Abstract: A transformer monitoring apparatus based on non-electricity comprehensive characteristic information includes a transient oil pressure characteristic measuring module, a transient oil flow characteristic measuring module, a transient acceleration characteristic measuring module, a signal conditioning and acquiring module, and a digital processing and analyzing module; the transient oil pressure characteristic measuring module, the transient oil flow characteristic measuring module, and the transient acceleration characteristic measuring module are each connected to the signal conditioning and acquiring module, and the signal conditioning and acquiring module is connected to the digital processing and analyzing module. A transformer monitoring method based on non-electricity comprehensive characteristic information is also provided.

Abstract: A method and associated system, includes implementing a controller, configured to communicate, over a communication network, with a plurality of highly-versatile field devices coupled to the controller. The method and system also include configuring the network to facilitate communication of traffic over an advanced physical layer (APL) medium. One or more APL power switches are configured to provide connectivity to other devices and each includes a power supply to provide power via the medium. One or more APL field switches, each receiving power from a power switch, are configured to distribute both communication signals and power signals to field devices communicatively coupled to a respective field switch.

Abstract: To generate a setpoint signal to stroke a valve during a partial-stroke test, a first target is determined for the setpoint signal based at least on a travel displacement threshold, the travel displacement threshold corresponding to a desired extent of travel of the valve during the partial-stroke test; the setpoint signal is ramped from an initial value to the first target, during a first time interval; subsequently to the first time interval, the setpoint signal is maintained at the first target during a second time interval; a second target is determined for the setpoint signal based at least on the initial value; and during a third time interval subsequent to the second interval, the setpoint signal is ramped from the first target to the second target in a direction opposite to the ramping of the setpoint signal during the first time interval.

Abstract: Disclosed herein is a velocity measuring device to be used in a moving frame to determine the velocity of the moving frame. At least one beam of light is emitted from a site in the moving frame and travels to a mirror disposed in the moving frame and back to the site at which the emission occurred, after which the beam is detected by a light beam detector. By measuring the round trip time of the light beam from emission to detection, a factor gamma can be determined from which the velocity of the moving frame can be computed.

Abstract: To prevent a delay in detection of a fault and the like and to cut down a load on a management side while making transmission of data appropriate in consideration of importance and properties of each type of the data in a case in which a large amount of data is transmitted from management target apparatuses. Items with high priority are processed first, and items with a low priority are allowed to be thinned out in accordance with priority and a weight that a management system 10 defines for each data item, thereby reducing a load. The thinning out is performed by limiting the number of data items to be processed once in accordance with a load level. Data acquisition intervals and priority for each item are dynamically changed by reflecting the importance of the data of each item and a change thereof. Trends of data and the like distributed using telemetry are observed and are fed back to load control through control using an AI or a rule base.

Abstract: A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

Abstract: Disclosed is an assembly for a dosing system of a spreader machine for distributing a granular material or the like, which comprises first and second members provided with first and second openings, respectively, and an actuator connected to at least one of the first and second members and configured to provide a driving force between the first and second members, thereby, adjusting an opening size of a dosing opening provided by an overlapping area between the first and second openings. The first and second members are moveable by relative movement into a first position providing the dosing opening with a first opening size and a second position, different from the first position, providing the dosing opening with a second opening size different from the first opening size, wherein a center portion of the dosing opening is locally fixed when the members are moved between the first and second positions.

Abstract: Continuous microfluidic dilatometry devices and methods are provided for activity monitoring with ultra-high sensitivity. Corner flow in capillary channels is used to detect the resistance change in microfluidic circuits filled with ionic liquids. The conversion of mechanical input (e.g. strain) to an intermediary domain, namely liquid displacement, allows a large enhancement in sensor performance. Embodiments are suitable for tracking skin deformations that occur as a result of human movements.

Abstract: A dimension tolerance determining method and a system are disclosed. The method includes: determining initial tolerances of parts in assembled product; generating a plurality of tolerance data sets according to initial tolerances of parts, each tolerance data set containing a calculated part tolerance of each part; inputting the plurality of tolerance data sets into a key parameter generation module to generate a plurality of key parameters corresponding to the assembled product, wherein each key parameter corresponds to one tolerance data set; when the key parameters are located within a design range, calculating a plurality of assembly yield rates based on the tolerance data sets corresponding to the key parameters located within the design range; and selecting the tolerance data set corresponding to one of the assembly yield rates as the tolerances of the parts in the assembled product; wherein the key parameter generation module includes a neural network model.

Abstract: A method for predicting end-of-life for a component includes determining a baseline lifetime model for a component connected to a machine functional safety system. The component is part of a system with physical devices. The method includes monitoring environmental conditions and usage conditions of the component and modifying the baseline lifetime model based on the monitored environmental and usage conditions to produce a modified lifetime model for the component. The method includes tracking a lifetime progress of the component with respect to the modified lifetime model and sending an alert in response to lifetime progress of the component reaching a lifetime threshold associated with the modified lifetime model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learning estimation networks in a communications system. One of the methods includes: processing first information with ground truth information to generate a first RF signal by altering the first information by channel impairment having at least one channel effect, using a receiver to process the first RF signal to generate second information, training a machine-learning estimation network based on a network architecture, the second information, and the ground truth information, receiving by the receiver a second RF signal transmitted through a communication channel including the at least one channel effect, inferring by the trained estimation network the receiver to estimate an offset of the second RF signal caused by the at least one channel effect, and correcting the offset of the RF signal with the estimated offset to obtain a recovered RF signal.

Abstract: Disclosed is a novel type of computing apparatus which is integrated within a buoy that obtains the energy required to power its computing operations from waves that travel across the surface of the body of water on which the buoy floats. Additionally, these self-powered computing buoys utilize their close proximity to a body of water in order to significantly lower the cost and complexity of cooling their computing circuits. Computing tasks of an arbitrary nature are supported, as is the incorporation and/or utilization of computing circuits specialized for the execution of specific types of computing tasks. And, each buoy's receipt of a computational task, and its return of a computational result, may be accomplished through the transmission of data across satellite links, fiber optic cables, LAN cables, radio, modulated light, microwaves, and/or any other channel, link, connection, and/or network.

Abstract: A method for ranking thermal reactivities for kinetics assignment in basin modeling may include obtaining information relating to various source rock samples. The method may include determining thermal reactivities of source rocks corresponding to the various source rock samples. The source rocks are at a same level of thermal maturity in an area of interest. The method may include ranking the thermal reactivities at different thermal maturities. The method includes comparing published, archived and measured kinetic parameters of source rocks in the area of interest. The method may include sorting kinetic parameters in organofacies of a source rock formation in terms of reactivity and maturity. The method may include assigning kinetic parameters derived from an immature source rock unit to mature source rock units in a source rock formation in a sedimentary basin. The method may include evaluating the reactivities to improve selection and assignment of the kinetic parameters in the basin modeling.

Abstract: Provided are methods, devices and non-transitory computer readable storage mediums to generate a more accurate weather forecast by utilizing actual observation of a weather event in a particular location and time. For example, the observation data may be received from a user device and contain information indicative of a weather event that the user observed. Alternatively, or additionally, the observation data may be automatically generated by one or more sensors placed in certain locations and transmitted to a central server automatically upon detecting an observation. The observation data may be used to predict a weather forecast of a location that corresponds to, or is otherwise related to the particular location in which the observed event occurred.

Abstract: Various machines, systems, and methods for generating calibration data for a sensorized brake pad are disclosed. In some embodiments, a system includes a fixture, a brake pad retainer, a pressure plate, an actuator and a controller. The actuator applies a pressure to the sensorized brake pad and signals from the pressure sensors are received. Calibration data is generated based on the signals received from the pressures sensors when the pressure is applied to the sensorized brake pad.

Abstract: A method in a communication device equipped with an electronic circuit includes obtaining a geographic location of a vehicle in which the communication device operates; monitoring at least one sensor signal that corresponds to road quality; determining a road quality indication of the geographic location based on the at least one sensor signal; transmitting the geographic location and the road quality indication to a server; and determining, using an information received from the server, whether the road quality indication differs from an average road quality indicia for the geographic location.

Abstract: Energy usage of a plurality of appliances is measured using a single meter. A pattern of energy usage with respect to the plurality of appliances is determined dependent upon the measured energy usage, appliance details of the plurality of appliances, and usage hours of the plurality of appliances. The pattern is provided to a user of the appliances.

Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Abstract: A dynamic event detection system detects dynamic events, based on a sensor signal, on a mobile harvester. A dynamic event correction system identifies a correction magnitude, corresponding to the detected dynamic event, and a correction timing. The dynamic event correction system applies a correction, using the correction magnitude and correction timing, to a performance metric value generated from a performance metric sensor.

Abstract: A method for seismic exploration uses visco-acoustic FWI to model velocity and quality factor Q for an explored subsurface formation. The method employs frequency-dependent velocity to reduce cross-talk between Q and velocity and may be used for both isotropic and anisotropic media.