59 results about "Performance factor" patented technology

A turbomachine includes an annular casing and a fan disposed inside the annular casing and mounted for rotation about an axial centerline. The fan includes fan blades that extend radially outwardly toward the annular casing. The fan has an average chord fan width according to a first performance factor. The fan has a quantity of fan blades according to a second performance factor.

A method and system for operating a device includes generating a first set of raw data, reducing the first set of data using a plurality of reductions to obtain reduced sets of data and a performance factor for each reduced data set to determine an inflection point relative to the performance factor, determining a second data set reduced from the set of raw data based on a reduction from the plurality of compressions at or below the inflection point, and controlling the device based on the second data set.

The embodiment of the invention provides a performance bottleneck determination method and device. When the method is executed, firstly, real-time resource consumption data and real-time performance index data of tested equipment are obtained; determining whether the performance of the tested equipment is abnormal or not according to the real-time performance index data; if the performance is abnormal, determining candidate bottleneck resources according to the real-time resource consumption data; determining resource performance influence factors of the candidate bottleneck resources; wherein the resource performance impact factor of the candidate bottleneck resource indicates the contribution degree to the performance abnormality; and determining a performance bottleneck according to the resource performance impact factor of the candidate bottleneck resource, the performance bottleneck being a resource of which the resource performance factor accords with a preset condition in the candidate bottleneck resource. Therefore, the performance index data, the resource consumption data and other data which comprehensively reflect the real state of the tested equipment are utilized, the problem that the identification and positioning precision is insufficient due to the fact that a single index is utilized for identifying and positioning the performance bottleneck is solved, and the precision of identifying and positioning the performance bottleneck is improved.

The invention relates to an intelligent control type refrigerating device which comprises a water chilling unit and an external online cleaning device, the water chilling unit comprises a condenser and an evaporator which are matched with each other, temperature sensors used for testing respective internal saturation temperature are arranged in the condenser and the evaporator respectively, and the temperature sensors are in communication connection with the online cleaning device. The on-line cleaning device comprises a ball dispenser, a ball receiver, and a pipeline and an electromagnetic valve which are connected with the water chilling unit; according to the refrigerating device, the instantaneous coefficient of performance (COP) or the periodic coefficient of performance (COPP) of the water chilling unit is accurately calculated and displayed in real time through a high-precision measurement means, and the water chilling unit is ensured to operate in a high coefficient of performance (COP) value interval through an intelligent adjustment control method. The heat exchange efficiency is improved, and the performance coefficient of the water chilling unit is improved.

The invention discloses an aircraft performance monitoring method, device, terminal and system and a storage medium, and the method comprises the steps: obtaining a preprocessed flight data stream from an airborne flight data preprocessing device in the flight process of a target leg, analyzing and processing the flight data meeting the effective leg screening condition in the preprocessed flight data stream to obtain the flight data of the effective leg; based on the flight data of the effective leg, calling an embedded performance factor analysis logic to carry out performance factor analysis so as to obtain a performance factor of the effective leg; and in response to a flight end instruction of the target leg, displaying a performance monitoring result on a display based on the performance factor of each effective leg. According to the invention, while the timeliness of airplane performance monitoring is improved, the interference on airborne system data is avoided, the safety is ensured, and an airplane crew can master the performance condition of an airplane in time.

Apparatus and methods for maintaining approximate uniformity of aging of equivalent processing circuits in a pipeline stage(S) in a processor are disclosed. The processor includes one or more processing units that include one or more pipelines. A pipeline includes a series of pipeline stages each of which performs a particular function. In this regard, the processor also includes an age management circuit (AMC) configured to store performance factors indicative to aging of the equivalent processing circuits in a pipeline stage. In response to work input into a given pipeline stage, the AMC is further configured to route the work input to one of the equivalent processing circuits in the pipeline stage based on the stored performance factors. In so doing, the AMC controls the frequency of use of the equivalent processing circuits in its pipeline stage to substantially maintain uniform aging of the equivalent processing circuits.

A computer-implemented method for optimizing robotic device performance includes receiving, by a processor, environmental data (104) associated with one or more robotic devices (110) and an environment (102), where the one or more robotic devices (110) are configured to perform one or more activities in the environment (102); analyzing the environment data (104) and one or more activities in the environment (102); identifying one or more performance factors associated with the environment (102); generating one or more simulations associated with the one or more performance factors in the environment (102) and the one or more robotic devices (110); and applying the one or more protection components (114A-114N) to the one or more robotic devices, wherein applying the one or more protection components (114A-114N) to the one or more robotic devices (110) is based at least in part on the one or more simulations. A system and a computer program product are also provided.

The invention relates to the field of material science and engineering, and discloses a big data-driven intelligent gold bonding wire system performance prediction method, which comprises the following steps: constructing a gold wire physical model of a gold bonding wire, defining a data-driven network architecture of the gold bonding wire, and determining a data-driven model of the gold bonding wire; defining a GANs network of the intelligent gold bonding wire system, analyzing the gold wire feature tuple of the gold bonding wire, and training the gold wire physical model and the data driving model to obtain a trained gold wire physical model and a trained data driving model; analyzing physical model performance and driving model performance of the training gold wire physical model and the training data driving model, and coupling the training gold wire physical model and the training data driving model to obtain a mixed gold wire analysis model; and capturing a performance factor dependency relationship of the gold bonding wire, analyzing a potential performance coefficient of the gold bonding wire by using the mixed gold wire analysis model, and constructing a performance analysis report of the gold bonding wire. The performance analysis effect of the gold bonding wire can be improved.

A method includes receiving a plurality of configurations comprising a first configuration for provisioning a first set of network services at a first resource of an edge device and a second configuration for provisioning a second set of network services at the first resource, a first configuration group identifier identifying a configuration group for the first configuration, and a first network performance parameter for the configuration group. The method further includes determining a performance factor for the first resource providing the first set of network services to one or more client devices. The method further includes, in response to determining that the performance factor does not satisfy the first network performance parameter for the configuration group and that the first configuration group identifier identifies the configuration group for the first configuration, moving the first configuration from the first resource to a second resource of the edge device.

Embodiments of the present application disclose a resource scheduling method, a terminal device and a storage medium. The resource scheduling method comprises: obtaining current application scenario information; selecting a corresponding user perception model according to the current application scenario information; the user perception model represents a corresponding relationship between a user perception score and a time delay; determining a pre-configured reference point corresponding to the user perception model; and performing model conversion on the user perception model based on the pre-configured reference point to obtain a performance factor and time delay corresponding relationship; determining a real-time performance factor corresponding to a real-time time delay based on the performance factor and time delay corresponding relationship, so as to adjust the performance capability of a frequency adjustment scheduling mechanism by using the real-time performance factor when the real-time time delay arrives.

The present technology relates to an apparatus and method for predicting quality of a product and a computer program and is directed to providing a solution capable of increasing a manufacturing yield of finished products and reducing a discard rate by verifying a tolerance range of a process factor applied to a product manufacturing process and optimizing a tolerance range of an unverified process factor. The present technology may provide a configuration in which a second target value of a performance factor of the finished product and an uncertainty range of the second target value are predicted from a first target value of a target process factor applied to a target manufacturing process and a tolerance range of the first target value using the performance prediction model, and the predicted uncertainty range is compared with a predefined reference range to verify the tolerance range of the first target value.

The present application relates to the technical field of industrial process control and intelligent manufacturing, in particular to a wood shaving mixture quality control and efficiency optimization management system, comprising a performance factor deconstruction unit for collecting real-time agent attribute data to generate an agent attribute vector; converting the agent attribute vector into a standardized performance factor vector; a total factor exposure evaluation unit for calculating a real-time total factor vector; solving the factor deviation degree of the real-time total factor vector and an ideal factor vector; and discriminating the factor deviation degree to generate a qualified signal, a first-level deviation signal or a second-level deviation signal; a formula dynamic optimization unit for constructing a cost-benefit optimization function, solving a new mixing ratio and issuing an execution; a model closed-loop correction unit for constructing a performance prediction model; and updating a factor mapping matrix; the present application solves the technical problem of difficult unified management and evaluation caused by high heterogeneity of raw materials, effectively ensuring the stability of the final product quality.

The application discloses a signal processing combination performance verification system based on DSP communication test, relates to the real-time test technical field of a digital signal processor, and specifically comprises: a homomorphism copying module, a slot injection module and a performance judgment module; the dynamic configuration parameters of a current DSP operation core are captured in real time through hardware sniffing of a bus, and the dynamic configuration parameters are mirrored to shadow registers; a peek unit is used to identify the bubble period of a pipeline through prediction logic; at the moment when the main computing unit is in a waiting period, the operation of the shadow register group is enabled by hardware, a preset characteristic test vector is input into a computing engine, and a shadow operation is completed; the real-time data flow of a main path and the reference data flow of a shadow path are compared in time domain and frequency domain by a hardware comparison array, the second derivative of a response time delay is calculated, a comprehensive performance factor is output, online verification of the combination performance of a DSP signal processing is realized, fault types can be accurately distinguished, and the reliability and maintainability of the system are improved.

This invention discloses a method and apparatus for causal structure discovery based on expert knowledge correction, comprising: determining a performance factor dataset of a target protocol; obtaining an adjacency matrix of the target protocol obtained based on expert knowledge; training a preset autoencoder based on the performance factor dataset and the adjacency matrix, and determining a target causal graph based on the model parameters during training. This invention trains a preset autoencoder based on the adjacency matrix of the target protocol obtained based on expert knowledge and the performance factor dataset, and determines the target causal graph based on the model parameters during training, thereby obtaining the causal structure of the target protocol on performance influencing factors. This fully utilizes expert knowledge and improves the accuracy of generating the causal graph.

The application discloses a harmonic distributed treatment method based on a self-learning algorithm, and belongs to the field of harmonic treatment of distribution networks. The method adopts a voltage detection active power filter (VDAPF) to treat harmonics, and the key to distributed treatment of a "double-high" distribution network is proposed. The application proposes a method for quantifying the global treatment effect and the degree of participation of VDAPF in collaborative treatment, respectively, to obtain a preliminary performance factor. The preliminary performance factor is converted into a final performance factor based on a self-learning algorithm, and the local control G-U lifting adjustment characteristics of the VDAPF are combined to realize self-organizing distributed optimization of treatment equipment in a distributed treatment system. The harmonic distributed treatment method based on the self-learning algorithm can solve the problem that scattered treatment is not applicable due to the intensification and decentralization of harmonic sources, and can change passive harmonic treatment into active harmonic treatment.

The invention relates to the technical field of copper pipe optimization, in particular to a small-diameter thin-wall threaded pipe parameter optimization method and system, and the method comprises the steps: determining an initial pipe type parameter group of a small-diameter thin-wall threaded pipe according to use demand parameters, building a corresponding threaded pipe three-dimensional model, and carrying out a simulation test; determining a geometric improvement factor and a comprehensive performance factor according to a simulation test result, and adjusting the initial pipe type parameter set of the small-diameter thin-wall threaded pipe according to numerical values and fluctuation trends of the geometric improvement factor and the comprehensive performance factor to obtain a test pipe type parameter set; according to the test tube type parameter group, carrying out a simulation test under the condition of full permutation and combination considering the parameters of the plurality of small-diameter thin-wall threaded tubes, and obtaining a plurality of series tube type parameter groups under the condition of full permutation and combination; screening and integrating a series of tube type parameter groups, and establishing a tube type parameter contrast performance database; therefore, an optimal solution meeting the use requirements is determined, and standardized storage and multi-dimensional analysis of parameters and performance data are realized.

A method for controlling a power factor correction (PFC) is proposed. The PFC is used to absorb input power and deliver power to a load via a DC / DC converter. The method is executed by a PFC controller, which incorporates a voltage regulator. The method comprises: receiving a first signal transmitted by a DC / DC controller used to regulate the DC / DC converter, where the first signal specifies the load; deriving a second signal based on the first signal, where the second signal is an expected power control signal from the voltage regulator under the load specified by the first signal; and configuring the voltage regulator according to the second signal to provide an output voltage V. Bulk to keep the PFC stable at the DC / DC converter.

The invention discloses a method and a system for evaluating the protection effect of a surge protection device of a photovoltaic system. The method comprises the following steps: acquiring working parameters of the surge protection device and corresponding environment parameters in real time; calculating each performance index of the surge protection device according to the working parameters of the surge protection device; comparing each performance index of the surge protection device with the performance index under the standard condition, and calculating the performance change; according to the performance change and the change of the environmental parameters, carrying out environmental sensitivity analysis, and calculating a sensitivity coefficient; according to each performance index of the surge protection device and an actually required performance index, calculating a fitness score; based on the fitness score and the sensitivity coefficient, obtaining an environment fitness comprehensive score; and evaluating the protection effect of the surge protection device according to the comprehensive score of the environment adaptation degree. Influences of various performance factors and environmental factors are considered, and the protection effect of the surge protection device in a real environment is accurately reflected.

The invention relates to the technical field of bid invitation projects, and discloses an unmarked bid invitation purchase project node chain type synthesis method, which comprises the following steps of: obtaining a project correlation judgment basis field set corresponding to each project node according to a preset importance coefficient; constructing a project basis field model for the project correlation judgment basis fields, and outputting a plurality of field historical performance factors corresponding to a project correlation judgment basis field set; calculating a project node correlation degree magnitude of the project correlation judgment basis field set based on the field historical performance factor; judging whether the plurality of project nodes belong to the same project or not according to the relationship between the project node association degree magnitude and a preset project node association degree magnitude, synthesizing the project nodes belonging to the same project, and quantitatively analyzing the association of the field information of each project node, according to the invention, high-accuracy automatic chain-type synthesis of bid-invitation purchasing project nodes is realized, so that the problem of'information isolated island 'is solved, and a complete and accurate bid-invitation project is formed.

The invention relates to the technical field of industrial process control and intelligent manufacturing, in particular to a wood shaving mixing quality control and efficiency optimization management system which comprises a performance factor deconstruction unit used for collecting real-time agent attribute data to generate agent attribute vectors; converting the proxy attribute vector into a standardized performance factor vector; the total factor exposure evaluation unit is used for calculating a real-time total factor vector; calculating the factor deviation degree of the real-time total factor vector and the ideal factor vector; the factor deviation degree is judged, and a qualified signal, a first-level deviation signal or a second-level deviation signal is generated; the formula dynamic optimization unit is used for constructing a cost-benefit optimization function, solving a new mixing proportion and issuing and executing the new mixing proportion; the model closed-loop correction unit is used for constructing a performance prediction model; updating the factor mapping matrix; the technical problem that unified management and evaluation are difficult due to high heterogeneity of raw materials is solved, and the quality stability of final products is effectively guaranteed.

The present disclosure provides a feature disturbance-based pavement performance key factor identification method and system, relating to the technical field of performance factor identification, comprising obtaining the characteristic performance and geometric parameters of the road pavement, and constructing a scaled model of the road pavement; obtaining a plurality of performance influencing factors that affect the road pavement, inputting the performance influencing factors into a neural network model for extreme feature disturbance, adjusting the values within the range of [0, 1] by setting the maximum and minimum values, observing the changes in the output results of the neural network model, and preliminarily determining the key factors that have a great influence on the output results of the neural network model; repeatedly inputting the obtained key factors into the neural network model and verifying the accuracy of the selected key factors in a probabilistic manner. The present disclosure can accurately obtain the performance key factors generated by the change of the pavement.

A turbomachine includes an annular casing and a fan disposed inside the annular casing and mounted for rotation about an axial centerline. The fan includes fan blades that extend radially outwardly toward the annular casing. The fan has an average chord fan width according to a first performance factor. The fan has a quantity of fan blades according to a second performance factor.

Apparatus and methods for maintaining approximate uniformity of aging of equivalent processing circuits in a pipeline stage(s) in a processor are disclosed. The processor includes one or more processing units that include one or more pipelines. A pipeline includes a series of pipeline stages each of which performs a particular function. In this regard, the processor also includes an age management circuit (AMC) configured to store performance factors indicative to aging of the equivalent processing circuits in a pipeline stage. In response to work input into a given pipeline stage, the AMC is further configured to route the work input to one of the equivalent processing circuits in the pipeline stage based on the stored performance factors. In so doing, the AMC controls the frequency of use of the equivalent processing circuits in its pipeline stage to substantially maintain uniform aging of the equivalent processing circuits.

A turbomachine includes an annular housing and a fan disposed inside the annular housing and mounted for rotation about an axial centerline. The fan includes fan blades extending radially outward toward the annular housing. The fan has an average chord fan width according to a first performance factor. The fan has a number of fan blades according to a second performance factor.

The application relates to the technical field of vehicle component fault diagnosis, in particular to a fault diagnosis method and device for a multi-catalytic system, wherein the method comprises the following steps: acquiring rear oxygen voltage signals of at least two catalytic converters in a vehicle exhaust system; calculating relative performance factors between the at least two catalytic converters according to the rear oxygen voltage signals of the at least two catalytic converters; and identifying a fault diagnosis result of the multi-catalytic system according to the relative performance factors and a comparison threshold. Therefore, the problem that, in the related art, different catalytic converters on the same vehicle can cause manufacturing tolerances, installation positions and uneven heat load distribution, leading to inconsistent performance decay rates and further affecting the fault diagnosis precision of the catalytic converters is solved.

The invention relates to a method for operating an SCR system having a suction line and a return line of an internal combustion engine, in which at least one dosing valve doses a reagent upstream of at least one SCR catalyst, the reagent being fed from a tank to the dosing valve at a constant pressure by means of an actuatable pump, the method is characterized by the following steps: determining the rigidity for the SCR system; -determining a performance factor for a pump of the SCR-system; determining a first consumption deviation; -determining a correction function as a function of the temperature of the urea liquid, the rigidity and the performance factor; determining a corrected consumption deviation from the first consumption deviation and the correction function; the corrected consumption deviation is compared with a second consumption deviation which can be specified, and whether the urea liquid is dispensed excessively or insufficiently for the SCR system is determined from the comparison.

The present invention relates to the field of materials science and engineering, and discloses a big data driven intelligent gold bonding wire system performance prediction method, comprising: constructing a gold wire physical model of the gold bonding wire, defining a data driven network architecture of the gold bonding wire, and determining a data driven model of the gold bonding wire; defining a GANs network of the intelligent gold bonding wire system, analyzing the gold wire feature tuple of the gold bonding wire, training the gold wire physical model and the data driven model, and obtaining a training gold wire physical model and a training data driven model; analyzing the physical model performance and driving model performance of the training gold wire physical model and the training data driven model, coupling the training gold wire physical model and the training data driven model, and obtaining a hybrid gold wire analysis model; capturing the performance factor dependency of the gold bonding wire, analyzing the potential performance coefficient of the gold bonding wire using the hybrid gold wire analysis model, and constructing a performance analysis report of the gold bonding wire. The present invention can improve the performance analysis effect of the gold bonding wire.

An apparatus and method for maintaining substantially uniform aging of equivalent processing circuitry in a pipeline stage of a processor are disclosed. The processor includes one or more processing units, each including one or more pipelines. Each pipeline includes a series of pipeline stages, each performing a specific function. In this regard, the processor also includes an aging management circuit (AMC) configured to store performance factors indicative of aging of the equivalent processing circuitry in the pipeline stages. In response to a work input in a given pipeline stage, the AMC is further configured to route the work input to one of the equivalent processing circuitry in the pipeline stage based on the stored performance factors. Thus, the AMC controls the frequency of use of the equivalent processing circuitry in its pipeline stage to substantially maintain uniform aging of the equivalent processing circuitry.

A system and method for ranking computing resources in a distributed computing marketplace is disclosed. Ranking may be based on the performance factors that the system predicts will have the greatest impact on the particular application the user plans to run. A performance database stores historical performance data for applications that have been executed on multiple different computer systems. The database is checked to see if the application, or one similar, has already been run on any of the computing systems participating in the distributed computing marketplace. If so, the existing performance data is used to predict which performance factors will have the greatest impact on the application. Those factors are then used to rank the available computing systems options for the user.