61 results about "Operating life" patented technology

The invention discloses a turbine service life prediction method, system and device and a storage medium, and relates to the technical field of engines, and the method comprises the steps: fitting a stress spectrum according to the actual working rotating speed spectrum of a turbine and the relation between the rotating speed and the stress; calculating the total fatigue damage at the blade root of the turbine blade after the target working duration based on the stress spectrum; calculating the total creep damage at the blade root of the turbine blade after the target working duration based on the stress spectrum, the rotating speed spectrum of actual operation and the temperature spectrum; and predicting the comprehensive life of the turbine according to the total fatigue damage and the total creep damage. According to the method, the fatigue creep comprehensive life prediction method under the given actual road spectrum is constructed, the working life of the supercharger turbine can be predicted more accurately by comprehensively considering various influence factors of the turbine under the actual working condition, and therefore the performance and safety of the turbine are improved, and stable operation of the turbine is guaranteed.

The invention relates to a mechanical equipment operation life timing method based on multi-feature fusion. The method comprises the steps of 1, data collection and classification; 2, frequency band screening; step 3, feature extraction; step 4, data fusion; 5, setting a threshold value; and step 6, starting and stopping recognition. According to the invention, the service life timer sensor is used for collecting the operation state of the electromechanical equipment in a timing manner, and starting and stopping time information is wirelessly transmitted to the upper computer on the panel for display in a Bluetooth manner. In the aspect of judging a start-stop algorithm, start-stop data of each working condition is collected in an earlier stage, data fusion of time-frequency domain parameters is combined to form a more representative index after dimension reduction, and a threshold configuration mode is newly added to personalize start-stop thresholds of each electromechanical device, so that spatial dependence is reduced, and the algorithm judgment precision is improved.

The present invention relates to the technical field of geometric parameter design optimization. The present invention discloses a parameter design method for a metal cavity cooling channel based on multi-physical field coupling, comprising obtaining basic channel data according to cavity-related data and a detuning factor to provide a basis for the design of the cooling channel, constructing W initial channel data based on the basic channel data by presetting a channel design strategy, and simulating temperature tuning data to ensure that the cooling channel can effectively adjust the temperature to prevent thermal deformation and frequency detuning, and calculating the temperature tuning coefficient and the design influence value by using parameters such as the Prandtl number, the Reynolds number and the Nusselt number to provide a scientific basis for the optimized design, and optimizing the initial channel data by using an intelligent optimization algorithm to obtain the optimal channel data, which can significantly improve the stability and operating life of an RFQ accelerator, ensure the high-power continuous operation requirements, effectively improve the heat dissipation performance, and reduce the risk of equipment failure due to thermal effects.

The present application relates to the field of wind power generation technology, provide based on visual detection's wind turbine tower drum bolt loosening quantity identification method, the present application detects the actual maximum displacement variable of tower drum top along the cabin body direction when the fan runs, the actual maximum displacement variable of the flange plane along the cabin body direction where the bolt to be identified is located and the distance from the center of the bolt to the center of the flange plane where the bolt to be identified is located, calculates the maximum total external load suffered by the tower drum bolt, thereby identifying the loosening condition of the tower drum bolt, providing a new way to prevent the damage of the fan caused by the loosening of the tower drum bolt, thereby prolonging the operating life of the fan tower drum, improving the maintenance efficiency, reducing the maintenance cost, improving the safety and stability of the system.

The invention discloses a gear service life evaluation method, and belongs to the technical field of aerospace mechanism service life evaluation. According to the technical scheme, firstly, a five-stress wear rate data set containing the rotating speed, the torque, the temperature alternating, the vacuum degree and the microgravity is established; then constructing a tooth surface solid lubricating film thickness evolution model based on a Hertz-Archard coupling model, and taking the film thickness approaching to zero as a failure criterion; acceleration factors under each acceleration working condition are calculated through model iteration, and a gear acceleration life test is carried out under an optimized working condition; after the test, the film thickness is measured and compared with model prediction, the rated working condition life of the gear is reversely deduced, the long-time on-orbit life of the gear is equivalently predicted through the short-time ground test, and high acceleration efficiency and reliability are achieved. The technical problems of environmental simulation distortion and low acceleration efficiency in aerospace lubrication gear service life evaluation are solved.

The invention discloses a system and method for prolonging the operation life of a motor based on fuzzy control, and the method comprises the steps: building a state space, an action space and a reward function, and defining an optimization target as an optimal lubrication period; a Q-learning algorithm is used, an optimal strategy is learned through interaction with the environment, and the lubrication period is adjusted; approaching a Q function value by using a deep Q network, and automatically extracting a fuzzy control rule and a membership function through a neural network; automatically learning a nonlinear relation between the temperature and the vibration difference value through a neural network, and adjusting a fuzzy rule and a membership function shape; and the lubrication period is dynamically adjusted according to the real-time state, and self-adaptive control is achieved. By acquiring and processing related information of a motor lubricating point, lubricating grease required by the motor during working is deduced, and the lubricating point is filled with the corresponding lubricating grease, so that precise lubrication of the motor is realized, frictional resistance is reduced, and the service life of the motor is prolonged.

The invention discloses an unmanned aerial vehicle flight mission planning method with a thermal stealth function, and the method comprises the steps: collecting the state of an unmanned aerial vehicle, obtaining the task weight, initial resources, speed and other information of the unmanned aerial vehicle in a cluster, and calculating the flight time of each unmanned aerial vehicle, the task load of each unmanned aerial vehicle, and the path cost of each unmanned aerial vehicle. And finally, the path of each unmanned aerial vehicle in the cluster is optimized through a genetic algorithm. The method provided by the invention comprehensively considers the resources of the unmanned aerial vehicle, the stealth performance and the risk that the unmanned aerial vehicle may be detected and found by enemies, is convenient to calculate, facilitates the measurement or estimation of parameters, can quickly optimize the task planning of the unmanned aerial vehicle, saves energy for the unmanned aerial vehicle to execute various complex tasks, improves the service life, and provides a technical guarantee for the working efficiency.

The present invention belongs to the technical field of wind turbine bearing abnormality identification, and relates to a system and method for identifying bearing jam anomalies of wind turbines. The method includes three parts: checking the abnormal rotation speed in the standby state; checking the abnormal startup time during the startup process; and abnormal bearing temperature rise in the power generation state. The three conditions are judged, and the bearing abnormality is located when all are met. The algorithm can be transplanted into the field controller to conduct regular inspections of all units in the field, and issue early warning information to prompt operation and maintenance personnel to conduct further inspections and take action in advance to avoid the expansion of bearing problems, extend the operating life of the unit bearings, and avoid power generation losses of the unit. The operation big data of the wind turbine is analyzed, and by comparing various anomalies in the standby process, startup process, and operation process, the bearing problems in the unit transmission chain are effectively identified.

The application discloses a TBM cutter head main drive intelligent decision method and system, and belongs to the technical field of cutter head drive control. By constructing a master-slave type multi-drive unit collaborative architecture, unified regulation and control and target torque distribution of the drive system are realized; by monitoring current signals to identify faults, voltage vectors are reconstructed according to fault types, and continuous and stable output under faults is ensured; a disturbance observation method based on integral sliding mode is proposed, control deviation caused by system disturbance and parameter change is dynamically estimated and compensated; an MPTA control strategy of high-frequency virtual signal injection is designed, utilization of reluctance torque and stable tracking of the MTPA operating point are realized; the torque output capacity of the fault unit and the torque margin of the healthy unit are considered as a whole, a load distribution strategy is planned, and the overall load carrying capacity and operating life of the drive system are improved.

The present invention relates to a fastening device, particularly a support, designed and configured to receive a bearing in a textile machine, especially a rotor spinning machine, having at least one inner ring region and at least one outer ring region. To improve the safety of the operation of the textile machine, extend the operating life of the textile machine, and thus conserve resources, and to improve the operation of the textile machine, the inner ring region and the outer ring region are provided to be formed integrally.

The invention relates to the technical field of geometric parameter design optimization, and discloses a metal cavity cooling channel parameter design method based on multi-physics field coupling, which comprises the following steps: obtaining channel basic data according to cavity related data and detuning factors, providing a basis for the design of a cooling channel, and designing the cooling channel according to a preset channel design strategy. W channel initial data are constructed based on channel basic data, it is ensured that a cooling channel can effectively adjust the temperature and prevent thermal deformation and frequency detuning by simulating temperature tuning data, a temperature tuning coefficient and a design influence value are calculated by using parameters such as a Prandtt number, a Reynolds number and a Nusselt number, and a scientific basis is provided for optimization design; and the channel initial data is optimized through an intelligent optimization algorithm to obtain optimal channel data, so that the stability and the operation life of the RFQ accelerator can be remarkably improved, the high-power continuous operation requirement is ensured, the heat dissipation performance is effectively improved, and the equipment failure risk caused by the heat effect is reduced.

The application discloses a kind of unmanned aerial vehicle flight task planning methods with heat stealth function, method includes: unmanned aerial vehicle state acquisition, obtain the information such as the initial resource, speed of unmanned aerial vehicle task weight in cluster, respectively calculate the flight time of each unmanned aerial vehicle, the task load of unmanned aerial vehicle, the path cost of unmanned aerial vehicle, finally optimize the path of each unmanned aerial vehicle in cluster by genetic algorithm.The method provided by the application comprehensively considers the self resource of unmanned aerial vehicle, stealth performance, the risk that possibly be detected by enemy, and is convenient to calculate, parameter is easy to measure or estimate, can quickly optimize the task planning of unmanned aerial vehicle, saves energy for unmanned aerial vehicle to execute various complex tasks, improves operating life and work efficiency and provides technical support.

The application discloses a kind of life prediction method and system based on bearing wear state monitoring, comprising the following steps: step S1, obtain the wear state historical time series data of a plurality of bearings representing the entire operating life, and fit out life curve function based on the wear state historical time series data;Step S2, the wear state data of the target bearing to be predicted is input into the life curve function to predict the remaining life of the target bearing, the application uses the wear state historical time series data of a plurality of bearings representing the entire operating life to fit out life curve function, can realize only the wear state data of bearing is obtained to obtain the remaining life of bearing, and based on principal component extraction when the wear state historical time series data is acquired, only the state monitoring data with strong correlation with life is retained, realize the effective compression of data, guarantee the prediction correctness of life curve function while improving the fitting efficiency.

Gate valve embodiments, including assemblies, seats and seals, kits, and associated methods, are provided to improve operational performance by a reduction of particle intrusion at associated seals. In an embodiment, a gate valve has an actuator, a gate connected to the actuator, a valve body, and a valve seat with a debris protection seal thereon and one or more debris cavities therein. The valve seat is positioned in a bore of the valve body. The debris protection seal is positioned in a seal recess of the valve seat to contact a distal radial wall of the bore to elongate a debris path, thereby to reduce debris migration to the bore that causes leaks. The debris cavities are positioned in a distal surface of the valve seat to capture debris that has migrated through the debris protection seal, further reducing debris migration to the bore that causes valve leaks.

The invention provides a gas-liquid sealing structure for a gear box and the gear box, relates to a sealing structure, and aims to solve the problem that sealing gas of current dry gas sealing easily enters the gear box to cause faults. Due to the fact that sealing gas may leak under the action of pressure, the choke disc can play a role, the choke disc prevents the gas from directly impacting the interior of the gear box by changing the flow direction of the sealing gas and reducing the axial thrust of the sealing gas, meanwhile, the leaked sealing gas can be smoothly discharged through the design of the exhaust hole and the exhaust mixing hole in the end cover, and the service life of the gear box is prolonged. And the pressure is kept consistent with atmospheric pressure, so that the normal operation of the gearbox is ensured to prolong the service life.

The present application aims to provide a kind of self-checking method of air compressor working performance, which can monitor the internal mechanical wear and tear and external pipeline flow resistance of air compressor in real time, report the estimated results of relevant information in real time, and through self-checking and self-reporting the health condition of air compressor, can make the after-sales end intervene in targeted maintenance work, improve the service life of the whole machine, reduce the sudden failure of air compressor, and ensure the safe operation of vehicle.The present application includes air compressor, air tank, air compressor controller, instrument and vehicle controller, external air is accessed to the air inlet of air compressor through filter, the air outlet of air compressor is accessed to air tank through dryer, air compressor is electrically connected with air compressor controller, instrument, air compressor controller, dryer and air tank are electrically connected with vehicle controller.The present application is applied to the technical field of compressor control.

The present invention discloses a temperature monitoring method, system and storage medium for a double-chamber lime kiln suspension cylinder, comprising the following steps: S1, obtaining the air temperature t of each temperature measuring point i in the air flow cooling channel of the suspension cylinder; i ; S2, obtain the estimated heat transfer constant const; S3, obtain the proportional temperature rise a of the temperature measurement interval j j ; According to the proportional temperature rise a j Corresponding proportional temperature rise curve, determine the proportional temperature rise a that deviates from the proportional temperature rise curve by more than the preset threshold j The temperature monitoring method of the double-chamber lime kiln suspension cylinder of the present invention uses the mean value screening method and the change of proportional temperature rise to make the abnormal temperature rise change significantly, determine the local over-temperature area, and is more sensitive to the capture and monitoring of the local over-temperature of the suspension cylinder. It can provide timely warning for the production site, thereby effectively extending the service life of the suspension cylinder.

The present invention discloses a method for improving the service life of a supercharged turbine in a mechanical oxygen system, as well as a turbine axial force testing device and method. The turbine axial force testing device includes a shaft, bearings, bushings, bearing housings, sealing bushings, impellers, intermediate housings, volutes, and a data acquisition instrument, strain conditioner, stress ring, press, etc. required for axial force testing. During the axial force test, the force-strain relationship and temperature-strain relationship of the stress ring are tested separately. When the test result error is within a set range, the axial force value is determined by combining the strain value in the temperature-strain relationship with the force-strain relationship. The present invention determines the key factors that affect the service life of the supercharged turbine, and at the same time realizes the axial force test of the supercharged turbine in the mechanical oxygen system, providing a reliable and powerful basis for the axial force balance design of the supercharged turbine to ensure the operating life of the supercharged turbine.

The invention relates to a robot motion joint which comprises a motor fixed on a base and a rotating shaft overhung from a motor rotor, a movable joint is fixed on the rotating shaft, and the motor rotor moves to drive the movable joint fixedly arranged on the rotating shaft to move; the bearing is arranged between the rotating shaft and the base, a bearing inner ring of the bearing sleeves the rotating shaft, a bearing outer ring of the bearing is fixed on the base, and the bearing can bear an axial load and a radial load between the bearing inner ring and the bearing outer ring. According to the anti-impact joint mechanism, the bearing is additionally arranged between the motor and the movable joint, the bearing transmits impact from the movable joint to the base, the motor is prevented from being directly impacted, the problem that the motor is frequently damaged due to impact in the operation process of a robot is solved, and the service life of the motor can be effectively prolonged.

The invention discloses a power transformer end structure optimization method and system, and the method comprises the steps: collecting first object data, and inputting the first object data into a first structure model; and performing verification calculation, and judging the rationality of the first structure model. And constructing a first calculation model according to the first object data, and calculating first key data. And optimizing the first calculation model, and outputting the optimized first object structure size. According to the power transformer end structure optimization method and system, electric field distribution is accurately predicted, the size and the weight of equipment are effectively reduced, the manufacturing cost is reduced, meanwhile, the thermal stability and the heat dissipation effect of the equipment are improved, the working life of the power equipment is greatly prolonged, and the operation efficiency of the power equipment is greatly improved. And long-time stable operation of equipment in a high-load and complex working environment is ensured.

The present invention discloses an amorphous alloy transformer with buffer protection, which relates to the technical field of transformers. A number of protective springs are equidistantly installed at the inner bottom end of the outer fixed integration box. The top end of the protective spring is fixed with an inner fixed processing box, and the top end of the inner fixed processing box is fixed with a top sealing fixing plate. Fixed dampers are symmetrically installed at the inner bottom end of the outer fixed integration box, and elastic rubber blocks are installed at the top ends of the fixed dampers. The present invention effectively solves the problem in the prior art that due to factors such as magnetic field changes, electromagnetic force imbalance, uneven cooling rates of silicon steel sheets and windings, etc., the equipment generates large-amplitude vibrations and noises, and avoids the resonance reaction of the equipment affected by vibrations and noises, thereby realizing the protective treatment of transformer components, reducing the speed of component damage, and cooperating with circulating cooling and three-stage linkage cooling, effectively reducing the temperature of the transformer during continuous operation and improving the operating life of the transformer.

This invention relates to a pneumatic anti-manipulation load simulator and its simulation method, belonging to the field of load simulation technology. It solves the problems of existing anti-manipulation load simulators, such as numerous components, short service life, complex control, low loading accuracy, and large size. The pneumatic anti-manipulation load simulator of this invention includes: a cylinder assembly, an eccentric shaft, a transition shaft assembly, and a servo mechanism. The output end connecting rod of the cylinder assembly is rotatably connected to the eccentric shaft via a lug. The eccentric shaft can rotate around the output shaft axis of the servo mechanism under the drive of the cylinder assembly. The eccentric shaft is connected to the output shaft of the servo mechanism via the transition shaft assembly. When the cylinder drives the eccentric shaft to rotate, an anti-manipulation load can be applied to the output shaft of the servo mechanism through the eccentric shaft and the transition shaft assembly. The structure is simple and the control accuracy is high.

The utility model discloses a high-precision anti-backlash linear bearing which comprises a bearing seat, a metal outer sleeve is arranged in the bearing seat, an inner sleeve is fixedly connected in the metal outer sleeve, adjusting gaps are formed in one side of the interior of the metal outer sleeve and one side of the interior of the inner sleeve, a fixing block is arranged in the metal outer sleeve in a circular shape, and the fixing block is fixedly connected with the metal outer sleeve. Limiting grooves are symmetrically formed in one side of the interior of the bearing seat, limiting rings are arranged in the limiting grooves, the two-way threaded rod is rotated, the connecting blocks are in threaded connection with the two-way threaded rod, the distance between the two ends of each limiting ring is gradually decreased, the inner diameter of each limiting ring is decreased, and therefore the metal outer sleeve and the metal inner sleeve continue to be shrunk; the gap between the shaft and the bearing is eliminated, and the problems that the inner diameter gap between the shaft and the bearing is increased, so that vibration and noise are generated in the movement process, even the linear precision cannot be guaranteed, the service life is shortened, and the operation life of other parts of the whole machine is affected are solved.

The present application relates to the technical field of power system, disclose a kind of station SVG reactive dead zone hedging distribution strategy and device.The station SVG reactive dead zone hedging distribution strategy of the present application includes the following steps: obtaining application station information;Obtain total reactive demand Q req ;Based on total reactive demand Q req , determine minimum constraint target T min Calculation method;Iterative solution minimum constraint target T min And store corresponding calculation result;Based on the total reactive demand and the minimum constraint target T min , determine the reactive power distribution strategy corresponding to each available SVG, obtain reactive power instruction matrix.The station SVG reactive dead zone hedging distribution strategy of the present application can realize the accurate distribution of reactive power instruction under different SVG rated capacity and different SVG reactive dead zone, improve the precision of station reactive control;It can be realized that each SVG reactive output load is minimum under the premise of meeting total reactive demand, corresponding SVG device loss is minimum, and the operating life of SVG device is improved.

The application discloses a kind of unmanned aerial vehicle power management method, device and system based on thermal stealth material, the method includes: the real-time power requirement calculation of each functional system;Power resource allocation calculation;Optimization correction based on adjustment function;Final maximize unmanned aerial vehicle task efficiency and endurance time.The method provided by the application comprehensively considers the power requirement difference of each functional system of unmanned aerial vehicle when performing different tasks, fully considers the influence of external environment on power requirement, considers that, under high load task, the shortage of power management can cause the endurance time of unmanned aerial vehicle to decrease substantially, affect the execution effect of its task and the like risk, and calculation is convenient, parameter is easy to measure or estimate, can quickly carry out power resource allocation of each system of unmanned aerial vehicle, provides technical support for safe work, energy saving, improves operating life and work efficiency of unmanned aerial vehicle.

The present invention belongs to the field of concrete mixer trucks and discloses a spherical flexible support device and a concrete mixer truck, comprising a base, a body, and a connecting plate. The base has a mounting hole, the inner wall of the mounting hole comprising an inner spherical surface and a cylindrical surface connected to each other, an elastic sleeve being sleeved on the cylindrical surface, and an axial protrusion being provided on the elastic sleeve. Both sides of the mounting hole have a plane and a first vertical surface connected to each other, and an elastic block is provided on the plane. The body has a receiving cavity, and second vertical surfaces are provided on both sides of the receiving cavity. The two ends of the elastic block are respectively in contact with the first vertical surface and the second vertical surface on the same side. The outer wall of the receiving cavity comprises an outer spherical surface and an outer conical surface connected to each other, the outer spherical surface is in contact with the inner spherical surface, and the outer conical surface is in contact with the elastic sleeve. Lubricant is provided in the receiving cavity, and a plurality of lubrication holes are provided on the side walls of the receiving cavity. A plurality of connectors are provided on the connecting plate, and the connectors are connected to the body. The device effectively compensates for the error angle between the mixing tank and the reducer, improves the overall operating life and reliability, and is low in cost.

The present invention provides a control method and storage medium for a fire-fighting fluid supply system, belonging to the field of firefighting technology. The fire-fighting fluid supply system includes: a fire pump; a fire-fighting nozzle; a fluid supply pipe; a valve; a command input module; and a controller. The control method comprises the following steps: the controller reads a firefighter's command from the command input module at a preset time interval Δt, executes a control operation, and records the control operation; t = 0 is set as the time the fire-fighting fluid supply system is powered on; then, at time t = iΔt, the controller executes a control operation according to a specified rule based on the command at that time, the valve opening, the speed of the adjustable motor, and the control operation record since power-on. The present invention achieves flexible, rapid, efficient, and reliable regulation of the spray flow rate and spray speed while saving operating energy and extending operating life.

A smart steering control system a paving or texturing machine receives path elements corresponding to current and future positions of the machine. By comparing the current and future elements, an expected completion time is derived for exiting the current position and entering the future position; the smart steering control system synchronizes adjustments of the machine's steerable tracks from the current path to the future path. The smart steering control system functions as a virtual tie rod, preventing damage, enhancing the traction control and pulling power of the machine, and preserving the operating life of its components.

A modular and on-demand battery thermal management system (BTMS) for an electric machine with a battery is disclosed. The BTMS may include one or more independently operable BTMS modules, where each BTMS module may be configured to cool a corresponding component of the electric machine, such as a particular battery pack. Each BTMS module, in turn, may include a plurality of BTMS units that cool coolant that is to be delivered to the components that are to be cooled within the electric machine. The individual BTMS units may be independently operable by a BTMS controller based at least in part on the cooling needs of the components to be cooled. The BTMS controller is also configured to select BTMS units to operate in a manner that maximizes the operating life and durability of the BTMS.

Methods, systems, apparatus, and articles of manufacture to extend the life of embedded processors are disclosed herein. Disclosed example apparatus include a policy selector to select a policy, based on input information. The apparatus extends an operating lifespan of a microprocessor having a plurality of cores. The apparatus also includes a cores partitioner to divide, based on the selected policy, the plurality of cores into subsets of cores, including a first subset and a second subset. A sensor monitors, based on the selected policy, at least one operational parameter of the cores, and a cores switcher switches a first core of the first subset of cores from active to inactive and to switch a second core of the second subset of cores from inactive to active based on the at least one operational parameter. The switches reduce an amount of degradation experienced by the first core and the second core.