12 results about "Electrical analysis" patented technology

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.

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.

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 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.

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.

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.

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.