29 results about "Electrical analysis" patented technology

The invention discloses a water pump motor fault detection method and system, and belongs to the technical field of detection, and the method comprises the steps: building an electrical operation state model based on current, voltage and three-phase balance degree, and outputting an electrical state coefficient; predicting a resistance degradation trend by using the historical winding / insulation resistance data set, and generating a resistance prediction coefficient; combining the electrical state, the amplitude under the load and the flow of the water pump to construct a vibration-flow matching coefficient; fusing the resistance prediction coefficient, the noise index and the temperature index, and outputting a fault evaluation coefficient through a fault evaluation model; and when the fault evaluation coefficient exceeds a threshold value, shutdown is triggered. The system correspondingly comprises an electrical analysis module, a resistance prediction module, a state evaluation module and a fault decision module. According to the invention, early fault accurate detection is realized by fusing multiple parameters, and the reliability of the water pump motor is improved.

The invention discloses music recommendation equipment, method and system based on electroencephalogram emotion, a terminal and a medium, and relates to the technical field of electroencephalogram analysis, and the equipment comprises a head band structure, an earmuff structure, a forehead part, an electroencephalogram signal acquisition module and a processing module. The earmuff structures are arranged on the two sides of the head band structure through telescopic suites. One end of the forehead part is connected with the earmuff structure, and the other end of the forehead part extends to the forehead part of the user brain and is in contact with the forehead part of the user brain; the electroencephalogram signal acquisition module is embedded in the inner side of the forehead part; the processing module is arranged in the earmuff structure and used for analyzing and processing the electroencephalogram signals collected by the electroencephalogram signal collecting module, identifying emotional state information and generating and recommending music content based on the identified emotional state information. The emotion state is recognized through the electroencephalogram signals, the emotion state and music are synthesized and combined, and a closed-loop interaction adjusting mechanism between the emotion state of the brain of the user and music stimulation can be achieved.

The use of electrical analyzers to monitor and control separation processes is described. The electrical analyzers monitor electromagnetic properties of materials being treated, and are used to adjust the separation process based on the changing electromagnetic properties. The electrical analyzers generally sample process fluid and apply a static or varying electric field to the process fluid while monitoring energy uptake of the process fluid from the electric field by measuring electrical parameters of the circuit. The changing electrical response of the process is related to changing process conditions and can be used to control the process.

The invention discloses an image-based substrate electrical property measurement system and a method thereof. The image-based substrate electrical property measurement system comprises a measurement device and an electrical property analysis device. The measuring device captures and processes a surface image of the substrate to generate line size information of the substrate. The electrical analysis device analyzes the line size information to generate electrical measurement information, and correspondingly establishes substrate electrical distribution information according to the substrate surface image. According to the invention, electrical information such as impedance, resistance and the like of a whole line can be measured, electrical distribution information of the substrate can be generated according to the surface image of the substrate, the electrical distribution state of the substrate is obtained from the image in a visual mode, and the electrical distribution trend of the substrate is analyzed according to the electrical distribution state.

The invention relates to a reliable detector (1) for a radiometric measurement system for determining the density and / or filling level (L) of a content (2) in a container (3). The detector (1) comprises the following components: a scintillator (11) and a photoelectric receiver unit (12) optically connected to the scintillator (11) in order to generate an electrical analysis signal (sa) based on the radioactive radiation intensity entering the scintillator (11). The analysis unit (4, 14) can determine the density or filling level (L) using the analysis signal (sa). According to the invention, the detector (1) is characterized by a reference photoelectric receiver unit (13) which is likewise optically connected to the scintillator (11) in order to generate an electrical reference signal (sr) on the basis of the radioactive radiation intensity entering the scintillator (11). In this way, the evaluation unit (4, 14) can check whether the evaluation signal (sa) and the reference signal (sr) match. If not matching, the detector (1) is classified as a fault. By means of the above redundant design, the detector (1) according to the invention meets the corresponding SIL specification and thus becomes more reliable or maintenance-friendly accordingly.

The application discloses a brain electrical analysis method based on LPP, comprising the following steps: showing a resting state picture to a subject according to a preset relaxation time; showing a plurality of experimental picture groups to the subject in sequence according to a preset experiment time, receiving and recording an input negative emotion intensity evaluation value of the subject after each experimental picture group is shown, and showing a next experimental picture group after a black screen display according to a preset black screen duration; each experimental picture group comprises a resting state picture and a stimulus picture arranged in sequence, and the stimulus picture is a social exclusion picture or a physiological pain picture; collecting brain electrical signals of the subject in the preset relaxation time and the preset experiment time; dividing a plurality of sliding time windows within 300 milliseconds after the stimulus picture appears to the preset stimulus time according to the brain electrical signals, quantifying average amplitudes of LPP of each electrode channel of the subject in the sliding time windows, and comparing; sampling and comparing the brain electrical signals within the preset stimulus time after the stimulus picture appears; and LPP quantification is performed again.

This application belongs to the field of electromagnetic functional structures, and specifically relates to a comprehensive mechanical-thermal-electrical analysis method for functional structures. The method includes: constructing an electromagnetic analysis model of the undeformed functional structure, performing electromagnetic finite element analysis, and obtaining a first RCS analysis result; constructing a thermal analysis model of the undeformed functional structure, applying thermal loads, performing thermal finite element analysis, and obtaining thermal analysis results; constructing a mechanical analysis model of the undeformed functional structure, importing the thermal analysis results, applying force loads, performing mechanical-thermal finite element analysis, obtaining mechanical-thermal analysis results, and extracting node position information; reconstructing the shape based on the node position information to obtain the deformed functional structure; constructing an electromagnetic analysis model of the deformed functional structure, performing electromagnetic finite element analysis, and obtaining a second RCS analysis result; comparing the first RCS analysis result with the second RCS analysis result to obtain the influence of thermal loads and force loads on the RCS performance of the functional structure.

The invention discloses a pump station additionally-started pump set selection method, system and device considering electric constraint and a storage medium, and belongs to the technical field of water conservancy project automation control. According to the method, an innovative framework of'priority ranking + iterative electrical analysis verification 'is provided for solving the problems that an existing pump set starting strategy neglects frequency conversion bus conflict, transformer overload, operation economy and the like. Specifically, after a machine increasing instruction is received, according to a priority primary selection pump set and frequency converter combination, an algorithm based on graph theory depth / breadth-first search is adopted, and multiple electrical verifications such as frequency conversion bus conflict analysis, transformer overload analysis and electricity charge analysis are sequentially carried out. And if the verification is not passed, automatically iteratively selecting a next priority combination until a safe and economic optimal solution is found. According to the method, automation and intelligentization of pump set and frequency converter selection in the augmented scene are achieved, pump starting failure and equipment overload are avoided, the safety and economical efficiency of a pump station are remarkably improved, and the limitation of manual experience decision making is solved.

This application discloses a method, apparatus, storage medium, and computer equipment for assessing the health status of capacitors, belonging to the field of power module technology. Based on the operating data of the power module, thermal analysis is performed to determine a first parameter estimation set and a first quality metric; based on the operating data of the power module, electrical analysis is performed to determine a second parameter estimation set and a second quality metric; based on the first and second quality metrics generated by the thermal and electrical analyses respectively, the first and second parameter estimation sets are adaptively weighted and fused to obtain a high-confidence unified parameter estimation set, and a health status index is generated accordingly. When any measurement method is subjected to specific interference leading to a quality degradation, its weight in the final fusion result is automatically and non-linearly reduced, thereby avoiding the impact of interference on the assessment result, and realizing online, low-disturbance, high-precision, and highly robust assessment of the health status of energy storage capacitors.

A recycling kiosk for recycling and financial remuneration for submission of an electronic device such as a mobile phone is disclosed herein. The recycling kiosk includes electrical connectors and an inspection area with an upper chamber, a lower chamber, a transparent plate and at least one camera in order to perform a visual analysis and an electrical analysis of the electronic device for determination of a value of the electronic device. The recycling kiosk also includes a processor and a display for user interaction.

The invention relates to the technical field of circuit protection, discloses a redundant circuit for electrical stimulation output protection, and aims to solve the problems of missing detection, single monitoring mode and insufficient reliability when only one monitoring data is adopted to evaluate the safety of electrical stimulation output in the prior art. According to the technical scheme, electrical stimulation is monitored from the perspective of hardware and software, a built hardware structure is used for comparing current and charge quantity in a stimulation loop with a threshold value, various pulse data are compared from the perspective of hardware, and the stimulation loop is cut off to form hardware protection when the current and charge quantity exceed the threshold value. Moreover, the control unit is used for carrying out the electrical analysis of a sampling signal, and determining whether to cut off a stimulation loop or not through the comparison of a pulse signal parameter with a threshold value, thereby achieving the protection of a software angle. The electrical stimulation is monitored from the aspects of software and hardware, the reliability of the circuit is improved, various data are collected for analysis and comparison, the monitoring comprehensiveness is improved, and missing detection is avoided.

The invention relates to a method and a sensor for detecting and / or quantifying a set of hematological parameters in a blood or derived biological fluid sample, the set of hematological parameters comprises at least one parameter selected from the group consisting of the number (RC) of a blood cell component in the blood or derived biological fluid, the average blood cell volume (MCV) of said blood cell component, the percentage (HCT) of the blood cell component in the sample volume and the amount of at least one substance (Hb) comprising a protoporphyrin metal complex. The invention also relates to a method for producing the electrical analysis sensor.

Apparatuses, systems, kits and methods include a diagnostic probe having a first end and a second end opposite the first end and being configured to perform an electrical analysis on the electrical component and provide an output of the electrical analysis. In some instances, an electrical test device configured to energize an electrical component, via a conductive probe element, and perform one or more electric measurements thereon is also included, where the test device includes a housing. Additionally, a conductive probe element configured to be energized by the electrical test device and placed in contact with the electrical component may energize the electrical component when energized by the electrical test device.

The present invention discloses a system and method for monitoring the depth of anesthesia based on skin electrical signal analysis. The system includes a dynamic skin electrical analysis subsystem, a dynamic signal enhancement and adaptive noise reduction processing subsystem, a polymorphic fusion deep network subsystem, and a reinforcement learning-driven adaptive controller. The method is implemented based on the system. The present invention provides an accurate anesthesia depth monitoring solution through multimodal analysis of skin electrical signals; based on an adaptive drug adjustment algorithm and reinforcement learning, it realizes real-time adjustment of anesthesia depth to prevent anesthesia from being too deep or too shallow; combined with individual differences of patients, personalized anesthesia management is performed to improve anesthesia safety; compared with traditional electroencephalogram methods, the GSR signal acquisition method is non-invasive and more comfortable, which is convenient for long-term monitoring of patients; through innovative signal processing, deep learning and adaptive adjustment mechanisms, it can provide a more intelligent, accurate and personalized anesthesia depth monitoring solution.

The present disclosure provides a 3D organoid analysis cell chip adapted to perform non-destructive electrical analysis on a 3D organoid in real time, whereby the chip allows for multiple experiments through safe handling of organoids and can acquire research outcomes such as real-time drug response monitoring, evaluation of growth depending on size changes, metabolic analysis, etc., more rapidly compared to conventional technologies, through non-destructive real-time electrical analysis, reduce variables for failure risk factors during culture and analysis, and find technical applications in various technical fields with high measurement sensitivity.

A recycling kiosk for recycling and financial remuneration for submission of a mobile telephone is disclosed herein. The recycling kiosk includes an inspection area with at least one camera and a plurality of electrical connectors in order to perform a visual analysis and an electrical analysis of the mobile telephone for determination of a value of the mobile telephone. The recycling kiosk also includes a processor, a display and a user interface.

The utility model relates to the technical field of building electrical analysis, in particular to an intelligent building electrical energy consumption analyzer which comprises an analysis instrument and a protection device, one side of the analysis instrument is fixedly connected with a central control screen, the protection device is arranged on the surface of the analysis instrument and comprises a rotating ring, and the rotating ring is rotationally connected with the analysis instrument. The upper surface of the rotating ring is fixedly connected with a sliding sleeve, the inner wall of the sliding sleeve is connected with a connecting rod in a sliding mode, and the upper surface of the connecting rod is fixedly connected with a rod body. In the aspect of protection, when an analytical instrument is idle, an effective protective screen is formed for the central control screen, collision, scraping, dust and water vapor are resisted, the damage risk is reduced, and the service life is prolonged; during carrying, the pinch plate can be contracted and narrowed inwards under stress to fit a hand holding habit, and the pinch plate is matched with the lifting rod body, so that an operator can apply force easily, the carrying burden is relieved, and the safety of the instrument in the carrying process is guaranteed.

The invention relates to the technical field of UPS state monitoring, and discloses a UPS state monitoring and early warning system. The UPS state monitoring and early warning system comprises an electrical data acquisition module, a non-electrical data acquisition module, a state analysis module and a monitoring and early warning module. According to the system, an electrical analysis unit performs analysis and calculation based on all data in an electrical data acquisition module to obtain a first influence coefficient, and sends the first influence coefficient to a monitoring and early warning module to judge whether early warning is performed or not, and if early warning is not performed, a non-electrical analysis unit is called; the non-electrical analysis unit performs comprehensive analysis and calculation based on all data in the non-electrical data acquisition module and the first influence coefficient to obtain a second influence coefficient, and sends the second influence coefficient to the monitoring and early warning module to judge whether to perform early warning or not. And the comprehensive judgment of the early warning of the UPS is realized in combination with implicit factors, so that the early warning of the state in advance is realized.

This invention discloses a method and system for fault detection of a water pump motor, belonging to the field of detection technology. The method includes: constructing an electrical operating state model based on current, voltage, and three-phase balance, and outputting electrical operating state coefficients; predicting resistance degradation trends using historical winding datasets and insulation resistance datasets, and generating resistance prediction coefficients; constructing vibration-flow matching coefficients by combining load amplitude and water pump flow rate; fusing the resistance prediction coefficients, noise index, and temperature index, and outputting fault evaluation coefficients through a fault evaluation model; and triggering shutdown when the fault evaluation coefficients exceed a threshold. The system includes modules for electrical analysis, resistance prediction, state assessment, and fault decision-making. This invention integrates multiple parameters to achieve accurate early fault detection and improve the reliability of water pump motors.

The invention relates to the field of biological cell evaluation, and discloses a method for quickly evaluating the state of fish somatic cells or cell membranes based on biological impedance electrics, which comprises the following steps: S1, selecting fish somatic cell samples, and sampling the selected fish somatic cell samples; s2, performing biological impedance electrical information acquisition on the fish somatic cell sample selected in the step S1 by using biological impedance measuring equipment; and S3, substituting the cell state, cell membrane state and ATP content information acquired in the step S1 and the biological impedance electrical information acquired in the step S2 into a principal component analysis algorithm for analysis and association. According to the biological impedance electrical technology, the cell state evaluation process which needs at least two days to be completed in a traditional method is shortened to be within five minutes, the four-electrode method is matched with the broadband alternating-current electric signals to collect biological impedance parameters, complex pretreatment such as tissue slicing and dyeing is not needed, and cell state information can be obtained directly through body surface measurement.

A classification device (300) for classifying an electrical input signal is described herein, the classification device (300) comprising: an input node for receiving the electrical input signal (S); a reference circuit (130) configured to generate an electrical reference signal (R); a memristive structure (110e, 210m) configured to produce an electrical response signal (RS) as a function of both the electrical input signal (S) received at the input node and the electrical reference signal (R) produced by the reference circuit (130); an electrical analysis circuit (120) coupled to the memristive structure (110e, 210m) to determine one or more properties of the electrical response signal (RS) produced by the memristive structure (110e, 210m);and one or more processors (170) configured to determine a class (C) associated with the electrical input signal (S) based on one or more properties of the electrical response signal (RS) determined by the electrical analysis circuit (120).

The invention discloses an automatic grading method and system for solar photovoltaic panel products, and relates to the technical field of automatic grading of photovoltaic panels. The automatic grading method for the solar photovoltaic panel product comprises the following steps: acquiring IV curve data and ultraviolet fluorescence image time sequence data of the solar photovoltaic panel product; performing electrical analysis processing on the IV curve data, and extracting an electrical attenuation characteristic value; and based on a pre-trained photovoltaic ultraviolet aging mapping model, performing ultraviolet feature decoding processing on the ultraviolet fluorescence image data to obtain an aging significant feature value, and performing comprehensive analysis on the aging significant feature value and an electrical attenuation feature value to obtain a recovery residual value score of the solar photovoltaic panel product. According to the invention, automatic grading processing is carried out on the solar photovoltaic panel product through grading of the recovery residual value, so that comprehensive evaluation of the recovery value of the photovoltaic panel is realized, and it is ensured that the grading result can truly reflect the actual state of the photovoltaic panel.

The invention discloses a TEM-imitated copper mesh type thermal and electrical analysis chip and a manufacturing method thereof.The chip comprises a silicon substrate and insulating dielectric layers deposited on the upper surface and the lower surface of the silicon substrate, the shape and the size of the silicon substrate are matched with those of a TEM copper mesh, and hollowed-out areas are arranged on the silicon substrate and the insulating dielectric layers on the lower surface in a penetrating mode to serve as observation windows; a circuit module is deposited on the surface of the upper surface insulating dielectric layer above the hollow area, the circuit module comprises two groups of heating coils, two groups of electrical measuring electrodes and a temperature measuring electrode, the two groups of electrical measuring electrodes are comb-shaped and are arranged between the two groups of heating coils up and down, the temperature measuring electrode is arranged on the outermost side of one group of electrical measuring electrodes, and the temperature measuring electrode is arranged on the outer side of the other group of electrical measuring electrodes. The circuit module is connected with an external measuring circuit. The chip provided by the invention not only adapts to morphology characterization of a TEM conventional sample rod, but also adapts to a special sample rod, can be used for synchronously performing heating and electrical property measurement while observing a sample, and is beneficial to in-situ research on nucleation growth, structural evolution and corresponding physical property change of a material in the TEM.

A module for an electrolysis plant is disclosed, comprising a plurality of electrolysis stacks, in particular proton exchange membrane electrolysis stacks, the module includes two connections for connecting to a power supply, where the module comprises multiple outer surfaces, wherein the two connections for connection to the power supply are arranged towards a first outer side of the module, the module includes a power supply system that electrically connects the electrolysis stacks to the connections for connection to the power supply.

1. Name of the product in this design: EEG amplifier. 2. Purpose of this design: This product is used to collect and amplify human brain electrical signals, and in conjunction with brain electrical analysis software, to monitor, record and analyze brain electrical activity. It is mainly used in medical institutions, research institutes and rehabilitation centers for brain function assessment and auxiliary diagnosis of neurological diseases. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view.

The application discloses a pump station pump group selection method, system, device and storage medium considering electrical constraints, and belongs to the technical field of water conservancy engineering automation control. The method aims at the problems that the existing pump group starting strategy ignores frequency bus conflict, transformer overload and operation economy, and proposes an innovative framework of "priority sorting + iterative electrical analysis verification". Specifically, after receiving the machine increasing instruction, the priority is selected according to the combination of the pump group and the frequency converter, the algorithm based on graph theory depth / breadth priority search is used, and multiple electrical verifications such as frequency bus conflict analysis, transformer overload analysis and electricity cost analysis are carried out in turn. If the verification fails, the next priority combination is automatically selected, and the optimal solution is found until the safe and economic solution is found. The application realizes the automation and intelligentization of the selection of the pump group and the frequency converter in the increasing field, avoids the pump starting failure and equipment overload, significantly improves the safety and economy of the pump station, and solves the limitations of manual experience decision.

A recycling kiosk for recycling and financial remuneration for submission of an electronic device such as a mobile phone is disclosed herein. The recycling kiosk includes electrical connectors and an inspection area with an upper chamber, a lower chamber, a transparent plate and at least one camera in order to perform a visual analysis and an electrical analysis of the electronic device for determination of a value of the electronic device. The recycling kiosk also includes a processor and a display for user interaction.

Apparatuses, systems, kits and methods include a diagnostic probe having a first end and a second end opposite the first end and being configured to perform an electrical analysis on the electrical component and provide an output of the electrical analysis. In some instances, an electrical test device configured to energize an electrical component, via a conductive probe element, and perform one or more electric measurements thereon is also included, where the test device includes a housing. Additionally, a conductive probe element configured to be energized by the electrical test device and placed in contact with the electrical component may energize the electrical component when energized by the electrical test device.

The invention provides a non-contact optical measurement system and method for improving contact-type electrical measurement. The non-contact optical measurement system for improving contact-type electrical measurement comprises a sensing device, an image measurement module and an electrical measurement evaluation module. The sensing device detects a target area of the substrate to obtain a line image. The image measuring module is coupled with the sensing device, and analyzes the line of the target area on the substrate according to the line image so as to obtain line size information of the line. The electrical measurement evaluation module evaluates the contact-type electrical measurement information of the line in the target area according to the line size information. According to the invention, a high-precision optical measurement technology is used, comprehensive electrical analysis on any point and region on the substrate is realized, and limitations of contact interference, contact area and the like existing in contact type electrical test (such as based on a time domain reflection measurement technology) are overcome.