53 results about "Failure prevention" patented technology

The invention provides an oil seal press-fitting abnormity real-time detection method based on pressure displacement curve analysis, and relates to the technical field of oil seal assembly control. Pressure displacement data acquisition is executed and a real-time pressure displacement curve is fitted when press-fitting equipment is started; based on displacement progress threshold triggering stage switching of the time sequence displacement data, an association stage characteristic curve is called from the oil seal press-fitting reference template; comparing the characteristic curve in the association stage with the real-time pressure displacement curve to solve a real-time curve deviation vector; and according to the real-time curve deviation vector mapping physical failure abnormal mode, self-adaptive adjustment of oil seal press-fitting process parameters is triggered. The technical problems that in the prior art, a continuous press-fitting process is adopted for oil seal assembly, rubber stress concentration is caused, hydraulic locking is formed due to lubricant retention, and the press-fitting depth is out of control are solved. Physical failure prevention in the oil seal assembly process is achieved, it is guaranteed that the press-fitting depth meets the technological specification tolerance in the whole process, oil seal assembly defects are restrained, and the sealing reliability of an engine is improved.

The invention discloses an air curtain laser failure prevention device for an aluminum-lithium alloy, and relates to the technical field of aluminum-lithium alloy ingots. The air curtain laser failure prevention device comprises a glass sheet located right in front of the laser range finder, a glass upper cover plate arranged on the side face, close to the laser range finder, of the glass sheet, a glass lower cover plate arranged on the side face, away from the laser range finder, of the glass sheet and a ventilation pipeline arranged on the side portion of the glass lower cover plate, and the ventilation pipeline is used for outputting inert gas. The side face, away from the laser range finder, of the glass sheet is purged, and an inert gas protection layer is formed. The inert gas is introduced into the ventilation pipeline at one side of the glass lower cover plate below the laser irradiation glass, and the lower part of the glass sheet is continuously purged, so that an inert gas protection air curtain is formed below the glass sheet, dust and the like can be effectively prevented from being attached to the upper glass sheet, the glass is kept clean, the laser failure is prevented, and the service life of the glass sheet is prolonged. And meanwhile, aluminum alloy oxidation of the launder can be reduced or even avoided through introduction of inert gas, and the ingot casting efficiency is improved.

The invention provides an automatic driving electronic system reliability prediction method and system based on deep learning, and the method comprises the steps: building an electromagnetic environment and component interaction model, and tracking an electromagnetic interference source through time-frequency analysis; predicting a failure mode evolution path of a system component by using a dynamic LSTM model, and introducing a time-varying disturbance model to perform dynamic electromagnetic interference regularization; combining a failure mode prediction result, and adopting a self-adaptive time window and a time sequence regression model to predict the combined influence of electromagnetic interference on system failure; adjusting system control signals and resource configuration through an adaptive fault-tolerant control algorithm and a dynamic resource allocation strategy based on failure mode prediction and electromagnetic interference prediction values; and dynamically triggering a failure prevention mechanism according to the health assessment function, and optimizing prevention measures through a feedback correction mechanism. According to the method, the defects of the prior art in the aspects of prediction precision, interference identification, fault-tolerant mechanism and the like are effectively overcome, and a new technical path is provided for improving the reliability of the automatic driving system.

The invention relates to the technical field of power failure prevention, in particular to a power failure prevention method, system and device for an anti-radiation emergency armored car and a medium. According to the power failure prevention method based on real-time monitoring and intelligent management provided by the invention, the accuracy and timeliness of power supply state monitoring are improved by simultaneously monitoring power supply parameters in two dimensions of voltage and current; a time point recording mechanism is introduced, and a power-off control strategy based on the duration for the flameout state of the engine is adopted, so that the problem of abnormal power supply can be found in time, and the continuity and reliability of a nuclear radiation detection task are effectively guaranteed.

Techniques for mitigating network failures (e.g., SLA violations, service degradations, network outages, etc.) based on output(s) from a predictive network system. The techniques may include determining that a failure is predicted to occur in a network and determining a correlation between the failure and a previous failure that occurred in the network. In examples, the correlation may be determined using a machine-learned model. The techniques may also include determining, based at least in part on the correlation, a condition contributing to the failure. In this way, prior to occurrence of the failure, a parameter associated with the network may be altered based at least in part on the condition to mitigate or otherwise prevent the failure.

The utility model discloses a kind of light touch switches of falling anti-failure, it is related to electronic component technical field.It includes support and base, support is rectangular groove body, support front end is equipped with positioning hole, support left side bottom interval is equipped with two first support feet, support right side bottom interval is equipped with two second support feet, first support foot and second support foot respectively extend outward and present 90 degrees bending, support rear end is equipped with limit baffle;Base is located in support, base front end movably connects with the pressing handle of silica gel material, pressing handle passes through positioning hole, base front end is also equipped with multiple fixed columns, multiple electrically-conductive terminals are installed in base, electrically-conductive terminal is equipped with terminal pin, terminal pin extends backward and presents 90 degrees bending, terminal pin is brass material, and its surface is covered with gold plating layer by electroplating process.The utility model reduces the probability that light touch switch appears functional failure or damage due to falling, avoids short circuit of positive and negative electrode conduction of soldering pin.

An intelligent dosing platform system for device lifecycle management and predictive maintenance comprising intelligent injection devices with sensors configured to detect operational parameters, device monitoring modules tracking sensor calibration state, battery life metrics, and device performance data. A predictive analytics module analyzes device operational data to forecast maintenance timing, sensor calibration requirements, and device replacement needs. The system includes maintenance scheduling modules that generate automated maintenance alerts based on predicted device performance degradation. A lifecycle documentation module maintains comprehensive device history records including deployment dates, calibration events, maintenance activities, and retirement tracking. The system optimizes device fleet performance through proactive maintenance scheduling, minimizes device downtime through predictive failure prevention, ensures patient safety through continuous device integrity monitoring, and maintains regulatory compliance through comprehensive lifecycle documentation and firmware management capabilities.

The present disclosure relates to a computer-implemented method for preventing an electrical submersible pump, ESP, failure, the method comprising obtaining real-time operation sensor data from one or more sensors (110), the real-time operation sensor data being indicative of the operation of the ESP, detecting, by an abnormality detection artificial intelligence, Al, engine (220), at least one abnormality in the real-time operation sensor data (120), the abnormality indicating an abnormal event of the operation of the ESP, generating, by a physics characteristics Al engine (230), at least one operating characteristic of the ESP based at least on the abnormality and on a physical model of the ESP (130), determining, by a root cause analysis Al engine (240), at least one root cause of the ESP failure based at least on the at least one abnormality and the at least one operating characteristic (140), and generating at least one failure prevention measure to reduce the risk that the ESP failure occurs (150). In addition, the present disclosure relates to a corresponding computer system and to a corresponding computer program.

Provided is a heat and vibration intelligent monitoring system for power distribution equipment. A plurality of sensors provide temperature and vibration data associated with a bus or busway of the power distribution equipment. A diagnostic processor processes the sensor data and load data representative of an electrical load of the power distribution equipment as inputs to a trained machine learning model to determine whether a prediction of a predefined temperature alert of the power distribution equipment will be exceeded at a subsequent time, and generates an electronic or visual notification based on the prediction.

The invention relates to the technical field of electronic system equipment fault prevention, in particular to an equipment fault prevention method and system, and the method comprises the steps: carrying out the filtering and dimension reduction preprocessing of a plurality of original time sequence signals, and obtaining a plurality of feature time sequence signals; dividing each characteristic time sequence signal into a front signal sequence and a rear signal sequence; obtaining an error value of each characteristic time sequence signal according to an error between a predicted value of the front signal sequence and the rear signal sequence, and obtaining an error value sequence; screening out a plurality of monitoring signals from all the characteristic time sequence signals according to the error value sequence; obtaining a reference point through a plurality of monitoring signal data, and predicting and obtaining a to-be-analyzed point; and according to the distribution of all the reference points and the to-be-analyzed points in the monitoring feature space, preventing the equipment fault of the steam turbine generator. According to the invention, the calculation amount is reduced, and the accuracy of equipment fault prevention is improved.

The present invention proposes a commutation failure suppression method applicable to a UHV DC hierarchical access system, where the high and low end converter valves of the access system are connected in series on the DC side. The suppression method uses the trigger angle advance amount output by the commutation failure prevention control system CFPREV of the faulty layer as the electrical detection quantity, and by setting a coordination coefficient K, coordinates and cooperates it with the control systems of non-faulty layers to reduce the probability of commutation failure occurring in non-faulty layers; and reduces the DC current of the high and low end converters by triggering the VDCOL instruction in advance. Compared with the traditional commutation failure suppression method for hierarchical access systems, the present invention has stronger fault resistance and recovery effects.

The utility model discloses an anti-outage connector, which comprises an insulating seat and a plurality of terminals arranged in the insulating seat, each terminal is provided with a first weld leg and a second weld leg, and the first weld leg and the second weld leg are exposed on the lower end face of the insulating seat and respectively form a first row of welding areas and a second row of welding areas; the lower end of the insulating seat is provided with a pad table and a riveting groove, the upper end face of the second welding leg abuts against the lower end face of the pad table, and the second welding leg is riveted and fixed in the riveting groove, so that the second welding leg is fixed at the lower end of the pad table, the phenomenon of terminal retreating in the process of inserting the connector with a paired connector can be effectively prevented, and the product quality is further improved. According to the utility model, the two rows of welding areas are welded and fixed with the PCB at the same time, so that the strength of a welding plate can be increased, the other welding leg can still achieve the conduction function required by the welding plate when missing welding occurs in any one of the first welding leg and the second welding leg in the terminal, the phenomenon of poor welding between the terminal and the PCB is completely avoided, and the reliability of the terminal is improved. And the high-performance power failure prevention effect is realized.

The utility model discloses a ball sliding rail buffering and limiting device with an anti-failure function, and belongs to the technical field of sliding rail structures. The ball sliding rail buffering and limiting device with the failure prevention function comprises a limiting assembly arranged at the tail end of an outer sliding rail, and a rivet and a push block which are arranged at the tail end of an inner sliding rail; the limiting assembly comprises a limiting check block. According to the ball sliding rail buffering and limiting device with the failure prevention function, through the arrangement of a reset block and a push block, when the position of a limiting check block moves due to shaking of an outer sliding rail, and the limiting check block is in a vertical state, the push block at the tail end of the inner sliding rail is attached to the outer surface of the reset block in the recovery process of the inner sliding rail, and the reset block is reset; the push block pushes the limiting stop block to move while sliding on the surface of the reset block, so that the limiting stop block is reset at a normal working position of 30 degrees, and the situation that the stop block automatically rotates to a vertical position due to vibration, and consequently rivets of the inner rail cannot be pushed into a groove of the stop block is avoided.

The present invention discloses a fault prevention method and device for the Internet of Things. The fault prevention method preprocesses the collected signals to obtain characteristic data of network devices in the Internet of Things such as industrial control networks; establishes a DNN network model and an LSTM network model, and uses historical data to train the LSTM model to obtain the optimal weight coefficient of the LSTM model, inputs the historical window duration, the prediction time interval, and the future prediction time interval, obtains the fault value of the network at the current moment and within the preset historical time interval, obtains the fault value of the network in the future prediction time interval through the LSTM model, accurately predicts whether the network will fail within a period of time in the future, and effectively avoids business interruption and economic loss in the network and even life safety caused by the failure. The present invention effectively improves the efficiency and accuracy of detection by adopting DNN and LSTM neural networks.

This invention discloses a method, device, terminal equipment, and storage medium for preventing tooth breakage based on laser peening, belonging to the field of gear surface strengthening technology. The method involves: acquiring the pulsed laser parameters and impact path of the gear to be treated during laser peening; providing an energy absorption layer at the root of the gear tooth, which is covered by a constraint layer; generating a laser scanning command based on the pulsed laser parameters and impact path, and sending the laser scanning command to a laser generator to control the laser beam to scan, so that the laser beam penetrates the constraint layer and irradiates the energy absorption layer; after being irradiated, the energy absorption layer absorbs laser energy to form plasma, and the plasma generates an inwardly propagating shock wave under the constraint of the constraint layer, inducing plastic deformation at the gear tooth root position and forming a residual stress layer on the surface of the gear tooth root. Therefore, by implementing this invention, the problem of insufficient depth of the residual compressive stress layer on the tooth root surface in the prior art can be solved.

The utility model discloses a cell sorter of preventing overheat failure relates to cell sorter technical field, including cell sorting platform, cell sorting platform outer wall one side fixedly connected with a plurality of upper electromagnetic valve, and cell sorting platform top surface one side fixedly connected with a plurality of lower electromagnetic valve simultaneously, cell sorting platform top outer wall fixedly connected with a plurality of liquid bag hooks, and cell sorting platform top surface one side fixedly connected with display screen, cell sorting platform top surface one side fixedly connected with peristaltic pump, the utility model discloses when cell sorting platform continuous screening discernment cell, if temperature rises to need heat dissipation, operating personnel pass through the both sides sliding module of pushing, and the stable movement of adjusting component along with guide slide rail, with the gradual alignment of through groove and rectangular window, after the impurity of outside air through filter screen, through the through groove and enter the inside of instrument, quickly take away the heat of accumulation, reduce the signal fluctuation of sensor and appear the situation of overheat.

The invention discloses a storage tank group manhole water seal anti-failure method. The method comprises the steps that a manhole water seal structure is arranged; when a plurality of storage tanks are fed at the same time, waste air in the tanks is pressed to enter the steel keel flexible air pipe to expand the steel keel flexible air pipe, and the exhaust electric valve is opened when the pressure in the pipe is higher than a set value, so that the waste air enters the waste gas purification liquid storage tank to be purified and absorbed; when a plurality of storage tanks discharge materials at the same time, under the action of negative pressure in the tanks, waste air temporarily stored in the steel keel flexible air pipe is sucked into the tanks to generate pipe contraction, and when the pressure in the pipes is lower than a set value, the air inlet electric valve is opened to enable indoor air to enter the steel keel flexible air pipe to balance the pressure so as to prevent a water seal structure from being damaged; when the storage tanks discharge and feed simultaneously, waste air discharged from the feed storage tank enters the discharge storage tank through the steel keel flexible air pipe, so that pressure balance in the storage tank is guaranteed, and a water seal mechanism is prevented from being damaged. The device can effectively prevent the water seal from losing efficacy, and has the advantages of low investment cost and operation cost.

The present invention relates to the technical field of numerical control machine tools, and specifically to a power-off anti-drop device for a torque motor of a five-axis five-linkage numerical control machine tool, comprising a machine base, a rotating shaft head is arranged above the machine base, a torque motor is fixedly installed in the middle of the rotating shaft head, a swing shaft head is movably connected to the bottom of the rotating shaft head, and a rotating tube is fixedly installed on both sides of the top of the swing shaft head. Compared with the prior art, the present invention sets an electromagnet, and when the device is powered off, no current passes through the electromagnet. At this time, the adsorption sheet loses the attraction of the electromagnet, and the elasticity of the spring drives the two adsorption sheets to move relative to each other instantly, and drives the locking block to be inserted into the rectangular groove provided on the surface of the locking plate through the extension shaft, thereby realizing the locking of the rotating tube, thereby positioning the swing shaft head, avoiding the swing shaft head from contacting with the workpiece when the power is off, avoiding damage to the workpiece, and reducing the loss caused by the power off.

A wedge-caulking type friction anchoring mechanism applied to pipeline construction comprises an upper connector and a lower connector which are mutually inserted and wedged. The first wedge and the second wedge are arranged in the accommodating cavity and formed on the bottom wall; a wedge cavity with the upper portion narrower than the lower portion is formed between the first wedge and the second wedge. The upper connector is provided with a friction anchoring part inserted into the wedge cavity opening groove. The width of the wedge cavity opening groove is smaller than that of the friction anchoring part, a plurality of continuous non-return protruding hooks are arranged on the two sides of the friction anchoring part, and the friction anchoring part is clamped by the first wedge and the second wedge after being placed in the wedge cavity opening groove to increase friction force between the friction anchoring part and the two side walls of the wedge cavity opening groove so as to be anchored to prevent loosening. Interlocking wedge-caulking type friction anchoring, linkage self-locking inner sealing and multi-stage self-locking inner sealing are creatively integrated with mechanical multi-stage acting force and counter-acting force mechanisms, and three-dimensional multi-stage mechanical interlocking and multi-stage self-locking inner sealing are achieved at the same time. The invention has the advantages of tensile failure prevention, looseness prevention, leakage prevention, safety, reliability and firm structure.

The invention relates to a power failure prevention device of a multi-energy hybrid power electric propulsion ship. The power failure prevention device comprises a main electric propulsion assembly, a slave electric propulsion assembly and a switching assembly. The device comprises a main power supply state and an emergency power supply state, when the device is in the main power supply state, a first wire and a second wire are powered on, a moving mechanism is attracted to an electromagnet, and the middle of a third wire is disconnected; when the device is in an emergency power supply state, the main power supply is powered off, the wiring terminal is matched and connected with the joints of the third wire and the fourth wire, and the third wire is connected with the fourth wire. Compared with the prior art, the system has the advantages that the master electric propulsion assembly and the slave electric propulsion assembly cooperate with each other, double electric propulsion guarantee is constructed, redundant supply of ship propulsion electric power is achieved, the operation risk after single power supply outage can be avoided, rapid and automatic switching can be achieved, the recovery time of propulsion power in the fault state is greatly shortened, and the ship propulsion efficiency is improved. And continuous output of ship propulsion power is guaranteed.

The invention provides a hard disk fault monitoring method and system, a control device and a storage medium, and relates to the technical field of hard disks. The monitoring method comprises the following steps: extracting SMART data of a hard disk, carrying out standardization processing on the SMART data, and persisting the SMART data in a memory; obtaining a query instruction of a user for the SMART data of the target hard disk; in response to the query instruction, retrieving corresponding SMART query data from the memory; and sending SMART query data, generating corresponding data showing a hard disk fault index by the client, displaying the data to a user, and querying and monitoring the fault of the target hard disk. According to the invention, the integrity and security of all related data of the hard disk are ensured; and the user can quickly monitor the change trend of the hard disk fault index of the selected hard disk along with time, and the user is assisted in monitoring potential problems of the hard disk. Therefore, the fault prevention capability of the hard disk is improved, and support is provided for maintenance of the hard disk.

A method for performing a failure prediction operation for an industrial process is disclosed. The method may include collecting a set of physical sensor data and generating a set of virtual sensor data by applying a physics-based model to a. subset of the set of physical sensor data. The method may also include identifying a first set of features from the set of physical sensor data, and the set of virtual sensor data. The method may further include identifying, using a first set of machine-trained models applied to the first set of features, a set of anomaly detection scores, a first set of contributing factors to the set of anomaly detection scores, and a second set of features that have a feature importance score that is above a threshold. The method may also include generating at least one failure prediction model based on the first set of machine-trained models and applying the at least one failure prediction model to the set of physical sensor data and the set of virtual sensor data to calculate a likelihood score related, to a predicted failure of an asset.

The utility model discloses a single-case large-ring raceway supporting structure, and relates to the technical field of single-case large-ring raceway supporting. The positioning device comprises a reference plate, and further comprises a positioning part which is installed on the front face of the reference plate and used for positioning a supporting structure, and a positioning part which is installed on the front face of the reference plate and used for positioning the supporting structure. The supporting part is mounted on the positioning part, and the supporting part is used for supporting the ferrule; the datum plate is used for being installed on a machine tool. According to the utility model, the roundness and the waviness are improved by arranging the supporting arcs, particularly external pre-adjusting four-point arc traceless supporting, so that the influence of three, five and seven outer-diameter edges on the grinding of the raceway can be filtered to a certain extent, and the consistency of geometric accuracy of a product and the quantification of eccentricity play a role in supporting failure prevention; the support abrasion is reduced, the service life is prolonged by more than ten times, the product has no support marks, the subsequent procedures are reduced, the influence of ferrule scrapping, wall thickness difference, perpendicularity difference and the like is reduced due to no subsequent outer diameter grinding, and the product precision is higher.

The invention discloses an intelligent fault early warning method and system for hydropower station equipment. Real-time monitoring and analysis of key equipment (such as a generator, a transformer and a circuit breaker) of a hydropower station are achieved. The system integrates monitoring of key parameters such as current, voltage, power and temperature, historical data and a preset threshold value are combined, an advanced machine learning algorithm is applied, and intelligent analysis and fault prediction are carried out on the operation state of equipment. Once the system detects an abnormality or a potential fault, an alarm is given to an operator on duty in time and a processing suggestion is provided through a visual warning mode (such as a light indicator) and an automatic message notification mechanism, so that quick response and fault prevention are realized, and the operation safety and efficiency of the hydropower station are improved.

The embodiment of the invention provides a loudness model anti-failure method and device, electronic equipment and a storage medium. The method comprises the following steps: determining different reference volume attribute information when a target video is played in different playing stages, each playing stage being different playing amount intervals divided according to different playing amounts reached in sequence when the target video is played, each piece of reference volume attribute information is used for describing volume loudness adjustment operation performed on the target video under the condition that the target video starts to be played at different reference volume loudnesses in each playing stage; and adjusting a volume loudness balance parameter of the target loudness model according to different reference volume attribute information so as to suppress performance degradation of the target loudness model in volume loudness balance. According to the scheme, the change of the video under the volume loudness balancing strategy is analyzed through the volume attributes updated by different data magnitudes, the effect of the volume loudness balancing strategy is monitored, and whether the volume loudness balancing strategy fails or not is judged in time.

The invention relates to the field of fan operation and maintenance management, and discloses a fan fault prevention and knowledge base integrated management system, which comprises a data acquisition module, a data preprocessing module, a fault early warning module, a knowledge base module, a decision support module and a man-machine interaction module, the output end of the data acquisition module is electrically connected with the input end of a data preprocessing module; the output end of the data preprocessing module is electrically connected with the input end of a fault early warning module; the output end of the fault early warning module is electrically connected with the input end of a knowledge base module and the input end of a man-machine interaction module. The knowledge base module is bidirectionally and electrically connected with a fault early warning module; and the output end of the decision support module is electrically connected with the input end of a man-machine interaction module. According to the invention, high-quality data is obtained through multi-dimensional pre-processing, intelligent early warning decision making of the linkage module is realized, the period is accurately shortened, and the problems of poor data and early warning lag in the prior art are solved.

The present invention discloses an automatic conversion analysis method and system based on an implicit common cause fault model, which relates to the technical field of power system fault analysis, including: acquiring and marking power equipment to form a plurality of equipment sets, setting a monitoring period for operation monitoring, and storing data in an operation record library; extracting equipment feature data, calculating the correlation index between equipment according to equipment categories, and using different strategies to calculate the correlation between equipment of the same category and different categories; using an implicit common cause fault model to calculate the probability of simultaneous abnormality of a reference equipment and other equipment under various abnormal causes, including independent failure probability, common cause failure probability and comprehensive probability; adjusting the monitoring period for equipment exceeding the threshold according to a comparison between the comprehensive probability and a preset threshold, and also adjusting the monitoring period for all associated equipment according to the abnormal cause, so as to realize effective monitoring and fault prevention of the power system.

The invention belongs to the technical field of underground energy well cementation engineering testing, and particularly relates to a well cementation first-second interface sealing performance testing device and a sealing performance testing method.The well cementation first-second interface sealing performance testing device comprises an assembly sample, a true triaxial stress loading system, a sample temperature control system, a circulating injection and production simulation system, a sealing performance monitoring system and an ultrasonic monitoring system. The invention further provides a well cementation first and second interface sealing performance testing method for simulating the underground shaft environment by using the device provided by the invention. According to the device, the defects that an existing device is not real in simulated working condition, single in monitoring means and insufficient in positioning precision are overcome, the test result is more suitable for the field reality, and reliable technical support can be provided for well cementation interface sealing failure prevention and control, cement paste formula optimization and well cementation process improvement.

The present application provides a kind of blast furnace trough system electrical equipment failure prevention and control method, belong to blast furnace smelting electrical automation control technical field.In the process of belt conveyor, when pull rope switch appears action signal, then according to pull rope switch action signal positioning, and confirm whether artificial pull rope appears;If artificial pull rope appears, then belt brake;If artificial pull rope does not appear, then the pull rope switch that sends pull rope switch action signal is short-circuit processing;In the process of belt conveyor, when deviation switch appears abnormal signal, then according to abnormal signal positioning, and confirm whether belt deviation appears;If belt deviation appears, then belt brake;If belt deviation does not appear, then the deviation switch that sends abnormal signal is short-circuit processing;After production is completed or overhauls, the deviation switch and pull rope switch that are short-circuit processing are overhauled.Through pull rope switch and deviation switch grouping and independent access host computer, realize fault accurate positioning and shorten maintenance time.