a state estimator (2A) for estimating battery cell states, BZZ, and a parameter estimator (2B) for estimating battery cell parameters, BZP, and comprising a determination unit (3) which is suitable for determining noise components (n, v) of the state estimator (2A) and of the parameter estimator (2B) on the basis of a stored characteristic parameter behaviour of the battery cell (BZ), wherein the battery cell states, BZZ, and the battery cell parameters, BZP, can be adapted automatically to a specified battery model (BM) of the battery cell (BZ) by means of the dual Kalman filter (2) on the basis of the noise components (n, v) determined by the determination unit.

Abstract: A system for optimal power utilization and supply strategy in a microgrid has a smart meter connected to a micro grid, at least one micro electricity manager connected to the smart meter, at least one wireless switch board connected to the micro electricity manager, and at least one intelligent device connected to said micro electricity manager. The system for optimal power utilization and supply strategy is configured as a cyber-physical system capable of dynamic energy management to minimize mismatch between electricity demand and generation.

Abstract: A Petri net that corresponds to the mathematical model is determined and the Petri net includes the domination relationships and mutual dependency relationships between individual alarms. The Petri net is analyzed to determine a set of construction rules. The construction rules define an approach to reduce the number of alarms presented to an operator or a computer program.