67 results about "Normalized Time" patented technology

Methods and apparatus consistent with the invention provide the ability to organize, index, search, and present time series data based on searches. Time series data are sequences of time stamped records occurring in one or more usually continuous streams, representing some type of activity. In one embodiment, time series data is organized into discrete events with normalized time stamps and the events are indexed by time and keyword. A search is received and relevant event information is retrieved based in whole or in part on the time indexing mechanism, keyword indexing mechanism, or statistical indices calculated at the time of the search.

A method based on time-resolved, laser-induced fluorescence spectroscopy for the characterization and fingerprinting of petroleum oils and other complex mixtures. The method depends on exciting the wavelength-resolved fluorescence spectra of samples using ultraviolet pulsed laser radiation, measuring them at specific time gates within the temporal response of the excitation laser pulse, and comparing them in terms of their shapes alone without taking into account their relative intensities. The method provides fingerprints of crude oils without resorting to any kind of approximation, for distinguishing between closely similar crude oils of the same grade, and is useful in remote and non-remote setups, along with applications in fingerprinting blended and non-blended crude oils using different ultraviolet excitation wavelengths. Applications include estimating °API gravity of crude oils and monitoring degradation of mineral oils.

An apparatus and method for capturing and organizing information spatio-temporally utilizes a standardized time reference and geographical locations to associate a time and a place to each event that is captured. These events are placed in a coordinate system according to the associated times and places. The apparatus and method may use a meridial clock. A series of related events forms an event path that progresses chronologically. Plural event paths are illustrated in a coordinate system based image of a user interface. Events from different event paths are synchronized so that events that occur in a particular moment are placed in the same time plane. As time progresses, the events emit from the plane into a region representing the past, and a relationship of events with their times and places is illustrated. A map in the plane of the image may facilitate visualization of places and times with events.

A method and system for automatic signalling an alert when a possible intrusion occurs in an industrial automation and control system, based on security events which occur in the industrial automation and control system or are externally fed into the system. The method includes the steps of: (a) determining a correlation of a first and second security event and storing the correlation in an event database, wherein the correlation includes a probability that the first security event is followed by the second security event within a normalised time period, (b) identifying a candidate event as the first security event, based on event information of the candidate event, upon occurrence of the candidate event, (c) classifying the candidate event as anomalous when the probability exceeds a predetermined threshold and no second security event follows the candidate event within the normalised time period, and (d) signalling the alert indicating the candidate event.

The invention provides a fault diagnosis method of a variable-speed rotation machine based on time-frequency spectrum segmentation. The method includes following steps: step 1, obtaining normalized time-frequency spectrums of signals through multi-resolution generalized S transform, and generating multi-resolution binarized time frequency spectrums; step 2, combining the binarized time-frequency spectrums with all resolutions, and obtaining an optimal binarized time-frequency spectrum; step 3, segmenting the optimal binarized time-frequency spectrum into a plurality of connected domains, and performing information annotation on each connected domain; step 4, extracting an optimal expression atom of each connected domain, forming an optimal atom set, and calculating the expression of a fault signal in the optimal atom set; and step 5, calculating the appearance time and amplitude of an impact theory, and realizing fault diagnosis of variable-sped mechanical equipment through informationcomparison. According to the method, most strong background noises can be filtered, and fault diagnosis of impact type faults including cracking, pitting corrosion or spalling etc. of the variable-speed rotation machine can be realized.

A method based on spectral subtractions of normalized time-resolved laser-induced fluorescence (TRLIF) spectra produces multiple fingerprints of petroleum oils simultaneously. The method utilizes the simultaneous excitation of the TRLIF spectra of six oil samples using synchronized optical shutters. Five of the samples are standard oil samples while the sixth is the targeted sample. Instead of one fingerprint for the targeted sample, the technique produces multiple fingerprints representing the spectral subtractions between the normalized TRLIF spectra of the target sample and those of each of the standard oil samples. The technique provides fingerprints of higher distinguishing ability than a prior method, allowing it to discriminate between closely similar petroleum oils even under weathered conditions. The technique requires no sample preparation and can be applied remotely. It can also identify the original grade of the petroleum oils from their weathered remains.

The invention discloses a single source point detection-based underdetermined blind source separation method. The method comprises the steps of firstly performing short-time Fourier transform on to-be-analyzed observation signals to obtain corresponding time frequency domain complex matrixes; secondly vectorizing and normalizing the time frequency complex matrix of each observation signal; thirdlydetecting out all equal column vectors in the normalized time frequency matrix by utilizing cosine included angle criteria of the vectors, wherein the extracted column vectors are namely single source points; fourthly performing hierarchical clustering on the extracted single source points to obtain a clustering center, thereby realizing estimation of a mixed matrix, wherein the center of each type corresponds to a column of the mixed matrix; and finally by utilizing the estimated mixed matrix, realizing time frequency estimation of all sources at all time frequency points through a least square method, and obtaining time domain forms of the sources through time domain inverse transform. According to the method disclosed by the invention, a linear relationship among different single source points is considered, and the detection of the single source points can be realized only by judging whether the vectors are same or not, so that efficient and high-precision estimation of the mixedmatrix and source signals can be realized under the underdetermined condition.

The invention discloses a method of locating a discharge source for a GIS ultrahigh frequency partial discharge online monitoring device. At present, the ultrahigh frequency partial discharge on-line monitoring device cannot use the time difference between the signals to achieve the precise location of the partial discharge source because the processing sampling rate of the detected peak signal of the ultrahigh frequency partial discharge on-line monitoring device is low. The method uses the GIS ultrahigh frequency partial discharge on-line monitoring device to collect the ultrahigh frequency signal of the GIS equipment, uses the Gaussian smoothing filtering method to extract the envelope of each ultrahigh frequency signal, calculates the time domain cumulative energy function of each ultrahigh frequency envelope signal and performs the normalized processing, calculates the inflection point of the normalized time domain cumulative energy function curve as the signal energy sudden time, i.e., the signal start time, calculates the difference value between the start times of the respective signals, and uses the discharge source positioning formula to calculate the discharge source position. The method can directly use the low sampling signal of the GIS ultrahigh frequency partial discharge on-line monitoring device to perform time difference positioning.

The invention provides a method for deploying a shared bicycle in the radiation range of a subway station based on a spatio-temporal use mode, By mining the time-space data of shared bicycle travel within the radial range of subway station in the data of shared bicycle operation, The standardized temporal change rate and the standardized spatial distribution rate are defined respectively, and thetwo standardized index values are clustered and the results are visualized, and the spatio-temporal usage patterns of shared bicycles in different types of subway station radiation range are obtained,and the shared bicycles in this range are deployed based on spatio-temporal usage patterns. The invention firstly utilizes the corresponding time and space indexes in the shared bicycle operation data, Considering the heterogeneity of different types of subway stations, The standardized method is used to analyze the different types of spatial and temporal usage patterns of shared bicycles withoutfixed access points in the radiation range of subway stations, which provides a basis for the study of shared bicycle connection behavior near subway stations, and is conducive to improving the quality of service and connection efficiency of rail transit and shared bicycle system.

The invention discloses an IFT based design method of a UDE control system. Transfer functions of different modules of the UDE control system are normalized, and a filter parameter is determined by considering a target of minimizing an integral absolute error value during change of the closed-loop bandwidth and disturbance step; an empirical formula of the system robustness index Mst, the normalization parameter x of the controller and the normalized time lag tau<-> are derived; an IFT algorithm is used to optimize an object nominal model so that the model can describe practical objects; and the normalized time lag tau<-> is calculated according to the know object nominal model, the controller normalization parameter x is calculated by combining a given robustness index Mst, a reference model parameter is determined by weighting the system robustness and the response speed, and design of the UDE control system is completed. According to the invention, the IFT method is applied to design of the UDE control system for the first time, model parameter identification and controller parameter setting can be completed at the same time by completing a specific closed-loop experiment, and requirements for the robustness, setting value tracking performance and disturbance inhibition performance are met simultaneously.

The invention provides a dam safety monitoring data anomaly detection method based on unsupervised learning, and the method comprises the following steps: (1), obtaining to-be-detected time series data of a monitoring amount during the operation of a dam, carrying out the normalization processing of the collected to-be-detected time series data, performing rolling sampling on the normalized time sequence data to be detected by adopting a moving sliding window, and establishing a training sample data set and a test sample data set; (2) based on a training sample data set and a test sample data set long-short memory (LSTM) recurrent neural network regression prediction model, performing regression prediction on the to-be-detected time series data, and calculating a residual sequence of the to-be-detected time series data and the reconstructed sequence data; and (3) establishing an anomaly detection model based on an isolated forest (iForest) algorithm, and inputting the residual sequence into the anomaly detection model to complete real-time detection of the abnormal value of the dam monitoring data. According to the method, the problem of online intelligent identification of the abnormal value of the monitoring data in the dam safety monitoring real-time acquisition process can be solved, the method has high generalization ability and wide application range, the data types acquired by different sensors can be detected, and a large amount of data can be quickly processed.

The invention discloses a track optimization method for switching cannular polypropylene production marks. The method includes establishing a dual cannular track optimization module for switching the marks during polymerization production process of polypropylene bodies, simultaneously, effectively solving an optimal control problem of the track optimization module on the basis of a control vector parameterization method of variable time scales, namely, transforming the inhomogeneous parameterized optimal control problem into a homogeneous parameterization problem by introducing standardization time variables, further transforming the homogeneous parameterization problem into a nonlinear programming problem, and then using an interior point optimization algorithm for solving, so that control parameters and time nodes can be simultaneously optimized, and optimization efficiency of switching tracks is guaranteed. According to the track optimization method, the shortest time used in switching process and the fewest transition materials are achieved on the premise that a polypropylene device is stably and safely operated by looking for optimization tracks of operation variables and index change of product performances during the process of switching the polypropylene marks, so that economic costs can be saved, and productivity effects are improved.

A method is provided for determining a personalized cardiac model, including steps of (i) computing a velocity time profile of a blood flow across a selected area of the heart or the aorta during at least one cardiac cycle, using data acquired with a Magnetic Resonance Imaging (MRI) device; (ii) performing a segmentation of the velocity time profile so as to identify cardiac phases according to a predefined generic cardiac model; and (iii) computing normalized time location and/or duration of the cardiac phases within cardiac cycles so as to define a personalized cardiac model.

The invention provides a method for calculating the position of a pseudo-satellite, comprising steps of: determining whether it is a pseudo-satellite system; if so, reading a coordinate constant of the pseudo-satellite system; calculating the normalized time; calculating the average angular velocity of the satellite; separately calculating the mean anomaly, the eccentric anomaly, the true anomaly,the ascending node angular distance, and the perturbation correction term at the signal transmission moment; calculating the ascending node angular distance, the satellite vector length and the orbital inclination angle after the perturbation correction; calculating the position of the pseudo-satellite in an orbital plane; calculating the ascending node right ascension at the signal transmissionmoment; calculating the position of the pseudo-satellite in a earth-fixed coordinate system. The method only modifies the basic geodetic parameter in a satellite position algorithm, so that the pseudo-satellite spatial position can be calculated by using four ephemeris parameters, and solves problem that the original broadcast ephemeris cannot represent the coordinates of a ground stationary object.

The invention provides a dynamic intuitionistic fuzzy cognitive map construction method, a time sequence prediction method and a time sequence prediction system. The dynamic intuitionistic fuzzy cognitive map construction method comprises the following steps: clustering standardized time sequence data into nodes of an intuitionistic fuzzy cognitive map by utilizing fuzzy C-means clustering; training a weight matrix of the intuitionistic fuzzy cognitive map to obtain an initial intuitionistic fuzzy cognitive map; receiving new standardized time sequence data and inputting the new standardized time sequence data into the initial intuitionistic fuzzy cognitive map; adjusting the position of a clustering center of the intuitionistic fuzzy cognitive map by utilizing dynamic fuzzy C-means clustering to obtain a dynamic intuitionistic fuzzy cognitive map; in the process of adjusting the position of the cluster center of the intuitionistic fuzzy cognitive map, judging whether the data at the current moment has concept drift or not by utilizing drift detection if the data at the current moment successfully fall into an existing cluster and an error between a real value solved by utilizing the adjusted intuitionistic fuzzy cognitive map and a predicted value is greater than a preset error threshold value and if so, adjusting a weight matrix of the intuitionistic fuzzy cognitive map; otherwise, not changing the intuitionistic fuzzy cognitive map.

The invention discloses a method of construction and fault tolerance of front and back flights. The method comprises following steps of step 1, arranging flights in a real-time and orderly manner: according to real-time changing conditions of the flights, carrying out time normalization on the flights with the same flight number according to time zones, actual departure time, estimated departure time and planned departure time, and according to the normalized time, carrying out ascending ranking; step 2, constructing a bidirectional chain table: according to the ordered flight data, firstly filtering all non-stop flights, and sequentially adding the flights into the chain table so as to construct a front and back flight bidirectional chain table in the region communication state between local parts; and step 3, error redundancy of access: searching the front flights according to four conditions: flight numbers, departure places, destinations and departure time. According to the invention, a problem of obstructed flight chain tables caused by errors or missing of related data of flight numbers and time of certain flight data.

The invention provides a high-voltage direct current transmission line fault distance measurement method based on HHT (Hilbert-Huang Transform) normalized iteration. Aiming at the problem that it is easy to generate a wave head misjudgment point due to excessively high frequency in a traveling wave ranging method, a method based on HHT normalized iteration is provided, and influences caused by thewave head misjudgment points are eliminated; a three-terminal traveling wave method is used for power transmission line fault location, the problem that it is difficult to calculate the wave speed inthe traditional traveling wave ranging method is solved, and the positioning accuracy is improved; compared with a positioning method of wavelet transformation, the method provided by the invention has the advantages that a normalized time-amplitude diagram formed by HHT normalized iteration is utilized to perform wave head calibration, the stability is high, the error is small, and the method provided by the invention is basically not influenced by factors such as transition resistance and fault distance, and the positioning precision is high.