Abstract: A method for estimating at least one ring-related parameter related to at least one piston ring may include estimating a bore distortion of a cylinder bore. The bore distortion may include a plurality of bore distortions corresponding to a plurality of respective piston locations within the cylinder bore. The method may also include receiving the bore distortion in a ring performance model configured to dynamically estimate a plurality of ring-related parameters associated with combustion in the cylinder bore during operation of the internal combustion engine. The ring performance model may be configured to receive a static data signal indicative of static parameters and a dynamic data signal indicative of dynamic parameters related to operation of the internal combustion engine. The ring performance model may be configured to estimate at least one ring-related parameter related to at least one piston ring during operation of the internal combustion engine.

Abstract: An apparatus is described that determines an estimated rotational speed of a rotating component of a machine in the absence of a reliable tachometer signal to indicate an actual rotational speed. The apparatus includes a processor that produces a spectral plot of the vibrational data, locates peaks in the spectral plot, and scans the spectral plot in predetermined rotational speed increments to provide candidate rotational speeds. For each candidate rotational speed, associated harmonics are identified, closest peaks in the spectral plot to the candidate rotational speed and its harmonics are located, gaps between the closest peaks and the candidate rotational speed and its harmonics are measured, and a sum of the gaps is recorded. The estimated rotational speed is the candidate rotational speed associated with a minimum sum of the gaps.

Abstract: A measurement point determination method for determining the number or an arrangement of measurement points for a measurement apparatus that performs measurement processing of a measurement item at a plurality of measurement points, the method comprises the steps of acquiring a minimum value and a maximum value of the number of measurement points, acquiring a target value of uncertainty for the measurement item of the measurement apparatus, estimating uncertainties when the measurement item is measured by the measurement apparatus using two or more of the numbers of measurement points between the minimum value and the maximum value of the number of measurement points, and determining the number of measurement points of the measurement apparatus on the basis of the target value and the estimated uncertainties.

Abstract: A processing apparatus includes a data collection unit and a correlation degree derivation unit. The data collection unit is configured to collect operation mode data indicating an operation mode of a windshield wiper, acquired in one or more vehicles. The correlation degree derivation unit is configured to derive a degree of correlation between the operation mode data and precipitation amount data.

Abstract: A vibration analyzer for use in determining a rotational speed. The vibration analyzer includes an input for sensing vibration data, a memory for storing the vibrational data, and a processor. The processor produces a spectral plot of the vibrational data, locates peaks in the spectral plot, receives an input rotational speed, and scans the spectral plot in predetermined rotational speed increments to provide a candidate rotational speeds. For each candidate rotational speed, a number of associated harmonics is identified, closest peaks in the spectral plot to the candidate rotational speed and its harmonics are located, gaps between the closest peaks and the candidate rotational speed and its harmonics are measured and summed, and a sum of the gaps is recorded. The candidate rotational speed that is associated with a minimum sum is selected as the nominal rotational speed.

Abstract: An arc fault detection method for a photovoltaic system based on an adaptive kernel function and instantaneous frequency estimation includes steps of: sampling signal xt in a time window length of TNCT and obtaining an iterative time-frequency diagram of xt by nonlinear chirplet transform; extracting detection variables based on frequency component in the selected iterative time-frequency diagram to determine a moment when spectrum energy increases; when the moment is found, obtaining a matrix distribution form of the xt in time-frequency domain obtained by the adaptive optimum kernel time-frequency representation, and processing the matrix with sum of squares in a time dimension to obtain a column vector; processing each selected frequency bands with integration operation in a frequency dimension to obtain multiple detection variable values as inputs of a well-trained Naive Bayes model.

Abstract: A machining environment measurement device, which enables automatic identification of a vibration source which may cause defects in a machined surface based on pieces of vibration data without performing an actual machining process, includes a reference machining data storage unit that stores reference machining data computed based on time-series data of vibration measured in advance in an ideal machining environment; a data acquisition unit that acquires time-series data of vibration of at least a holder attached to a spindle of the machine tool detected by a holder measurement sensor; an analysis unit that analyzes the time-series data and computes feature data indicating a feature of the time-series data; a comparative determination unit that compares the feature data with the reference machining data and determines a machining environment of the machine tool; and a display unit that displays the determination result of the comparative determination unit.

Abstract: A position sensing device for measuring a position, comprises a position sensing device for measuring a position; a plurality of sensors arranged to produce sense signals each being a function of an input phase representative of a position to be measured; a combiner circuit arranged to generate an error signal by combining the sense signals according to an array of weight factors; a processing block including a loop filter to filter the error signal and arranged to output a phase value representative of the position; and a feedback loop comprising a feedback signal unit arranged for receiving the output phase value and for adjusting based on the received output phase value of the array of weight factors.

Abstract: The present invention provides a cross-axis and cross-point modal testing and parameter identification method for predicting the cutting stability, which is used to improve the accuracy of existing prediction methods of cutting stability. The method firstly installs a miniature tri-axial acceleration sensor at the tool tip, and conducts the cross-axis and cross-point experimental modal tests respectively. The measured transfer functions are grouped according to different measuring axes, and the dynamic parameters are separately identified from each group of transfer functions. Then, the contact region between the cutter and workpiece is divided into several cutting layer differentiators. After that, together with other dynamic parameters, all the parameters are assembled into system dynamic parameter matrices matching with the dynamic model. Finally, dynamic parameter matrices including the effects of cross-axis and cross-point model couplings are obtained.

Abstract: A method and module for detecting dependencies of at least two data streams of sensor measurements is provided, which are recorded on a technical device, in particular in an energy generation device, including: an input interface which is adapted for capturing the streams of sensor data from sensors, a data structure for analysis in form of a sliding window which is incrementally moved over the respective streams of sensor data so that there is an overlap between consecutive windows, and a processor, which is adapted to apply an entropy-based algorithm on the data within the sliding window for calculating data stream dependencies, while incrementally moving the sliding window, wherein only updated data in the sliding window is processed by the entropy based algorithm.

Abstract: An electronic distance recorder configured to be coupled to a wheel hub of a vehicle, the electronic distance recorder comprising: means for determining distance travelled by the vehicle; means for storing a current vehicle odometer value; means for accruing the current vehicle odometer value based on the distance travelled by the vehicle; a receiver for receiving license data representative of a vehicle license issued for the vehicle; and an electronic display configured to display an indication of the validity of the vehicle license. Vehicle information recorders, communication devices and power generators are also disclosed.

Abstract: A battery diagnostic device includes a sensing unit configured to measure a current and voltage of a battery, and a processor configured to estimate a SOC of the battery based on the measured current, select a plurality of SOCs from SOC-voltage data mapping the voltage and the estimated SOC with each other, divide a preset SOC region into a plurality of sub-regions based on sizes of the selected SOCs, calculate a region change value of each of the sub-regions based on the sizes of the sub-regions and a size of a preset reference region, diagnose whether at least one of an active material area, a depth of discharge and a depth of charge of the battery changes based on the calculated change values of sub-regions, and determine whether a mode of the battery is a normal mode or a failure mode based on the diagnosis.

Abstract: Systems and methods for attenuating residual acoustic energy in marine seismic data are disclosed. In one aspect, a number of gathers are recorded for consecutive activations of a marine source. Each recorded gather contains a record of acoustic reflections from a subterranean formation after activation of the source and residual acoustic energy from one or more previous activations of the source. The gathers are aligned to generate aligned gathers with the residual acoustic energy coherent between the aligned gathers and the reflections incoherent between the aligned gathers. A set of model gathers of the residual acoustic energy is generated from the aligned gathers. The model gathers are subtracted from one or more of the corresponding recorded gathers to generate one or more gathers with attenuated residual acoustic energy.

Abstract: Embodiments of the disclosure can include systems and methods for formation fluid sampling. In one embodiment, a method can include monitoring a relationship between a first characteristic of a formation fluid extracted from a formation and a second characteristic of the formation fluid extracted from the formation, determining, based at least in part on the monitoring, that a linear trend is exhibited by the relationship between the first characteristic of the formation fluid extracted from the formation and the second characteristic of the formation fluid extracted from the formation, and determining a reservoir fluid breakthrough based at least in part on the identification of the linear trend, wherein the reservoir fluid breakthrough is indicative of virgin reservoir fluid entering a sampling tool.

Abstract: The invention relates to an operational state determination apparatus (1) for determining whether a variation in a determined electrical parameter of an electrical network (2) is caused by a variation in an operational state of an electrical consumer of the electrical network. The electrical network comprises multiple electrical consumers (3, 4, 5) and a voltage source (6), wherein a variation classification unit (10) determines whether a variation in the determined electrical parameter of the electrical network is caused by a variation in the operational state of an electrical consumer of the network depending on a decision variable which depends on a variation in a measured voltage and a variation in a measured current of the electrical network. This determination can be performed, without directly using the variation in the determined electrical parameter of the electrical network and is therefore less influenced by random voltage fluctuations in the electrical network.

Abstract: The invention concerns a method, device and computer program product for monitoring or planning a dive of a diver. The method includes providing data on the composition of gases breathed by the diver during the dive, providing data on the depth or ambient pressure of the diver, and using a model to provide a safe ascent profile for the diver based on the data on the composition of gases and on the depth or ambient pressure. According to the invention, the method further comprising detecting, based on the data on the composition of gases, a gas composition change which may lead to a deep tissue isobaric counter diffusion situation, and the model comprising means for immediately temporally retarding the ascent profile if such gas composition change is detected. The invention can be used to mitigate the harmful effects of dangerous breathing gas changes during diving.

Abstract: A system and method for outputting analysis regarding weather and/or environmental conditions at a venue for an event by determining correlations between the results of past events and historical weather and/or environmental conditions, determining current and/or forecasted weather and/or environmental conditions (for example, using a dense mesonet of sensors in and around an event/venue), and generating analysis based on the current and/or forecasted weather and/or environmental conditions and the correlations between the results of past events and the historical weather and/or environmental conditions.

Abstract: Methods, systems, and non-transitory computer readable medium are provided for correcting component failures in ion implant semiconductor manufacturing tool. A method includes receiving, from sensors associated with an ion implant tool, current sensor data corresponding to features; performing feature analysis to generate additional features for the current sensor data; providing the additional features as input to a trained machine learning model; obtaining one or more outputs from the trained machine learning model, where the one or more outputs are indicative of a level of confidence of a predicted window; predicting, based on the level of confidence of the predicted window, whether one or more components of the ion implant tool are within a pre-failure window; and responsive to predicting that the one or more components are within the pre-failure window, performing a corrective action associated with the ion implant tool.

Abstract: A method at a computing device, the method including obtaining sensor data for a vehicle providing vibration frequency and magnitude; calculating an energy for each of a low frequency passband and a high frequency passband of a bandpass filter pair; finding an energy ratio based on the energy for the low frequency passband and the energy for the high frequency passband; applying weighting constants to each of the energy for the low frequency passband, the energy for the high frequency passband and the energy ratio to calculate a decision variable; and finding that the vehicle is unloaded if the decision variable is below a threshold and finding that the vehicle is loaded if the decision variable is above a threshold.

Abstract: In a method for estimating a voltage of a battery a given battery model (BM) is provided, wherein the given battery model (BM) is a single particle model. A C-rate of the battery is determined. The battery model (BM) is adapted based on the C-rate. The voltage of the battery is estimated by means of the adapted battery model (BM).