2229results about "Machine valve testing" patented technology

The invention relates to the technical field of remote monitoring, in particular to a valve state monitoring system based on cloud computing, which comprises a state data acquisition module, a sealing attenuation analysis module, a sudden change point identification module, a leakage anomaly detection module and an anomaly trend early warning module. According to the method, the valve pressure change rate, the periodic flow change trend, the opening and closing torque increment and the micro-pressure change rate in unit time are calculated, quantitative analysis is conducted on the attenuation trend of the sealing performance, the sudden change point types are accurately distinguished in combination with the pressure and flow instantaneous sudden change amplitude, the pressure offset before and after the sudden change points, the flow recovery time and the torque change, and therefore the sealing performance is improved. The method comprises the following steps: comprehensively analyzing a pressure recovery rate, a unit time pressure release rate and a non-zero flow mean value in a closed state after a sudden change point occurs, synchronously calculating a valve leakage trend change rate and a trend offset, comprehensively analyzing an opening and closing torque change condition, determining a leakage trend growth rate, dynamically evaluating a leakage risk level, and determining a valve leakage risk level. And the valve fault prevention capability is enhanced.

The invention provides a valve actuator full life cycle intelligent test system and method. The system comprises a combined load generation module used for generating an initial dynamic proportion of axial thrust and radial disturbance force according to a test protocol instruction, simulating a comprehensive stress state of an actuator under the impact of a pipeline medium, and outputting mechanical data containing thrust fluctuation characteristics in real time; the environment coupling module is used for dynamically adjusting an environment stress condition according to the test protocol instruction; the digital twinborn analysis module is used for comparing the actual displacement track of the actuator with the theoretical model track through a space-time alignment algorithm according to the mechanical data and environmental stress conditions to obtain a deviation feature vector; and the intelligent diagnosis module is used for carrying out dynamic time warping matching on the basis of the deviation feature vector and a preset historical fault database, outputting a fault type identification code and confidence, and generating a test report. According to the scheme, the accuracy of accurate evaluation of the full life cycle state of the valve actuator is improved.

The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-assisted valve fault diagnosis system, which comprises a nonlinear fault feature analysis module, an operation pressure anomaly identification module, a structural stress influence evaluation module, a fault influence range judgment module and a valve fault trend speculation module. According to the method, accurate capture of fault features and efficient screening of key feature points are achieved by comprehensively collecting and analyzing vibration signals, opening and closing time sequences, fluid pressure and driving load response, and the accuracy of the fault features is improved by accurately calculating the fluid pressure deviation amplitude and carefully evaluating the stress state of the sealing structure. According to the method, the accuracy of diagnosis and the judgment of the sealing performance are improved, the reliability of fault prediction is enhanced through vibration trend analysis and pressure change monitoring, a scientific basis is provided for preventive maintenance, and the precision of fault diagnosis and the adaptability of the system are remarkably improved through optimization of a data analysis process.

The invention relates to the technical field of fluid valve actuator equipment diagnosis, in particular to a fluid valve actuator monitoring and diagnosing system based on AI intelligence. According to the method, the target opening control instruction is generated through fluid medium characteristic data matching, and accurate regulation and control of the fluid valve are achieved; an opening degree change data set and a torque time sequence data set are captured in real time through a deployed sensor group, multi-dimensional dynamic fluctuation analysis is carried out, and intelligent recognition and screening of fluid valve abnormity are achieved; the medium temperature, the pipeline pressure and the medium flow velocity in the dynamic working condition parameters are substituted into a multiple regression linear model to generate reference torque and opening, and dynamic diagnosis of clamping stagnation abnormity is achieved by combining fusion calculation of a torque fluctuation coefficient and an opening deviation coefficient; through the correlation between the opening degree and the torque time sequence data and the traceability analysis of the current dynamic working condition parameters, the accurate positioning of the abnormal source is realized, and a systematic solution is provided for the state diagnosis and reliability evaluation of the fluid valve actuator.

The invention discloses a valve vibration impact test method and system based on digital twinning, and belongs to the technical field of industrial equipment test and evaluation. The method comprises the following steps: firstly, deploying a multi-source sensor network, constructing a physical entity layer of a valve vibration impact test, collecting and preprocessing various physical monitoring data, and constructing a digital twinborn body layer; secondly, real-time data assimilation with a physical test bed is realized through parameter calibration and updating of a digital twinborn model based on various physical monitoring data and the digital twinborn layer; and finally, executing a virtual vibration impact test, realizing prediction and evaluation of global response and key part information of the physical entity according to a test result, and finally realizing interaction and performance prediction. And the valve vibration impact test is realized through the valve vibration impact test system. According to the method, the fault diagnosis capability, the early damage identification capability and the valve state prediction and evaluation capability can be remarkably improved, and the defect of insufficient field monitoring information is overcome.

The invention discloses a valve fault data detection method and system, and relates to the technical field of industrial automation control and fault diagnose.The method comprises the steps that historical data of operation of a valve are obtained, the collected historical data are analyzed through a deep learning method, and time sequence features are extracted; a fault scoring model is established according to the extracted time sequence features, the fault of the valve is warned in advance, and meanwhile the state of the valve is monitored in real time through the latest real-time data flow; and the prediction result of the fault scoring model is verified through the real-time data flow, and the valve abnormity scoring standard is dynamically adjusted according to the real-time data and the output of the fault scoring model. According to the method, the fault prediction model is constructed by collecting the time sequence data of the valve rod displacement and combining the deep learning technology, the valve operation state can be monitored in real time, abnormal features can be accurately recognized, and delay and errors of manual detection are avoided.

The invention discloses a method and system for predicting the service life of a fire valve, and relates to the field of prediction maintenance, and the method comprises the steps: obtaining a multi-dimensional monitoring data matrix which comprises the sealing performance data, operation torque data and corrosion degree data of the fire valve continuously monitored in a preset time period; determining a parameter incidence matrix according to the multi-dimensional monitoring data matrix; determining a plurality of principal component vectors and corresponding characteristic values according to the parameter incidence matrix through a principal component analysis algorithm, and determining a current health state score of the fire valve according to the characteristic values corresponding to the plurality of principal component vectors; determining a degradation law function of the fire-fighting valve according to the historical operation record of the fire-fighting valve; and predicting the service life of the fire valve according to the current health state score and the degradation law function. According to the scheme, the accuracy of life prediction of the fire valve is improved, and the problem that the accuracy of life prediction of the fire valve is low is solved.

The invention relates to a homogenizing valve wear degree monitoring and service life prediction method and a high-pressure homogenizer, based on a pneumatic homogenizing structure, the pneumatic homogenizing structure comprises a homogenizing cavity, a homogenizing valve arranged in the homogenizing cavity, and a cylinder for applying pressure to a valve core of the homogenizing valve through a push rod. The homogenizing pressure and the homogenizing air pressure are monitored and calculated in real time, and the wear degree of the homogenizing valve can be dynamically tracked and evaluated without shutdown and disassembly inspection, so that the labor cost is reduced, the efficiency is improved, and the wear degree of the homogenizing valve can be accurately controlled; and the residual life of the homogenizing valve is predicted in real time through analysis and calculation of the wear degree and the homogenizing efficiency of the homogenizing valve, so that personnel can replace the homogenizing valve in time according to an actual production process, sudden failures are avoided, the product quality is improved, and cost waste is avoided.

The invention relates to a valve fault diagnosis method and system based on a machine learning model and a mechanism model. The method comprises the steps that working condition classification marking is conducted on operation data of a valve through an ARX model; when the operation data under the same working condition is single-loop operation data, flow prediction is carried out in a machine learning model, deviation calculation is carried out on a generated flow prediction value and an actual flow value, and a flow deviation value under the current working condition is obtained; when the operation data under the same working condition is multi-loop operation data, analyzing the flow characteristics of the operation data by using the mechanism model, and performing deviation calculation on the obtained flow characteristic value and the flow characteristic reference value to obtain a flow characteristic deviation value under the current working condition; all the flow deviation values or the flow characteristic deviation values are traversed to be compared with a deviation value threshold value, and the fault type of the valve is determined according to a comparison result. According to the method, the accuracy, the real-time performance and the universality of valve fault detection in the process industry are improved.

The invention relates to the technical field of response time testing of electro-hydraulic proportional valves, and discloses a response time testing method and system of an electro-hydraulic proportional valve, and the method comprises the steps: collecting multi-point pressure, step response, pipeline length and medium parameters, and unifying the time reference to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference so as to recover a sharp peak value; lagging offset is calculated according to pipeline and medium parameters, time delay compensation is carried out, and an alignment sequence is obtained; intercepting a non-stationary segment to eliminate residual delay deviation; constructing a response dynamic data set, extracting harmonic frequency domain representation, and reconstructing a pressure sequence through inverse transformation and superposition of compensation factors; and calculating a deviation integral quantity, adjusting a dynamic compensation parameter, performing weighted correction, and outputting an optimized reconstruction response sequence. According to the method, accurate reconstruction of the real pressure response of the proportional valve can be realized, so that the accuracy and the reliability of response time testing are improved.

The invention relates to a pressure detection method, system and device for a breather valve of a storage tank. The method comprises the steps that key parameters used for representing the current state in the storage tank are obtained, and the key parameters are stored in a preset data record table to obtain new historical key data records; at least part of the historical key data records are input into a preset breather valve performance evaluation relation, and the abnormal degree used for representing the breather valve performance is obtained through calculation; and judging whether the abnormal degree exceeds a preset normal range, and if yes, outputting an early warning signal. By the adoption of the method, the historical key data records stored in the preset data record sheet are substituted into the preset breather valve performance evaluation relation to calculate the parameter result, and the parameter describes the current working state of the breather valve in a numerical value mode; and the abnormal degree of the breather valve is monitored by setting a warning threshold value about the abnormal degree, so that the function of monitoring whether the breather valve works normally or not in real time is realized.

The invention relates to the technical field of sealing performance testing, in particular to a breather valve performance online testing method for oil and gas storage and transportation, which comprises the following steps: acquiring a vibration signal of a breather valve body, a multi-band acoustic signal of a valve port and a total pressure signal in a storage tank; performing multi-scale complex wavelet decomposition, and constructing a time frequency-energy correlation feature tensor; the total pressure signal and the time frequency-energy correlation characteristic tensor serve as a combined observation value and are input into a preset continuous Gaussian mixture hidden Markov model containing four hidden states of sealing, transient micro-leakage, continuous leakage and full-amount opening, and the posterior probability is calculated; and calculating to obtain a real-time leakage rate. According to the method, the opening pressure can be accurately determined, the real-time leakage rate can be quantitatively calculated after the leakage state is recognized, comprehensive and accurate quantitative online evaluation of core performance parameters of the breather valve is achieved, and the multi-source information fusion degree and the anti-interference capacity are improved.

The invention provides an air tightness detection device of a pressure balance type plug valve, and relates to the technical field of valve air tightness detection. An air tightness detection device of a pressure balance type plug valve comprises a water pool, an adjusting mechanism, two clamping mechanisms and an end sealing mechanism, the end sealing mechanism comprises two groups of positioning assemblies and two groups of sealing assemblies, and the positioning assemblies and the sealing assemblies are communicated and used for enabling the sealing assemblies to generate axial displacement. The sealing assembly is coaxially arranged in multiple layers, the structures of all the layers of the sealing assembly are the same, the sealing assembly is used for being inserted into an inlet and an outlet of a plug valve to be detected, and by means of the multi-layer design of the sealing assembly and the design that the positioning assembly enables each layer of the sealing assembly to generate independent axial displacement, the plug valve to be detected can be detected. The sealing assembly is adapted to plug valves to be detected with different calibers; the sealing assembly has the action of expansion under the action of air source pressure, so that the part inserted into the plug valve to be detected is in sealed connection with the plug valve, and the sealing performance is ensured.

The invention relates to the technical field of hydrogen storage system testing, and discloses a one-way valve combined hydrogen storage system durability test bench and a test method. A main control computer of the rack is used for configuring test task parameters, coordinating operation of subsystems and processing test data; the high-pressure hydrogen supply subsystem comprises a pressure-adjustable hydrogen source and a pressure closed-loop control module, and can apply accurate and controllable hydrogen pressure to the inlet end of the tested system according to test task parameters; the multi-channel valve state acquisition subsystem acquires the inlet and outlet pressure of the valve, the surface temperature of the valve body and vibration spectrum data in real time through pressure, temperature and vibration sensor arrays arranged at the valves, and transmits the data to the main control computer; the valve action driving subsystem comprises a high-speed electromagnetic actuator array and a displacement feedback module and can drive all valves to execute a preset opening degree sequence and opening and closing frequency. And the durability evaluation subsystem is embedded into the main control computer, calculates the accumulated damage degree of the valve and predicts the residual life cycle.

The invention relates to the technical field of valve pressure testing, in particular to a valve pressure testing device and a using method thereof.The valve pressure testing device comprises a detection water tank, a supporting frame is arranged on the detection water tank, a rotating support structure is rotationally arranged on the supporting frame, and an intermittent driving mechanism capable of driving the rotating support structure to intermittently rotate at all stations is arranged on the supporting frame; a plurality of clamping structures used for positioning and clamping the ball valve main body are arranged on the rotating support structure in the circumferential direction of the rotating support structure, and inflation and deflation pipeline structures used for inflating and deflating the ball valve main body are arranged between the clamping structures; the detection water tank, the rotary support structure, the intermittent driving mechanism, the clamping structure, the inflation and deflation pipeline structure, the feeding slide way structure, the discharging slide way structure and the like cooperate and cooperate with one another to complete exhaust and inflation at the same time, gas recycling can be achieved, exhaust operation and time are saved, and full-process automatic testing can be achieved.

The invention provides an intelligent fault diagnosis method and system for electromagnetic valve test data and a computer program product, and relates to the technical field of electromagnetic valve fault diagnos.The intelligent fault diagnosis method comprises the steps that firstly, multi-dimensional test data of an electromagnetic valve under multiple working condition combinations are collected, and multiple types of data including action response and the like are contained; a data behavior collaboration model is constructed based on the behavior collaboration relation between the data, and laws such as synchronous response are embodied; an abnormal collaboration chain deviating from a normal collaboration mode is mined from the model, and abnormal performance of each link is determined; reversely deducing a fault core cause through the abnormal collaborative chain, and determining information such as cause types; and finally, generating an executable instruction sequence based on the fault core inducement and the abnormal collaborative chain conduction characteristic, and controlling the maintenance system to execute fault handling operation. Therefore, faults can be comprehensively and accurately diagnosed, and the operation reliability and the system stability of the electromagnetic valve are improved.

The invention discloses a valve detection device, and relates to the technical field of valve detection. Comprising a detection host, a pool, a base plate, an electric rotating rod and a detection assembly, an adjusting motor is used for driving a fly shaft protection end to rotate, then the fly shaft protection end is used for driving a valve shaft to rotate, the detection device can automatically adjust opening and closing of a valve plate according to different detection requirements, manual opening and closing are avoided, and the detection accuracy and efficiency are improved. The impact force generated when the valve shaft flies out is transmitted to the force unloading spring through the shaft flying prevention assembly, the force unloading spring converts the impact force by compressing the force unloading spring, the purpose of absorbing the impact force is achieved, and the situation that the valve shaft directly flies out, and consequently people are injured is prevented. When the force unloading plate slides to the position of the alarm, the alarm is triggered through the first contact block, the second piezoelectric ceramic in the alarm is pressed and generates an electric signal, and after the electric signal is transmitted to the control system, the control system gives an alarm to a worker, so that the purpose of preventing shaft flying is achieved.

The invention relates to the technical field of safety valve fault monitoring, in particular to a safety valve full-life-cycle fault detection method and system, and aims to solve the problems that sudden safety accidents occur frequently due to the fact that a traditional method depends on leakage flow monitoring and cannot capture hidden faults such as valve element jamming and spring fatigue, a power supply system mostly adopts a single power generation mode, and the power consumption is low. In a low discharge scene, the electric quantity of the energy storage module is used up, and monitoring interruption is caused. According to the invention, the problems of safety valve hidden fault monitoring deficiency and unstable power supply are effectively solved. By means of multi-dimensional data collection, spring elasticity attenuation and valve element movement abnormity can be found in advance, and faults are prevented from being evolved into serious leakage. The composite power supply system maintains basic monitoring in the non-discharge stage, energy is quickly supplemented in the discharge stage, and continuous operation of the whole life cycle is guaranteed. A model analysis result can guide maintenance personnel to accurately position a fault part, and unnecessary shutdown maintenance is reduced.

The invention relates to the technical field of ultrasonic detection, and provides an aero-engine fuel control valve leakage amount ultrasonic detection method, which forms a coherent technical link through leakage ultrasonic signal acquisition, leakage signal separation, leakage feature extraction, leakage area positioning, offset compensation and cross validation of a sensor, and the links are mutually verified and optimized. A leakage signal is separated through a dynamic threshold value, the identification degree of a deep belief network is enhanced through multi-dimensional features, environment interference is compensated and corrected through working condition parameters, positioning deviation caused by single-link error accumulation in a traditional method is effectively restrained, accurate capturing and positioning of a micro leakage signal are achieved, and the method is suitable for large-scale popularization and application. The leakage thermodynamic diagram integrates leakage rate grading, coarse positioning area and micro leakage point information, the analysis and decision-making time of maintenance personnel is greatly shortened through a visual presentation mode, and rapid interpretation of fault positions and severity is achieved.

The invention is suitable for the technical field of waterproof performance testing, and particularly relates to an energy storage exhaust valve waterproof testing method and full-automatic water spraying testing equipment, and the method comprises the steps: obtaining the pressure information in a target time period; obtaining the number of change events; determining the number of pressure cycles; the failure ratio of the leakage event number to the pressure cycle number is calculated; according to the pressure information and the failure rate, whether the waterproof performance of the tested energy storage exhaust valve reaches the standard or not is judged. According to the waterproof test method for the energy storage exhaust valve provided by the invention, the problem that the test result is inaccurate due to the fact that the waterproof performance of the energy storage exhaust valve is tested only under the fixed pressure and the dynamic pressure change of the energy storage exhaust valve in the actual work cannot be truly reflected in the traditional waterproof test process of the energy storage exhaust valve is always static can be solved.

The invention relates to the technical field of data processing, in particular to an anomaly detection method and system for a refrigeration valve, and the method comprises the steps: obtaining the preprocessed operation data of the refrigeration valve, and for any data point in the operation data, calculating the sparse degree of the data point according to the distribution state of the data point in a local region; meanwhile, constructing a time sequence adjacent reference set of the data points, and obtaining an initial abnormal score of each data point in the adjacent reference set by using an LOF algorithm; constructing a trend anomaly degree according to the initial anomaly score of the data point in the time sequence adjacent reference set and the change of the data value; a preset initial abnormal threshold value is adjusted based on the trend abnormal degree and the sparse degree to obtain a dynamic threshold value, the dynamic threshold value is in negative correlation with the trend abnormal degree, and the operation data of the refrigeration valve are judged based on the dynamic threshold value. The method has the effect of improving the abnormality detection accuracy of the refrigeration valve.

The invention discloses a quick jacking anti-static breather valve on-line detection tool, and relates to the technical field of valve body monitoring, the quick jacking anti-static breather valve on-line detection tool comprises a jacking unit, the jacking unit comprises a jacking frame, an upper plate arranged on the jacking frame, a jacking plate arranged on the jacking frame, and a jacking assembly arranged on the jacking frame and used for controlling the jacking plate; the switching unit comprises a switching assembly arranged between the upper plate and the jacking plate in a sliding mode, a bright plate arranged on the switching assembly and a dark plate arranged on the switching assembly; the valve body connecting unit comprises a valve body connecting pipe arranged on the upper plate; and the storage tank connecting unit comprises a storage tank connecting pipe arranged on the jacking plate. According to the quick jacking anti-static breather valve on-line detection tool, the breather valve detection tool which does not allow a bottom valve to appear between a breather valve and a storage tank and supports integrated on-line detection is designed according to regular inspection and evaluation requirements on the breather valve in the industry.

The invention discloses an intelligent monitoring method and system for an intelligent breather valve, and relates to the technical field of intelligent valve monitoring. Fitting a circulation volume curve based on the uploaded tank body pressure and circulation volume in combination with data of valves with different calibers; the opening state of the valve is judged according to the logic relation between the state of the proximity switch and the pressure of the tank body; and calculating the discharge amount or the suction amount based on the opening state of the valve and the circulation volume curve. According to the method, on the basis of the relation between the tank pressure and the circulation volume, the circulation volume curve is fitted through the quartic equation, errors of a traditional linear model are avoided, and the applicability to valves with different calibers is guaranteed. The opening state of the valve is judged according to the proximity switch state and pressure relation, and the defect that a traditional system is inaccurate or delayed in judgment of the valve state is overcome. By calculating the emission amount and the suction amount and combining VOCS concentration monitoring, emission of harmful gas is effectively reduced, and the environmental protection requirement is met.

The invention provides a valve detection system and a detection method thereof. The valve detection system comprises a valve data module, an associated valve module, a first prediction module, an associated verification module and a second prediction module, the valve data module comprises associated features and fault types of valves in the system; the associated valve module can obtain an associated valve having fault propagation relevance with the to-be-detected valve according to the associated characteristics of the valve; the first prediction module can judge whether the valve has a fault risk or not according to the deviation between actual detection data and theoretical data of the valve; when the judgment result is yes, the association verification module can verify the judgment result of the first prediction module through the obtained detection data of the associated valve; and when the verification result is that the first prediction module is misjudged, the fault risk of the valve is judged again through the second prediction module. The detection accuracy is improved, and false alarms are reduced.

The invention relates to a flow valve position calibration method and system based on a Hall matrix, and belongs to the field of flow valve control. The position calibration method comprises the steps that voltage signals output by a Hall sensor array in the movement process of a valve rod of the flow valve are collected in real time, an original voltage signal data set is generated, differential signal noise reduction processing is carried out, and a feature signal set is obtained; identifying slope abrupt change points based on the characteristic signal set, performing segmentation to obtain positive and negative slope curve segments, and performing translation splicing and filtering processing to generate a displacement characteristic curve; according to the preset mechanical stroke of the valve rod of the flow valve, polynomial fitting is conducted on the displacement characteristic curve, and a discretized calibration parameter table is generated; a valve rod of the flow valve is driven to execute full-stroke motion, and an actual voltage signal sequence is collected in real time; and comparing the actual voltage signal sequence with the theoretical voltage signal in the calibration parameter table point by point, and outputting a calibration completion state and error distribution data. The accuracy and reliability of position calibration of the valve rod of the flow valve can be improved.

The invention relates to a ball valve wear resistance detection device, and relates to the technical field of ball valve detection, the detection device comprises a frame body, a conveying belt, a sliding structure, a detection structure, a removing structure and a positioning structure, the positioning structure comprises a positioning seat, and the positioning seat and the sliding structure are located on the two sides of the conveying belt; the positioning piece is arranged on the positioning seat in a sliding manner and is provided with a positioning surface; the clamping assembly is arranged on the positioning seat; the positioning piece gets close to the conveying belt, the positioning face abuts against the through hole for positioning, the ball valve is aligned with the sliding structure, and meanwhile the positioning piece moves to drive the clamping assembly to get close to and clamp the outer side wall of the ball valve for positioning. The position of the ball valve can be positioned through the positioning part and the clamping assembly, so that the position of the ball valve can be aligned with the sliding structure, the risk of inclination when the positioning surface pushes the ball valve is reduced, and meanwhile, when the sliding structure is started to be in contact with the coating, the accuracy of wear resistance detection of the ball valve is improved.

The invention relates to the technical field of valve testing, and discloses a changing and washing valve testing device which comprises a testing table, a partition plate is fixedly connected to the bottom of the testing table, a conveying pump is fixedly connected to the right side of the partition plate, a sliding rail is fixedly connected to the top of the testing table, and two fixing clamps are slidably connected to the surface of the sliding rail. The two fixing clamps are both used for fixing a replacement and washing valve, sliding blocks are arranged on the opposite sides of the two fixing clamps, a conveying pipe is fixedly arranged at the output end of the conveying pump, a liquid storage tank is fixedly connected to the left side of the partition plate, and a backflow pipe is fixedly connected to the left side of the liquid storage tank. The two pressure regulating valves can be independently regulated, various actual working conditions and generated different pressure conditions can be simulated, the test requirements of various types of changing and washing valves can be met, the performance of the changing and washing valves under different conditions can be accurately evaluated, and the test environment is closer to the actual working scene, so that potential problems and defects can be found in time, the system fault risk is reduced, and the test efficiency is improved. And the product quality and reliability are improved.

The invention discloses an electromagnetic valve vibration fatigue test device and a failure judgment method, and relates to the technical field of electromagnetic valve tests.The electromagnetic valve vibration fatigue test device comprises a test box, a conveying mechanism, a balance weight mechanism, a vibration table, an opening and closing detection mechanism and a clamping detection mechanism; the front end and the rear end of the top in the test box are fixedly connected with counterweight mechanisms, the bottom in the test box is fixedly connected with a vibration table, the right end in the test box is fixedly connected with an opening and closing detection mechanism, and the top of the vibration table is fixedly connected with a clamping detection mechanism and a conveying mechanism; the inlet and outlet pressure of the detected electromagnetic valve is detected through a sensor, failure judgment of the electromagnetic valve is achieved, then the pressure is adjusted through the combination mode of low-speed precise conveying of a piston cylinder and high-speed large-flow conveying of an external fluid conveying box, periodic fluid pressure fluctuation is applied while vibration is conducted, and the real load of the electromagnetic valve is simulated. And the superimposed effect of mechanical vibration and fluid impact is synchronously tested.

The invention discloses a fault monitoring sealing ball valve, belongs to the technical field of ball valves, and solves the problems that a self-adaptive compensation mechanism of an intelligent valve positioner can cover the degradation process of mechanical wear of a pneumatic sealing ball valve quietly during long-term operation, and finally sudden control instability is caused due to the fact that nonlinear wear exceeds a compensation limit. Comprising a valve body, a pneumatic actuator arranged on the valve body, a valve rod which is in transmission connection with an output shaft of the pneumatic actuator and located in the valve body, a valve ball fixedly connected with the valve rod and a fault prediction circuit. The fault prediction circuit comprises a multi-dimensional physical sensing array module, a high-speed synchronous acquisition and preprocessing module, a core signal processing and fusion analysis module, an artificial intelligence coprocessor module and a predictive maintenance decision and life cycle management module. Multi-dimensional signals are collected in real time, valve health is evaluated after fusion analysis, and early warning and maintenance decisions are output.

The invention relates to the technical field of fault analysis. The gate valve fault quantitative simulation method comprises the steps that a fault degree threshold value is preset in a valve control system according to a fault simulation target; according to the fault simulation target, a fault piece matched with the gate valve is machined, and the fault piece is installed at the corresponding position of the gate valve; controlling the gate valve to simulate a fault working state through a valve control system, and collecting power data information corresponding to the gate valve; calculating an actual fault degree according to the collected power data information, fitting the actual fault degree with a preset fault degree threshold value to obtain a fault deviation, and displaying a fault simulation result on a human-computer interaction interface; and correcting the fault degree of the fault part according to the fault simulation result. The problem that a traditional fault simulation method is difficult to accurately reflect the actual working states of the gate valve under different fault degrees is solved.