513 results about "Performance estimation" patented technology

System for improving a performance estimation of an operator of a vehicle, comprising a first module implementing a first method for estimating a performance state of vehicle operation, a second module implementing a second method for estimating at least one of a physiological and behavioural state of the operator, a device for sharing an estimated state between one of the first and the second module and the other one of the first and the second module, wherein the implemented estimation method of one of the first and the second module is adjusted based on the state of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and / or behavioural state of the operator.

The different illustrative embodiments provide a system for autonomous machine management comprising a number of autonomous machines, a number of nodes, a performance estimation module, and a navigation system. The number of autonomous machines is configured to perform area coverage tasks in a worksite. The number of nodes is configured to define a number of worksite areas for the worksite. The performance estimation module is executed by a processor unit and configured to calculate a percentage of work completed in the number of worksite areas. The navigation system is configured to operate an autonomous machine to perform the area coverage tasks and move between the number of worksite areas.

Embodiments of the present invention provide a method implemented by a computer program for detecting and identifying valve failure in a reciprocating compressor and further for predicting valve failure in the compressor. Embodiments of the present invention detect and predict the valve failure using wavelet analysis, logistic regression, and neural networks. A pressure signal from the valve of the reciprocating compressor presents a non-stationary waveform from which features can be extracted using wavelet packet decomposition. The extracted features, along with temperature data for the valve, are used to train a logistic regression model to classify defective and normal operation of the valve. The wavelet features extracted from the pressure signal are also used to train a neural network model to predict to predict the future trend of the pressure signal of the system, which is used as an indicator for performance assessment and for root cause detection of the compressor valve failures.

Described are techniques used in connection with evaluating the performance of proposed swap plans in accordance with past performance data collected. Data is gathered for a first arrangement of a data storage devices for a period of time. A proposed modification to the first arrangement, such as swapping logical volumes of data on one or more storage devices, is produced. A performance estimation is produced using a modeling technique, past performance data, and the proposed modification. The proposed modification may be produced using an automated tool, such as an optimizer, or other input means, such as by a user viewing actual performance data to determine obvious LV swap candidates. The proposed modification may be rejected, or accepted and implemented subsequent to viewing the performance estimation.

The different illustrative embodiments provide a system for autonomous machine management comprising a number of autonomous machines, a number of nodes, a performance estimation module, and a navigation system. The number of autonomous machines is configured to perform area coverage tasks in a worksite. The number of nodes is configured to define a number of worksite areas for the worksite. The performance estimation module is executed by a processor unit and configured to calculate a percentage of work completed in the number of worksite areas. The navigation system is configured to operate an autonomous machine to perform the area coverage tasks and move between the number of worksite areas.

The invention relates to a method for evaluating the lightning protection performance of transmission lines based on the parametric statistics of lightning. The method comprises the following basic steps: firstly, the information of the transmission lines which require the lightning protection performance evaluation is given; secondly, the ground flash density and the probability distribution statistics of the lightning current magnitude within a specified period are performed to the given transmission lines; thirdly, the lightning-stroke trip-out rate in each section of the transmission lines segmented according to a pole tower within the specified period is calculated; fourthly, a reference value is set according to a design value, a specified value or an operation experience value of the lightning-stroke trip-out rate, and the time difference and the space difference of the lightning protection performance of the transmission lines are evaluated according to the lightning-stroke trip-out rate of each section of the transmission lines and a whole line within the specified period, wherein the lightning-stroke trip-out rate is obtained through the calculation in the step three. The method has the advantages that the evaluation to the lightning protection performance of the transmission lines is performed on the basis of the parametric statistics of lightning with time and space differences; the evaluation result of the method to the lightning protection performance of the transmission lines is more reliable, and has more pertinence; and the evaluation to the lightning protection performance of the transmission lines on different times and different spaces is realized.

According to the present invention, the most challenging issues in this work have been to find systematic ways of enabling maintenance engineers to decide an adequate time for the replacement of vacuum pumps on the basis of their current performance assessment result. Further, the comparison of the currently evaluated diagnostics analysis results and the initial (or reference) data set is shown to enable maintenance engineers to decide the replacement of the considered vacuum pump according to the evaluated pump performance indicators. This quantitative diagnostic analysis result is expected not only to enable maintenance engineers to decide an adequate time for the replacement of vacuum pumps on the basis of their current performance assessment results but also to improve the reliability and confidence of the predictive maintenance of low vacuum pumps.

The invention provides a network performance analysis and fault diagnosis method of a distributed system. The method includes the following steps that monitoring service is deployed to the monitored distributed system; management service runs according to characteristics of the distributed system; network topology discovery is carried out; a monitored node set of monitored nodes is determined; the management service collects and analyzes state information of the nodes; the network performance is detected; the network state is analyzed, and possible faults are determined. The states of all network equipment and links participating in a communication path and communication performance between the nodes are taken into consideration, the specific position of fault points can be analyzed and determined according to the network topology information, the fault detection accuracy is improved, and fault detection expenses are reduced. Meanwhile, according to analysis of the performance of the distributed system, the method can provide the actual performance between the nodes of the distributed system instead of the theoretical performance of the network system, and the performance estimation accuracy can be improved.

A comprehensive performance evaluation method for the CNC machine tools based on an improved pull-off method belongs to the technical field of performance evaluation of CNC machine tools. A linear proportional method is used to standardize the performance index data of machine tool. The entropy weight method and mean variance method are used to determine the two objective weights of each level of indicator. Based on the principle of vector A comprehensive evaluation of three-level index is obtained from the linear weighted evaluation function. Finally, a similar method was used to calculate the comprehensive evaluation of a large system layer by layer. The present invention is used for the comprehensive performance evaluation of various CNC machine tools and also for a lateral comparison of specific performance of different machine tools, providing a scientific and possible evaluation method and process for the comprehensive performance evaluation of machine tools.

An intrusion prevention / detection system filter (IPS filter) performance evaluation is provided. The performance evaluation is performed at both the security center and at the customer sites to derive a base confidence score and local confidence scores. Existence of new vulnerability is disclosed and its attributes are used in the generation of new IPS filter or updates. The generated IPS filter is first tested to determine its base confidence score from test confidence attributes prior to deploying it to a customer site. A deep security manager and deep security agent, at the customer site, collect local confidence attributes that are used for determining the local confidence score. The local confidence score and the base confidence score are aggregated to form a global confidence score. The local and global confidence scores are then compared to deployment thresholds to determine whether the IPS filter should be deployed in prevention or detection mode or sent back to the security center for improvement.

Systems and methods are provided for annotating software with performance information. The computer code is compiled into assembler code, the assembler code is translated into a simulation model, expressed in assembler-level source code. The simulation model is annotated with information for calculating various performance parameters of the software, such as timing information, or resource usage information. The simulation model is then re-compiled and executed on a simulator, optionally including a hardware simulation model, and the performance information is computed from the simulation.

The invention provides a detection method of lithium ion battery performance. Under different temperatures, charge and discharge processing is carried out on a lithium ion battery with different charge and discharge rates, lithium detection is carried out on the battery after 3-20 times of circulation, the service lifetime of the battery and the charge safety under different temperatures are estimated and predicted according to whether lithium precipitates out on the surface of a cathode in the battery, and the lithium precipitation degree is used to judge the impedance in the battery, so that the risk is rapidly estimated, the time of battery comprehensive performance estimation is shortened, the estimation efficiency is improved, and the cost of battery performance estimation is lowered, the identification and prevention capability of the battery safety risk is improved, and the testing number is only 10-20 pcs.

The present invention is directed, in one particular implementation, to a cloud computing-based categorization system that comprises at least one electronic database having one or more performance assessment data associated with a plurality of entities matriculated at one or more educational institutions. The system further includes a processor, communicatively coupled to the at least one database, and configured to execute an electronic process that analyzes and converts said performance assessment data. Through one or more modules, the processor is configured to select performance assessment data corresponding to at least one structured assessment data value; and at least one unstructured assessment data set for an individual and evaluate the structured and un-structed data of the individual using an assessment model configured to classify the entity into one of a plurality of assessment categories. The processor is further configured by one or more modules to generate a graphical representation, for display and output to one or more remote users, of the likelihood that the individual is assigned to one of the plurality of assessment categories.

Performance prediction techniques are provided that utilize business-process information such as transaction history and log information. For example, in one aspect of the invention, a computer-based technique for providing a performance prediction service comprises the following steps / operations. First, business-process information associated with a business is obtained. Then, a performance estimation function is generated based at least in part on the business-process information, the performance estimation function being usable in responding to a query obtained from a potential customer of the business.

A system and method for characterizing noise in a quantum system includes determining pulse sequences for unitary twirling operations. Twirling processes are applied to a quantum system to calibrate errors and to determine channel parameters. Noise characteristics are determined from calibration data collected to calibrate the errors and to determine the channel parameters. The noise characteristics are characterized to determine if the noise is independent relaxation of qubits or collective relaxation of qubits.

The invention discloses a vehicle performance remote monitoring system which comprises a vehicle information acquisition device (1)which is arranged on a vehicle and used for acquiring vehicle information. The invention is characterized in that the system also comprises a remote acquisition and control device (2) which communicates with the vehicle information acquisition device (1) through a wireless network, a storage device (3) for storing the vehicle information and a performance analysis device (4) for analyzing and summarizing the vehicle information; the remote acquisition and control device (2) receives vehicle information data transmitted by the vehicle information acquisition device (1) and writes the vehicle information data into the storage device (3); and the performance analysis device (4) reads the vehicle information data in the storage device (3) to carry out performance monitoring. The system can collect data acquired in real time in a remote way, the data is true and reliable and is convenient to process and summarize, and the system can provide more objective vehicle performance estimation results.

The invention discloses a 1553B bus network emulation system applied to a spacecraft system, which belongs to the field of aerospace and computer emulation. The 1553B bus network emulation system comprises a 1553B bus, the Ethernet, a bus network tester, a bus terminal tester, a digital phosphor oscilloscope, a bus separation switch, an emulation terminal, a bus system performance estimation computer and a bus interface control file configuration computer, and is used for emulating and analyzing the information transmission and system running of an actual spacecraft bus system. The 1553B bus network emulation system replaces conventional cable connection with a 1553B bus network, realizes the digitalized transmission and comprehensive utilization of network system information and improves the reliability and electromagnetic compatibility of the system by equipment with standard digital interfaces in combination with Ethernet communication, meets 1553B specifications, realizes coexistence in one network emulation system, can be used for a plurality of stages of analysis, development, test and the like of the spacecraft system and is of great importance to researches on the reliability of the actual spacecraft system.

According to some embodiments, a server may access a data store containing electronic records, each electronic record representing a risk association for an entity in connection with a plurality of relationships, and each electronic record may contain a set of record characteristic values. The server may automatically designate a first sub-set of the set of record characteristic values as fixed effect variables and a second sub-set as random effect variables. A data analytics mixed effect predictive model may then generate, based on the fixed and random effect variables, a future performance estimation value for the risk association of each entity in connection with its plurality of relationships. An indication associated with the future performance estimation value for the risk association of at least one entity in connection with its plurality of relationships may then be transmitted to generate an interactive user interface display.

A voice recognition estimating apparatus for a voice recognition apparatus, including a voice data property generator that generates properties of voice data used to determine, based on an estimation item, a feature of synthetic voice data. The estimation item is used to estimate a performance of the voice recognition apparatus. The voice data property generator includes an acquisition unit that acquires vocabulary data and unnecessary word data as the estimation item. The unnecessary word data indicates an unnecessary word inserted in the vocabulary data and an insertion position of the unnecessary word. The voice data property generator also includes a generator that generates the properties of the voice data. The properties of the voice data include selected voice quality data items, the vocabulary data and the unnecessary word data.

An electronic apparatus and a method of conserving energy comprises providing an energy-conservation module to control use of one or more energy-saving mechanism by a hardware element. The energy-conservation module comprises a performance estimation module that estimates a performance level requirement of the hardware element and a slack time. A cost-benefit qualifier module is provided that uses one or more generic algorithm and at least one separate record that characterises power use and performance by the hardware element in relation to a Performance Power state of the selected energy-saving mechanism in order to determine an existence of an energy saving. The cost-benefit qualifier module sets the hardware element to use the Performance Power state of the selected energy-saving mechanism if the energy-saving exists.

A method and system is described that estimates gas turbine engine module performance changes from gas path measurement data using a linear predictor-corrector estimation process. A measurement configuration matrix MC and a fault configuration FC matrix are assembled. The configuration matrices MC and FC are used to adapt a typical linear predictor-corrector type of performance estimation process to a given measurement suite and are ideally suited for linear estimation systems such as those using a Kalman filter.

There is provided a method and system for obtaining an enhanced estimate of bit error rate performance. A receiver module counts a predetermined number of bit errors and concurrently measures the time taken for the predetermined number of bit errors to occur. In this way an estimate of the bit error rate (BER) is obtained which has the same statistical weight regardless of the numerical value of the BER. The estimate of BER can subsequently be used to optimise the parameters of the system such that the true value of BER is at a minimum.

A tool is described herein for optimizing the design of a hardware-software system. The tool allows a designer to evaluate the potential improvement in system performance that may be realized by moving selected software components of the system to a hardware implementation. In one aspect, the tool automatically generates a performance profile of an original form of the system. The performance profile of the original form of the system may be used to select software components of the system to be moved to hardware. In another aspect, the tool generates an estimated performance profile of a repartitioned form of the system by modifying the performance profile of the system. The estimated performance profile of the repartitioned system is compared to the performance profile of the original form of the system to verify benefits, if any, of repartitioning. Such verification is accomplished without the need to actually repartitioning the system or measuring the performance of the entire repartitioned system.

The invention provides a quality fault locating method based on a federated data driven production process. The quality fault locating method includes the steps: extracting a quality cause and effect topological graph model; establishing a multimoding monitoring model driven by the federated data; based on the rate of contribution and the process knowledge, establishing a performance evaluation index for quality fault diagnosis; and according to the multimoding monitoring model, identifying a quality fault propagation path, and according to the performance evaluation index for quality fault diagnosis, locating a quality fault. Based on process monitoring of topological graph feature extraction and multivariate statistical data driving and machining learning, the quality fault locating method provides federated data driven fault diagnosis being suitable for quality monitoring, provides a new approach for quality fault diagnosis during a production process based on data and knowledge, makes up for the deficiency of traditional statistical process monitoring which is difficult to solve the problem of quality fault propagation path identification and the fault location problem, and can realize accurate and effective quality fault locating and diagnosis by means of quantification-qualitative-quantification federated data driving based on data and knowledge.

The invention provides a monitoring system and method for monitoring running performance of a power grid system in real time. The system comprises one or more monitoring computers used for receiving mass data flow including synchronization phasor measurement values of second-level timestamps, used for storing running performance data of an electric power system, configured to monitor reliability indexes, power gird operation indexes, electric power production indexes and electric power transmission indexes of a wide-area interconnected network, configured to monitor events in data flow of the wide-area interconnected network in real time and analyze and predict future operation conditions, configured to execute event logic detection, and configured to display event analysis results. The method includes the first step of receiving the mass data flow from the wide-area interconnected network, the second step of detecting data in the received data flow, the third step of conducting event analysis, the fourth step of conducting performance evaluation on the grid system, and the fifth step of visually displaying event related measurement results and event analysis results. By means of the system and the method, the managing and scheduling capacity of the whole electric power system can be remarkably improved, and running reliability of the electric power system is effectively ensured.

Quality assessment of probe data collected from GPS systems is performed by a system and method of determining a value of data points provided by different vendors of such data. Incoming raw probe data is initially analyzed for removal of extraneous data points, and is then mapped to roadway links and smoothed out. The resulting output is processed to determine the coverage value of data provided by a given vendor and enable a comparison between different vendors. Such a model of probe data processing also enables an evaluation of a contribution of further vendors of raw probe data to an existing dataset. Additionally, a real-time performance evaluation of continually-ingested probe data includes building historical and data count profiles, and generating output data represented by a number of data points for a specific distance within a geo-box representing a geographical area, to project a value of raw probe data for a next incremental time period.

The invention discloses an inertial navigation alignment performance evaluation method based on main inertial navigation attitude variation quantity assistance. The method comprises the following steps of implementing preheating preparation; performing navigation solution on a main inertial navigation system and a secondary inertial navigation system respectively; constructing a measurement equation of attitude variation quantity; constructing a performance evaluation measurement equation; performing Kalman filtration solution; performing reverse smoothing estimation; acquiring an attitude misalignment angle at a transfer alignment ending moment so as to realize alignment precision evaluation of transfer alignment of the inertial navigation system of a ship-borne weapon. The invention designs the inertial navigation alignment performance evaluation method based on the main inertial navigation attitude variation quantity assistance, linear motion information of GDPS position and speed is taken as main reference information, and the main inertial navigation attitude variation quantity is taken as auxiliary reference information, so that the requirements of accuracy evaluation on mechanical strength of a carrier can be reduced; integral output based on angular rate is taken as an observed value, so the influences on the inertial navigation alignment performance evaluation effect caused by external environmental interferences can be effectively inhibited, and the inertial navigation alignment accuracy evaluation performance of the ship-borne weapon can be improved.

The invention discloses a dynamic preventative maintenance method for electromechanical equipment. The method comprises the following steps of: forecasting a fault; diagnosing a fault; dynamically generating the preventative maintenance method; and estimating preventative maintenance performance and feeding a result. In the method, contents such as the preventative maintenance content, the preventative maintenance mode, the fault damage degree level, the preventative maintenance allowance region and the like of each type of fault mode in each stage of a full life span of the electromechanicalequipment are taken into consideration fully; therefore, a preventative maintenance task sheet can be dynamically generated by aiming at different preventative maintenance targets; and the preventative maintenance task sheet is adjusted according to a feedback result of the preventative maintenance performance estimation.

The invention discloses a workshop layout method of a discrete manufacturing system. The workshop layout method comprises the specific steps: a system UI layer is used for recording workshop equipment and production information to a layout design platform; a model establishing layer is arranged; an inter-row equipment distribution mathematic model, an in-row equipment sorting mathematic model, an inter-procedure batch division mathematic model and a layout scheme performance estimation model are established respectively according to the recorded workshop information; a workshop layout optimization subsystem is arranged; a workshop layout design result estimation and display module is arranged. A user sends a layout design scheme to a server through module permission and workshop management staffs execute optimized results. The workshop layout method has the advantages that the defects that the workshop layout overall performance is reduced, caused by the fact that common layout optimization only considers block layout of a machining station, are avoided. Meanwhile, the optimal distribution of task amounts of an equipment workshop is considered under the condition that a plurality of sets of equipment of front and rear procedures are utilized, and the logistics transportation amount is further reduced by utilizing third-grade optimization.

An electronic apparatus and a method of conserving energy comprises providing an energy-conservation module to control use of one or more energy-saving mechanism by a hardware element. The energy-conservation module comprises a performance estimation module that estimates a performance level requirement of the hardware element and a slack time. A cost-benefit qualifier module is provided that uses one or more generic algorithm and at least one separate record that characterizes power use and performance by the hardware element in relation to a Performance Power state of the selected energy-saving mechanism in order to determine an existence of an energy saving. The cost-benefit qualifier module sets the hardware element to use the Performance Power state of the selected energy-saving mechanism if the energy-saving exists.