528 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.

A data management method is provided for storing a real-time history of a file system, or a component thereof, such as a directory or a file. The real-time history is stored as an object-oriented logical representation comprising at least a set of version metadata objects, and a set of one or more links that associate given objects of the set of version metadata objects. As one or more events occur in the real-time history, the logical representation is restructured dynamically. The logical representation is useful to provide any point-in-time reconstruction of the file system component on an as-needed basis.

Prioritization of document, such as email messages, is disclosed. In one embodiment, a computer-implemented method first receives a document. The method generates a priority of the document, based on a document classifier such as a Bayesian classifier or a support-vector machine classifier. The method then outputs the priority. In one embodiment, the method includes alerting the user based on an expected loss of now-review of the document as compared to an expected cost of alerting the user of the document, at a current time. Several methods are reviewed for display and interaction that leverage the assignment of priorities to documents, including a means for guiding visual and auditory actions by priority of incoming messages. Other aspects of the machinery include a special viewer that allows users to scope a list of email sorted by priority so that it can include varying histories of time, to annotate a list of messages with color or icons based on the automatically assigned priority, to harness the priority to control the level of detail provided in a summarization of a document, and to use a priority threshold to invoke an interaction context that lasts for some period of time that can be dictated by the priority of the incoming message.

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 system and method for geolocating a mobile unit from a single base station is described. Communication signals and pilot signal information from a mobile unit are received at a base station with randomly-located antennas. Certain parameters of the signals are detected and a set of real-time, but ambiguous, location measurements is determined. The real-time measurements are compared to reference measurements previously stored in a database, indexed by range and bearing from the base station, to find the best match and thereby the geolocation of the mobile unit. A time history of the mobile unit's position is stored and compared with static information from maps and other geomorphological data to further refine the geolocation of the mobile unit.

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.

Designs, methods, and applications for fault localization and fiber security in optical transponders is described. In one embodiment a two-way time transfer protocol or other suitable method for synchronizing clocks between distant transponders is used. The clock synchronized transponders have digital signal processing to continually detect high precision time-histories of physical layer attributes in the transmission between the two transponders. Physical layer attributes can include: state-of-polarization changes, changes in polarization-mode-dispersion, change in propagation delay, changes or loss-of-light, changes in OSNR, changes in BER between the two nodes. By recording these physical layer changes and time-stamping them information on the magnitude and estimated location of the changes can be inferred by from the time records. In one aspect the method may be used in a distributed optical sensor for monitoring trespassing events that are a risk to fiber security of an optical transmission link.

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.

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.

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.

This invention provides a global strategic picture of commodity movements generated by tracking ships from satellite and other sources and then combining ship location and movement information with at least one other data set, such as vessel, port, cargo, weather, or market data. Ship positions are integrated with other data, such as vessel, port, cargo, weather, and market information, to create a global strategic picture of commodity flows. A global strategic picture may then be generated by combining (i) ship movements gathered by satellite and other sources, with (ii) vessel, port, cargo, weather, market, and other data from existing sources, and (iii) a time history of these data sets.

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 G-N wave model-based forecast method for a large-amplitude motion of a ship in a severe sea condition, and belongs to the technical field of ship motion forecast. Through nonlinear simulation of the motion of the ship in waves, a nonlinear effect of an incident wave force and a hydrostatic restoring force of a ship body is considered, and an incident wave pressure on thewet surface of the ship body is calculated. A fluid pressure is solved based on a G-N wave theory, so that the incident wave force and a hydrostatic pressure are obtained; a radiation force and a diffraction force are solved by adopting an impulse response function method, wherein the wave surface of the diffraction force is obtained by a G-N wave model; and consistency correction can be performedin calculation. The large-amplitude motion of the ship is forecast by adopting a weak nonlinear motion equation based on coupling of three freedom degrees including heaving, pitching and rolling; RAOis calculated for analyzing motion characteristics of the ship; a simulated motion response time history significant valve, a motion extremum value and oscillation statistics are analyzed by utilizing a wave-by-wave analysis theory; and the motion of the ship body can be forecast more accurately.

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.

A temporal relational database includes a relational database framework that allows for all the capabilities of a standard relational database with the addition of the concept of time. Transactions, which can be modifications of attribute values or changes to the database schema, can be stored with temporal histories. Through the use of these temporal histories, the temporal database is able to seamlessly respond to queries for times that are in the past, present, or future. Furthermore, transactions can be entered into the temporal relational database that are not effective until some point in the future, thus allowing for seamless migration of the data and schema of a database. Applications that access data in a temporal database may retrieve a time appropriate schema from the temporal database. An exemplary use of a temporal database to manage roles and responsibilities within an organization is described.

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.

In hydroforming of hollow metal articles in a die, such as pressure-ram-forming procedures, a method of decreasing cycle time of the forming process, while ensuring acceptable product properties and avoiding failures, by modeling the process using finite element analysis to establish a pressure-time history that optimizes the forming operation and applies failure limits to selected variables such as minimum wall thickness or maximum strain rate, and transferring this pressure-time history to a computer controlling the forming process. Thermocouple and / or continuity sensors are incorporated into the die wall and connected to the computer so as to provide active feedback from the die to the control of the process.

The invention discloses a long-gauge-length-strain-influence-envelope-based bridge damage identification method. The method comprises: a distributed long-gauge-length strain sensing monitoring system is constructed; when a vehicle crosses a bridge, data acquisition is carried out; the collected data are decomposed; a long-gauge-length strain influence envelope of the bridge is extracted; and then bridge damage identification and bearing state estimation are carried out. Long-gauge-length strain sensors are used for measuring strain information of the bridge when the vehicle is crossing the bridge; and with an empirical mode decomposition method, a long-gauge-length strain time history is decomposed, a static strain component extraction criterion is put forward, and a strain influence envelope of the bridge is formed based on the extracted maximum static strain value, thereby determining a bearing force state of the bridge. During implementation, closing of the traffic is avoided; and on the basis of the long-gauge-length strain time history under vehicle driving, the rigidity distribution situation of the bridge can be detected rapidly.

The invention discloses a modeling and simulating method for mechanical transient characteristics of a transmission chain of a wind generating set. The method comprises the following steps: (1) building a three-dimensional model of the transmission chain of the wind generating set; (2) importing the three-dimensional model of the transmission chain into ANSYS and ADAMS, and building a finite element model and a rigid-flexible coupling model of the transmission chain, wherein the rigid-flexible coupling model considers the flexibility of a main shaft, a planet carrier, a transmission shaft and an output shaft; (3) building a wind generating set model, calculating a transmission chain load when a power grid has a transient fault, and simulating the power grid fault through a voltage sag generator, wherein a torque-time history of the transmission chain is extracted after calculation; (4) loading the torque-time history of the transmission chain into an ADAMS model to serve as the load boundary condition for simulating the mechanical transient characteristics of the transmission chain, performing simulation analysis on the mechanical transient characteristics such as the torque vibration response and stress of the transmission chain when the power grid has the transient fault in ADAMS, and checking and evaluating the mechanical transient characteristics of the transmission chain; (5) selecting a key load point of the transmission chain and performing static strength check analysis in ANSYS.

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.