524 results about "Time history" patented technology

A system for condition monitoring and fault diagnosis includes a data collection function that acquires time histories of selected variables for one or more of the components, a pre-processing function that calculates specified characteristics of the time histories, an analysis function for evaluating the characteristics to produce one or more hypotheses of a condition of the one or more components, and a reasoning function for determining the condition of the one or more components from the one or more hypotheses.

A data management method wherein a real-time history of a database system is stored as a logical representation and the logical representation is then used for any point-in-time recovery of the database system. More specifically, a method for capturing transaction data, binary data changes, metadata, and events, and for tracking a real-time history of a database system according to the events. The method enables tracking and storing of consistent checkpoint images of the database system, and also enables tracking of transaction activities between checkpoints. The database system may be recovered to any consistent checkpoint or to any point between two checkpoints.

State-dependent supervised learning framework in artificial neuron networks may be implemented. A framework may be used to describe plasticity updates of neuron connections based on a connection state term and a neuron state term. Connection states may be updated based on inputs and outputs to and/or from neurons. The input connections of a neuron may be updated using input traces comprising a time-history of inputs provided via the connection. Weight of the connection may be updated and connection state may be time varying. The updated weights may be determined using a rate of change of the input trace and a term comprising a product of a per-neuron contribution and a per-connection contribution configured to account for the state time-dependency. Using event-dependent connection change components, connection updates may be executed on a per neuron basis, as opposed to a per-connection basis.

A system determines three-dimensional attitude of a moving platform using signals from two closely spaced Global Positioning System (GPS) antennas. The system includes three rate gyroscopes and three accelerometers rigidly mounted in a fixed relationship to the platform to aid in determining the attitude. The system applies signals from one of the two GPS antennas to sufficient channels of a GPS receiver to support navigation. The system applies signals from a second of the two GPS antennas to the additional receive channels to support interferometry. The system resolves the ambiguity normally associated with the interferometric heading solution by having closely spaced GPS antennas, and uses interferometry to refine a coarse heading estimate from a GPS plus Inertial Measurement Unit (IMU) transfer alignment solution. The system achieves sub-meter spacing of the two GPS antennas by merging many temporal interferometric measurements and the attitude memory provided by the IMU time-history solution.

A method for bridge vibration testing and dynamic property recognition based on video monitoring comprises a step A of performing system construction, initial configuration and displacement obtaining; a step B of performing multipoint structure dynamic displacement obtaining, continuous collection and storage; a step C of preprocessing displacement time-history data; and a step D of processing free vibration response signals to obtain a modal parameter.

The invention discloses a boiler combustion optimizing control system and a boiler combustion optimizing control method. The method comprises the following steps of: on the basis of the equilibrium distribution and transformation for coal powder in a fire coal unit, accurately measuring parameters such as wind, powder, ash and the like by using a measuring device; analyzing a history behaviour of operation by the deep analysis and digging of data by using the acquired real-time history data of a boiler and taking the work condition optimization as a basic optimizing method; establishing mathematical models among operation parameter, status input parameter and parameters such as boiler efficiency, NOx and the like in the combustion process to obtain a unit operation mode knowledge base; performing the whole plant energy-saving and emission-reducing comprehensive assessment and diagnosis; analyzing the unit operation potential; and providing a knowledge base and a rule for optimizing operation; optimizing boiler combustion parameter configuration aiming at different combustion indexes or an index combination to realize the optimization of multiple optimizing objects and propose an energy-saving and emission-reducing implementation scheme and measurement in a classification mode. The method not only can realize closed-loop optimizing control but also can realize on-line optimizing guide.

The invention discloses an equipment failure early warning and optimizing method and system based on a similarity curve. The method comprises the steps of: screening normal operation real-time history data from equipment operation real-time history data; generating a data state set based on the normal real-time history data and carrying out extraction according to the distribution of data groups in the data state set to establish a normal operation data model reflecting real operating principles of equipment; comparing the real-time state value group of the equipment which is in online operation with the value groups of each state point in the normal operation data model, and calculating to generate the similarity curve; calculating the data state set of the equipment in normal state on the basis of the normal operation data model, and defining equipment potential failure early warning and optimizing rules corresponding to the change of the similarity curve; and combining the equipment potential failure early warning and optimizing principles, analyzing the change of the similarity curve, distributing the equipment potential failure early warn, and generating the equipment optimization operation guidance.

The invention provides a passive positioning method of a single-vector hydrophone. The passive positioning method includes: (1) performing short-time Fourier transformation on acoustic pressure signals to obtain time frequency distribution of noise signals; (2) extracting time history of strong line spectrum signals, evaluating the recent passing time of a target according to the time history of a line spectrum frequency, and evaluating the moving speed of the target according to Doppler frequency offset of the line spectrum; (3) finding the direction of the target corresponding to the line spectrum according to the acoustic pressure signals and horizontal vibration velocity signals received by the single-vector hydrophone, and obtaining the direction time history of the target during the point measuring process; and (4) evaluating motion tracks of the target according to the direction time history and motion speed of the target. The passive positioning method of the single-vector hydrophone has the advantages of being capable of positioning the target only by continuously measuring the acoustic pressure and the horizontal vibration speed information without knowing the hydrology parameters of the ocean, and is suitable for deep oceans and shallow oceans.

In-situ methods and systems for determining bridge load ratings under ambient traffic are provided. These may include, for example, by installing one or more strain gauges on one or more bridge girders a batch of strain readings may be acquired from the one or more strain gauges. From the batch of strain readings, one or more strain time histories may be randomly sampled based, for example, on a girder peak strain. One or more vehicles may be randomly selected based on the one or more stored vehicle parameters by accessing a database with one or more stored vehicles and stored vehicle parameters. A bridge load rating model may be calibrated based on the one or more randomly sampled strain time histories and the randomly selected one or more vehicles for acquiring, in one embodiment, a bridge load rating distribution.

A battery state of health estimator and similar method, system and computer product is disclosed providing for a estimate of a state of health (SOH) of one or more batteries, comprising, estimating a sampling of internal resistances of the one or more batteries, generating a time history of the internal resistance over a predetermined amount of time, generating a cumulative internal resistance histogram from the time history, calculated a final estimate of internal resistance of said one or more batteries which represents the calculated SOH of said one or more batteries and comparing the calculated SOH to a predetermined critical resistance threshold. If the calculated SOH is less than the predetermined critical resistance threshold, the battery is in no worse than a “Blue Monday” condition, and if the calculated SOH is greater than the critical resistance threshold, then the one or more batteries has failed.

The invention discloses a random recognition method for bridge floor moving vehicle loads. The method comprises the following steps that (1) raster sensors, strain sensors and acceleration sensors are arranged on a bridge floor to obtain running speeds of moving vehicles and the dynamic strain and acceleration responses of a bridge under the action of the moving vehicle loads; (2) an accurate structural finite element model is established for a bridge structure, model condensation is carried out, and the freedom degree of the bridge model after the model condensation is made to be matched with dynamic strain signal measuring positions; (3) the deterministic components of bridge random dynamic displacement, speed and acceleration are obtained by utilizing a KL decomposition technique on the basis of actual measurement dynamic strain response samples; (4) the deterministic components random moving vehicle loads on the bridge floor are recognized by directly adopting a sample matrix inversion and a Tikhonov regularization method; (5) the statistical properties, average time history and variance, of the random moving vehicle loads are obtained.

A secure tracking system and method of tracking for articles which are secure and include authentication and verification of users and user devices for data and information access and input. Each article to be tracked is provided with a unique secure indicia applied to the article and through which chronological histories are generated and maintained from creation of each article until at least the time when article is scrapped or otherwise destroyed. The articles can include manufactured components, assemblies, device and equipment for aircraft, automotive, military and other users, as well as jewelry and works of art.

The invention discloses a gear contact fatigue life prediction method based on a load spectrum. The gear contact fatigue life prediction method comprises the following steps: 1, compiling a load spectrum for limited load-time history obtained by measurement, and performing function fitting on the load of the whole life cycle by utilizing a parameter extrapolation method through a statistical result of a rain flow counting method to obtain a two-dimensional load spectrum of the whole life cycle; 2, converting the two-dimensional load spectrum into a one-dimensional load spectrum; 3, simulatingthrough a finite element method to obtain a time-varying stress-strain process of the gear, predicting the contact fatigue life under a constant load by combining a multi-axis fatigue criterion, and drawing the contact fatigue S-N curve of the gear; 4, calculating the contact fatigue life of the gear under the load spectrum according to the Palmgmn-Miner fatigue damage accumulation criterion. Themethod has the advantages that the accuracy of predicting the contact fatigue life of the gear is improved, the test cost is saved, and the efficiency is improved.

A method monitoring an aircraft engine, including: collecting time history measurements on a first set of measurements on endogenic variables and a second set of measurements on exogenic variables; standardizing measurements related to the endogenic variables considering the exogenic variables to form an entry point corresponding to a condition of a current engine in a multi-dimensional space, for each acquisition; projecting each multi-dimensional space entry point onto an image point on a previously constructed map, forming a sequence of image points on the map reflecting a distribution of the multi-dimensional space entry points, the image points forming a current trajectory representing a change to conditions of the current engine; comparing an end of the current trajectory with previously recorded portions of aircraft engine trajectories kept in a database; and analyzing statistical variations of the trajectories to anticipate maintenance operations on the current engine.

The invention discloses a time domain bidirectional iteration-based turbine vane flutter stress forecasting method. The method is characterized in that: a set of bidirectional iteration method for a time domain is designed by taking a vane and a surrounding flow field thereof as a three-dimensional fluid solid coupling system, and the flutter stress of the vane is obtained by alternately solving vane deformation and unsteady flow field. The method comprises the following steps of: setting a structural calculation module, a fluid calculation module, a data conversion module, a flutter stress output module, an initial value calculation module and a bidirectional iteration module in a computer; acquiring static vane deformation and steady flow field serving as an initial value by nonlinear iteration; alternately calling the structural calculation module and the fluid calculation module to propel the whole system on time; transmitting fluid solid boundary information through the data conversion module; and outputting the flutter stress on time history. The method realizes integrated calculation of the vane and the flow field, takes the nonlinearity of the coupling system into consideration, and can allow the observation of the whole flutter development process and forecast the flutter stress of the vane.

A method for performing bridge monitoring by using multiple strapdown inertial systems belongs to the bridge monitoring technology and includes: performing position setting for the strapdown inertial systems according to the dynamic characteristic of a bridge structure and performing installation calibration and initial calibration for the strapdown inertial systems; carrying out bridge dynamic load tests which include a pulsating test, a sports car test and a bumping test, and performing continuous monitoring by using deformation and vibration information of the strapdown inertial systems relative to a reference point and measurement points; obtaining static deformation angles and dynamic deformation angles of the measurement points of the bridge at each moment by using the deformation information obtained in an inertial test matching method; obtaining a girder deflection curve of the bridge by using the dynamic deformation angles of the inertial systems calculated at the reference point and the measurement points, and obtaining an impact coefficient of the bridge through further processing; using accelerometer output information to obtain acceleration time history curves of all the measurement points and obtaining displacement time history curves through integration; and analyzing the acceleration time history curves and the displacement time history curves in a time domain analysis method and a frequency domain analysis method to obtain structural parameters including bridge amplitude, damping ratio and vibration mode. The method has the advantages of being free of weather variation interference, little in manual operation, high in automatic degree and capable of performing continuous measurement.

The invention discloses a power transmission line wind vibration calculation method under random wind load. The power transmission line wind vibration calculation method comprises the following steps: 1: carrying out formfinding on a tower line coupled system finite element model under dead load and average wind load; 2: simulating a pulsation wind speed field to obtain a pulsation wind speed time history; and 3: carrying out wind vibration response calculation: transforming the pulsation wind speed time history obtained in 2) into wind load, applying the wind load to the finite element model which finishes formfinding under the dead load and the average wind load in 1), carrying out transient solving, and extracting a displacement and stress result to finish wind vibration calculation after solving. In the power transmission line wind vibration calculation, average wind speed and pulsation wind speed are separably processed, the pulsation wind speed is applied to a coupled model which finishes formfinding under the average wind load to carry out calculation so as to solve the problem of high iterations and small possibility of convergence of a traditional wind vibration analysis method, and calculation time is shortened.