281 results about "Gear wear" patented technology

The invention discloses a use monitoring method and system for a knife gate valve, and relates to the technical field of knife gate valve monitoring, and the method comprises the steps: integrating a multi-mode sensor array at the root of a valve rod of the knife gate valve, an adjacent region of a sealing surface and in a valve cavity flow channel, and collecting multi-source signals in real time; performing dynamic fusion processing on the multi-source signal, and determining a feature extraction algorithm combination based on the current valve rod temperature and historical working condition data to extract a sealing surface damage feature, a transmission chain wear feature and a particle impact feature; constructing a dynamic anomaly judgment model, updating a clustering boundary of a vibration and torque characteristic space in real time, and performing decoupling diagnosis on a sealing surface dry friction risk, thread clearance expansion and gear wear in combination with time-frequency domain fluctuation analysis of a gear meshing frequency harmonic attenuation rate and an angular acceleration; and generating a three-level maintenance strategy according to the diagnosis result, dynamically adjusting the output torque of the execution mechanism and optimizing the switching frequency of the valve.

The invention relates to the technical field of electric digital data processing, in particular to a fault online monitoring method and system for a cable braiding machine, and the method comprises the steps: obtaining a vibration monitoring signal and a tension monitoring signal when the cable braiding machine works; at different gear rotating speeds, fluctuation of the vibration monitoring signals caused by gear abrasion is analyzed, and the gear vibration abnormal degree of the cable braiding machine is obtained; analyzing the time synchronism of the vibration monitoring signal and the tension monitoring signal to obtain a sudden change position overlap ratio, and analyzing the amplitude change consistency of the vibration monitoring signal and the tension monitoring signal to obtain amplitude change relevance; and determining the gear fault rate of the cable braiding machine based on the gear vibration abnormal degree, the sudden change position overlap ratio and the amplitude change relevance, and determining a fault maintenance strategy of the cable braiding machine based on the gear fault rate. According to the invention, the electric digital data of the cable braiding machine during working are processed, and real-time and accurate online monitoring is carried out on faults.

The invention belongs to the technical field of gear health state evaluation, and discloses a vibration signal-based gear wear area monitoring method under a variable speed condition, which comprises the following steps of: acquiring a vibration signal of a gear, and calculating a time-frequency distribution signal of the vibration signal based on multiple synchronous extraction transformation; phase information is extracted from the time-frequency distribution signal, and then an angular domain signal is obtained through angular domain resampling; segmenting and aligning the angular domain signal according to the fault period of the gear to obtain a deterministic component related to gear wear; the deterministic component is optimized through a Savitzky-Golay filter, and then an order spectrum and a comprehensive order band energy ratio are calculated; according to the method, the accumulated comprehensive energy ratio index is used for evaluating or monitoring the wear area of the gear, so that the wear severity degree is quantitatively evaluated, the wear area of the gear can be accurately and quantitatively evaluated under the condition of variable rotating speed, and the accuracy and the reliability of the gear are improved. And accurate monitoring and evaluation of gear wear are realized.

The invention relates to the technical field of gear oil injection, and provides a power plant coal mill bull gear oil spraying device which comprises an oil storage tank used for storing oil, one side of the oil storage tank is communicated with a pump body provided with two liquid outlets, the two liquid outlets of the pump body are communicated with a spraying assembly in a coal mill gearbox through oil injection pipes, and the spraying assembly is communicated with the oil storage tank. The spraying assembly is driven by an electric push rod to be stored, a cavity is formed in the other side of the oil storage tank, a motor is installed in the cavity, and two cooling pipes in the oil storage tank are located on the outer wall of the motor in a spiral mode so that energy transmission between the cooling pipes and the motor can be achieved. The phenomenon that the spray head is blocked due to exposure in air is avoided, the spraying efficiency of lubricating oil is ensured, meanwhile, the flowability and the lubricating performance of the lubricating oil are ensured through energy conversion, the lubricating effect is improved, gear abrasion is reduced, the service life of the gear is prolonged, and on the contrary, a certain cooling effect can be achieved on the motor.

The invention relates to the technical field of gear detection, in particular to a gear wear detection method and system of a gear motor. According to the method, firstly, all fault characteristic frequencies are obtained based on historical vibration signals of a fault gear, then vibration signals of a to-be-detected gear are divided into a plurality of local impact sub-segments, and the local frequency spectrum of each local impact sub-segment and the kurtosis of each frequency in the local frequency spectrum are obtained; fitting a fuzzy estimation signal of the vibration signal in combination with power distribution under each fault characteristic frequency in the time-frequency spectrum, and then modulating the vibration signal in combination with a motor load condition; and finally analyzing a frequency spectrum signal of the modulation vibration signal, and evaluating the early wear type of the gear to be detected. According to the method, the vibration signal is modulated by analyzing the covering interference of noise and motor load on local wear impact, and the frequency modulation effect and the amplitude modulation effect are further analyzed in the frequency domain of the modulated vibration signal, so that the early wear type is accurately distinguished, and the gear wear detection effect is improved.

The invention provides a clearance adjusting pre-tightening and monitoring mechanism for gear and rack pair transmission, which is used for realizing accurate control and abrasion monitoring of a meshing clearance of a single gear and rack pair transmission mechanism and comprises a sliding plate, a pre-tightening device, a pre-tightening device and a monitoring device, and the upper end face of the sliding plate is provided with an adjusting groove; the single-gear-rack pair transmission mechanism comprises a driving device, a gear, a rack in meshing transmission connection with the gear and a mounting plate, the driving device is fixedly connected with the mounting plate, the output end of the driving device is in transmission connection with the gear, and the mounting plate is slidably connected into the adjusting groove; the gap adjusting pre-tightening mechanism is arranged between the sliding plate and the mounting plate and is used for adjusting the meshing gap between the gear and the rack and applying pre-tightening force; the gear abrasion monitoring mechanism comprises a monitoring plate fixedly connected to the upper portion of the sliding plate, a dial indicator and a displacement sensor, the dial indicator and the displacement sensor are fixedly connected to the monitoring plate, and a monitoring datum plane matched with the dial indicator and a measuring head of the displacement sensor is arranged on the mounting plate. And the gear wear condition is monitored in real time.

The invention relates to the related technical field of torque detection, in particular to a gear pump output torque fluctuation online detection method and system.The method comprises the steps that operating parameters such as gear pump vibration acceleration are collected, threshold values such as the pressure change rate and a gear rotation vector are combined to draw up a characteristic matrix, and a torque pulsation mode is recognized; and configuring a fluctuation stability factor correlation model weight, determining a torque fluctuation grade and performing graded reminding. The method solves the technical problems that the characteristic change of early faults such as gear wear and cavitation is not sensitive, the torque fluctuation cause cannot be determined, the fault diagnosis is lack of depth, and the risk of sudden equipment faults is increased, realizes the accurate capture of a complex fluctuation mode, and determines the fault diagnosis accuracy according to a closed volume pressure change rate threshold and an unloading groove cavitation critical value. The technical effects that the gear pump closed volume pressure change, the unloading groove cavitation effect and the mechanical vibration cooperative influence are quantified, the torque fluctuation grade is determined through early-stage accurate recognition of faults, and graded reminding is conducted are achieved.

An integrated electric wheel with a cooling function comprises a hub motor with a cooling water channel, a planetary reducer connected with a rotating shaft of the hub motor, a hub connected with the output end of the planetary reducer and a brake fixed to the hub, and is characterized in that the cooling water channel in the hub motor extends forwards to the periphery of the planetary reducer; and the planetary reducer is circularly cooled, and an oil guide assembly for collecting oil liquid thrown out in the circumferential direction and conducting lubricating and heat dissipation on the planetary reducer is assembled on the planetary reducer. Lubricating and radiating efficiency of parts close to the center of the speed reducer is effectively improved, temperature rise and part abrasion in the speed reducer are slowed down, the probability of abnormal transmission caused by bearing sintering and gear abrasion due to high temperature is effectively reduced, transmission reliability of the planetary speed reducer is improved, and the service life of the planetary speed reducer is prolonged. Integrated optimization of multiple structures of the electric wheel is formed, the integration degree is improved, whole vehicle arrangement is facilitated, the power density of the electric wheel is improved, and the cruising ability of the electric wheel is improved.

The invention relates to the technical field of tractor power system fault diagnosis, and discloses a method and system for remotely diagnosing a power system fault of a tractor, and the method comprises the steps: monitoring a vibration signal, a sound signal and a temperature signal of a transmission gear of the tractor; extracting a frequency domain feature, a Mel frequency cepstrum coefficient feature and a temperature change trend feature of the vibration signal; carrying out weighted fusion on the signal features by adopting a dynamic weighting mechanism; constructing a fault prediction model based on an XGBoost algorithm, and outputting the gear wear degree and the fault occurrence time; and generating a fault early warning and transmitting the fault early warning to a mobile terminal APP and a cloud platform through an LTE or 5G network. Compared with a traditional fault diagnosis method in the prior art, particularly under the condition of dynamic working conditions, the technical problem that efficient and accurate fault diagnosis of the tractor power system is difficult to realize is solved, and the accuracy and response efficiency of fault diagnosis are improved by combining the convolutional neural network and the XGBoost algorithm.

An electric power train includes an electric drive, an electric motor driven by the electric drive, and a meshing pair of a drive gear and a driven gear. The drive gear is coupled to the electric motor and the driven gear is coupled to a mechanical load. The backlash of the meshing pair of the drive gear and the driven gear is measured and estimated based on a time until a contact of teeth of the rotating drive gear and the driven gear during a startup of the electric motor. Wear of the meshing pair of the drive gear and the driven gear based on a change in the measured backlash over time during the operation of the electric power train.

The invention relates to a quasi-static straight gear wear numerical analysis method, and belongs to the technical field of mechanical engineering. The method comprises the following steps: calculating a dynamic wear coefficient by using a mixed lubrication model; the contact pressure and the sliding distance are calculated in an integral form, a straight gear quasi-static numerical wear model is established by using matlab software with the help of an Archard formula, and a wear value is calculated; the influence rule of the modulus, the torque and the tooth width on the abrasion loss is obtained, and meanwhile the significance of the influence of the three factors is analyzed through an orthogonal experiment method. Compared with the prior art, the method has the advantages that the problem that the calculation of the contact pressure is greatly influenced by the grid units is researched and solved, so that the obtained contact pressure value is more accurate, and the tooth surface wear is reduced according to the rule and significance analysis of the influence of various factors.

The invention discloses a dual-function large gearbox gear wear scrap iron particle monitoring transmitter which comprises a monitoring module and a transmitting module, the monitoring module comprises a sensor probe and an installed magnet, and is provided with a sensor plate, a Hall magnetic sensing element and a temperature platinum resistor, and the transmitting module comprises a shell. A conditioning circuit board is arranged in an inner cavity of the shell. The invention relates to the technical field of scrap iron monitoring. According to the dual-function large-scale gearbox gear abrasion scrap iron particle monitoring transmitter, when fallen scrap iron is adsorbed through the sensor, the magnetic quantity of the sensor changes slightly, the transmitting module conducts conditioning according to a change signal of the sensor and converts the change signal into a digital signal or an analog signal, and then the signal value is output to an acquisition end; and through an area algorithm averaging mode, the current condition of the scrap iron content of the gear box can be observed in real time, and the running health state is monitored in real time.

The utility model discloses a four-shaft double-planet stirring machine which comprises a shell component, a base component, a rack lifting component, a transmission component, a cylinder score component, a cylinder cover component, a dispersing component, a stirring component, an electric appliance control component and a planet carrier component, the planet carrier component comprises a bearing seat, the inner wall of the bearing seat is in flange connection with an inner shaft and an outer shaft, the circumferential outer wall of the tail end of the outer shaft is fixedly connected with a fixed star stirring gear and an upper connecting plate, the circumferential outer wall of the tail end of the inner shaft is fixedly connected with a fixed star dispersing gear and a lower connecting plate, and the outer wall of the fixed star dispersing gear is meshed with an intermediate gear; supporting shafts penetrating through the lower connecting plate are symmetrically and fixedly connected to the outer wall of the bottom of the upper connecting plate, a sealing cylinder is fixedly connected to an inner cavity of the shell component, and the bearing seat is fixedly connected to an inner cavity of the sealing cylinder. The device has the advantages that high viscosity can be efficiently mixed and dispersed, the stability and uniformity of materials are guaranteed, the torque is more balanced, and gear abrasion is reduced.

The utility model belongs to the technical field of vehicle manufacturing, and particularly relates to a steering assembly and a vehicle. The steering assembly comprises a shock absorber and a vehicle angle module. The vehicle angle module comprises a bogie, and a shock absorber is arranged below the bogie and can be connected between the bogie and a vehicle frame of the vehicle. The shock absorber is arranged to be capable of conducting one-way telescopic movement so as to provide damping force between the bogie and the frame. According to the steering assembly, the shock absorber is additionally arranged on the basis of the vehicle angle module, the shock absorber can provide damping force to attenuate vibration transmission between a bogie and a vehicle frame, and vehicle shimmy is relieved. The shock absorber can also provide a certain degree of pre-pressure for the steering motor in the vehicle angle module through the bogie, so that it is guaranteed that gears in the steering motor are kept in a tight contact state, gear abrasion is relieved, the shimmy aggravation risk caused by gear abrasion is reduced, and the service life of the vehicle angle module is prolonged.

The utility model relates to the technical field of gear processing, in particular to a gear wear resistance detection device which comprises a base, a detection table is fixedly connected to the upper surface of the base, two symmetrical mounting plates are fixedly connected to the upper surface of the base, a threaded rod is jointly and rotationally connected between the inner walls of the two mounting plates, and a threaded rod is fixedly connected to the inner wall of the threaded rod. Wherein the outer wall of one mounting plate is fixedly connected with a gear motor used for driving the threaded rod, the outer wall of the threaded rod is in threaded connection with a threaded block, the lower surface of the threaded block is fixedly connected with an electric push rod, the bottom end of the electric push rod is fixedly connected with a supporting plate, and the inner wall of the bottom end of the supporting plate is rotationally connected with a rotating rod. The gear detection device can effectively move the gear to be detected to a detection area, and can take out the gear after the gear to be detected is detected, so that the subsequent gear wear resistance detection process is prevented from being influenced, and the detection effect of the detection device is improved.

The invention relates to the technical field of mechanical design and manufacturing, and provides a single-motor anti-backlash mechanical rotating platform. The rotating platform comprises a horizontal adjusting mechanism, a gear anti-backlash mechanism, a truss mechanism and an optical platform. The gear anti-backlash mechanism is arranged on the side face of the rotating base. The single-motor high-elasticity compensation gear anti-backlash mechanism is easy and convenient to control and low in cost, meanwhile, the influence of backlash backlash is solved, backlash errors and kick errors are reduced when an optical platform rotates in the forward direction and the reverse direction, transmission precision and stability are improved, and gear abrasion is reduced. Through the splicing type truss mechanism designed in a lightweight mode, the multi-unit optical platform and the adjusting mechanism, the mechanical rotating platform which is good in rigidity, high in plane precision and large in assembling space can be spliced, assembling is easy, and hoisting is convenient; the rotating platform is especially suitable for large precise instruments such as large telescopes and the like requiring large assembly space.

The invention relates to a device for detecting the abrasion loss of a hump speed reducer for a railway station, which is characterized in that when a wheel passes through a main track, the rim of the wheel is in contact with the upper end of a detection elastic sheet, the detection elastic sheet is pressed to move downwards, a total connecting rod of the detection elastic sheet and a main arm move to the lower position, and a conical head at the lower end of the main arm is clamped in a right-angle clamping groove between two groups of clamping seats; the clamping hook is in limiting fit with the limiting clamping groove of the detection elastic sheet main connecting rod through the clamping hook insertion hole; the contact piece moves to one side close to the detection elastic piece; when a wheel passes through the main track, the width of an opening between the two clamping seats is increased, clamping of the main arm is relieved, the main arm ascends and resets, the clamping hook moves outwards to the position separated from the limiting clamping groove, limiting of the detection elastic piece total connecting rod is relieved, the detection elastic piece total connecting rod moves to the upper portion, and the synchronous contact piece moves outwards to the position tightly attached to the speed reducer friction piece. The distance from the hump speed reducer to the rail head is obtained through scales on the scale rod, and the abrasion loss of the hump speed reducer is obtained by subtracting the two distances from the hump speed reducer to the rail head. According to the invention, accurate detection of the abrasion loss can be realized.

The invention relates to a working condition following gear wear monitoring and predicting method based on a vibration signal, belongs to the technical field of gear transmission, and solves the problem that influence of different working conditions and different wear states of different positions of a gear cannot be considered in gear wear monitoring and prediction in the prior art. Comprising the following steps: S1, establishing a working condition Map graph based on dynamic working condition division of multi-source sensor fusion, and updating the working condition Map graph in real time; s2, establishing an Archard wear correction model, and calculating the wear extent of the gear; s3, establishing a gear nonlinear vibration model considering wear and clearance influence, and solving a vibration signal of a gear system; s4, a CNN-LSTM mixed wear diagnosis model is established, and training is carried out; and S5, acquiring and processing in real time to obtain a vibration signal of the gear system, and inputting the vibration signal into the CNN-LSTM mixed wear diagnosis model to obtain the current wear state probability distribution of the gear and the wear development trend prediction of the gear.

The invention relates to the technical field of obstacle crossing wheels, and discloses an obstacle crossing wheel and a wheel type inspection robot, the obstacle crossing wheel comprises a wheel axle, one end of the wheel axle is detachably connected with a hub, the outer wall of the hub is fixedly connected with three connecting rods arranged at equal intervals, the end, away from the hub, of each connecting rod is rotatably connected with a wheel plate, and the two ends of each wheel plate are connected in sequence; a connecting groove is formed in one side of the inner wall of the wheel plate, a positioning shaft is fixedly connected in the connecting groove, the connecting rod is rotationally connected with the positioning shaft, two connecting plates are fixedly connected to one end of the wheel plate, a connecting shaft is fixedly connected between the two connecting plates, and a deformation rod is rotationally connected to the outer wall of the connecting shaft. According to the obstacle crossing wheel and the wheel type inspection robot, the deformation function of the whole obstacle crossing wheel is achieved through mutual cooperation of the deformation track and the moving ball, and therefore the stable and efficient obstacle crossing capacity is provided for the robot, and the problems of noise, vibration, faults and the like caused by gear abrasion are avoided.

The invention discloses an electric slewing mechanism safety control method and system based on fault prediction, and the method comprises the steps: obtaining time series data including the motor winding temperature of an electric slewing mechanism, the U, V and W three-phase current of a motor, the rotating speed of the motor, the torque of the motor, and the X, Y and Z three-direction vibration acceleration of a transmission shaft, and corresponding fault type labels; constructing to obtain a training data set; wherein the fault types comprise motor over-temperature, motor overload, motor stalling, gear wear and output shaft breakage; training the LSTM network by using the training data set to obtain a trained LSTM network model; based on the trained LSTM network model, electric slewing mechanism fault prediction is carried out, a fault prediction result is obtained, and the fault prediction result comprises the probability value of each fault type; and performing fault grading processing according to the fault prediction result.

The invention relates to the field of machinery, in particular to a drum type rotary filter screen driving device. According to the device, a power output gear is meshed with a first transmission gear and a second transmission gear at the same time; the first transmission gear, the second transmission gear and the power output gear are all installed on the gear disc. The chain disc is connected with the replacement control gear through a transmission chain; the replacement control gear drives the gear disc to rotate; the laser sensor monitors the states of the first transmission gear and the second transmission gear; the water pipe is erected above the drum-shaped filter screen rack; a high-pressure nozzle is arranged at the end of the water pipe; an angle adjusting unit is arranged at the joint of the high-pressure nozzle and the water pipe; the lubricating oil nozzle is arranged in a gap between the first transmission gear and the power output gear; and the control unit is used for receiving the gear abrasion loss information of the laser sensor and starting water filling, transmission gear replacement or lubricating oil adding of the lubricating module. According to the invention, the service cycle is prolonged, the drum net out-of-service time is reduced, and the reliability of equipment is ensured.

The invention discloses a gearbox fault early warning method and system based on oil sample online analysis, and relates to the technical field of gearbox fault early warning, the system comprises an oil sample extraction module, an oil sample analysis module, a data processing module, an analysis and judgment module and an early warning generation module; the oil sample extraction module is used for extracting gearbox lubricating oil as an oil sample at a fixed frequency; analyzing components in the extracted oil sample through the oil sample analysis module, detecting the abrasive particle concentration and the particle size in the oil sample, and analyzing the particle uniformity; the data processing module is used for setting a critical value of a gear in a gear box in a normal wear state; the concentration, the particle size and the particle uniformity of the abrasive particles in the oil sample are compared with critical values through the analysis and judgment module, and an early warning instruction is generated; a corresponding fault early warning is generated through the early warning generation module according to the instruction; by analyzing the components of the oil sample, the gear wear degree can be more accurately judged, and early warning is generated in time.

The invention discloses an offshore wind turbine generator gearbox fault diagnosis method based on a knowledge graph, and relates to the technical field of intelligent fault diagnos.The offshore wind turbine generator gearbox fault diagnosis method based on the knowledge graph comprises the following steps that in the operation process of a wind turbine generator, sound wave data of a gearbox are collected through a preset sampling period; and a stable signal acquisition framework is established, and original signal input is provided for subsequent data processing. By dynamically adjusting the sampling frequency, early recognition and accurate diagnosis of potential faults of the gear box are achieved, and the operation reliability and maintenance efficiency of a wind turbine generator are effectively improved. Tiny noise changes are captured through dynamic sampling, gear abrasion is found in time, and fault deterioration is prevented; when stable, the sampling frequency is reduced to optimize resource utilization. Machine learning and a knowledge graph are combined, complex operation conditions are adapted, the fault diagnosis precision is improved, the service life of equipment is prolonged, and the maintenance and shutdown cost is reduced.

The invention provides a hidden Markov prediction compensation method and system for gear wear evolution, and belongs to the technical field of gear transmission, and the method comprises the steps: constructing a hidden Markov chain of a gear wear state-compensation parameter, building an encoder coding-decoding frame in a gear compensation system, extracting a hidden Markov chain state sequence by using an encoder, and carrying out the coding-decoding of the hidden Markov chain state sequence. A decoder is used for feeding back a prediction result to the compensation module; the observation sequence of the hidden Markov chain is substituted into the trained hidden Markov model, a corresponding state sequence is obtained, and life end point prediction is carried out; the state sequence is converted into an end-of-life prediction curve, and an optimal end-of-life value with the shortest distance between a prediction value and a target is searched in a pre-drawn compensation optimization solution space to serve as a reference wear state; and the reference wear state is substituted into an encoder in the hidden Markov chain, encoding curve parameters are obtained, parameter optimization is carried out on a compensation curve, and a traditional passive response strategy is converted into an active prevention strategy.

The invention discloses a lubricating structure for a planetary gear set and a filter, and the lubricating structure for the planetary gear set comprises a planet carrier, a rotating shaft connected with an eccentric sun gear in a sleeving manner, a planetary gear engaged with the eccentric sun gear and rotatably mounted on the planet carrier, and a lubricating assembly arranged in the inner wall space of the planet carrier, the lubricating assembly comprises a control part and an extrusion part, and when the rotating shaft rotates, the control part is used for driving the extrusion part to directionally convey lubricating oil to the eccentric sun gear through the extrusion pipe and transmitting the lubricating oil to the planetary gear through the rotating motion of the eccentric sun gear, so that automatic lubrication between the eccentric sun gear and the planetary gear is achieved. Automatic lubrication between the eccentric sun gear and the planetary gear can be achieved, the problems that lubrication is insufficient, gear abrasion is accelerated and the like due to the fact that workers forget to add lubricating oil due to negligence are solved, and regular inspection of workers is not needed; the service life of the planetary gear set is prolonged, and the reliability and stability of equipment operation are improved.

The invention discloses a gear abrasion testing machine and a testing method, and relates to the technical field of gear testing equipment. Real working conditions can be highly simulated, and the gear and the lubricating oil can be subjected to integrated collaborative testing. The testing machine comprises a gear accompanying test box, a gear test box, a first shaft system and a second shaft system, the first shaft system comprises an accompanying test pinion mounting shaft and a test bull gear mounting shaft; the accompanying pinion mounting shaft is fixedly connected with an accompanying pinion; the test bull gear mounting shaft is fixedly connected with a test bull gear; two ends of the accompanying test pinion mounting shaft are respectively connected with the driving motor and the test bull gear mounting shaft; the second shaft system comprises an accompanying test bull gear mounting shaft, a torque sensor, a loading clutch and a test pinion mounting shaft; an accompanying test bull gear is fixedly connected to the accompanying test bull gear mounting shaft; the test pinion mounting shaft is fixedly connected with a test bull gear; the loading clutch is used for applying and locking static torque; the invention further discloses a testing method based on the testing machine.

The invention discloses a fan main gear wear degree diagnosis method and system, and the method comprises the steps: carrying out the collection and normalization processing of a gear oil moisture value and a 40 DEG C kinematic viscosity data value, and obtaining a gear oil moisture normalization value and a 40 DEG C kinematic viscosity normalization value of the gear oil; acquiring and normalizing the acid value of the gear oil and the contents of iron, copper and phosphorus in the gear oil to obtain normalized values of the acid value, the content of the iron element, the content of the copper element and the content of the phosphorus element of the gear oil; performing weighted summation on the normalized values of the moisture of the gear oil, the kinematic viscosity of the gear oil at 40 DEG C, the acid value, the iron element content, the copper element content and the phosphorus element content to obtain a gear wear index; according to the gear wear index, judging whether the gear wear degree of the main gear box affects use and wear degree grades, and giving corresponding suggestions; the method has the advantages that the abrasion degree can be truly and reliably reflected, and stable and safe operation of the whole wind driven generator is guaranteed.

The application discloses a drive system fault analysis method and system based on motor current ripple, and relates to the field of electric bicycle drive state monitoring. The method comprises the following steps: collecting motor stator current signals, rotating speed, electric angle and environmental working condition parameters synchronously, removing noise interference by combining adaptive filtering technology, and extracting target ripple signals carrying load information; based on the physical parameters of the motor and the structure of the drive system, a dynamic coupling model is constructed to generate theoretical reference ripple signals under normal and multiple fault states; by comparing the measured ripple signals with the reference signals, system deviation information is obtained, and a composite fault feature vector is further extracted; finally, the feature vector is mapped to a fault mode library to accurately identify fault types such as gear wear, chain slack or bearing defects. Thus, through real-time analysis of the motor current ripple, the health monitoring capability of the electric bicycle drive system and the driving safety are effectively improved.

The utility model relates to the technical field of motors, and discloses a gear motor capable of slowing down gear wear, which comprises a mounting seat and a driving motor, a side cover is fixedly mounted on the left side of the mounting seat through a bolt piece, a sealing washer is arranged between the side cover and the mounting seat, and an inclined hole is formed inside the front end of the mounting seat. When the gear motor capable of slowing down gear wear is used, after the gear motor is closed, the arranged connector can be screwed out from the outside of the threaded opening at the front end of the mounting seat, and after the insertion strip is pulled out from the inside of the fixed seat, the remaining amount of oil in the mounting seat can be determined directly through the oil adhered to the insertion strip; and after oil liquid lacks, the oil liquid can be added in time through the fixed seat, so that the gear set can be conveniently lubricated, the abrasion of the gear assembly in the gear motor is slowed down, and the problem that no measures can be taken to slow down the abrasion of the gear assembly in the gear motor is solved.

The dynamic lubrication type cycloid speed reducer comprises a base, a supporting seat is fixedly installed in the middle of the upper surface of the base, a protective sleeve is arranged on the upper portion of the supporting seat, a speed reduction gear module is arranged in the protective sleeve, and a filtering assembly is installed at the position, located at one end of the protective sleeve, of the upper surface of the base. An oil pumping assembly is mounted at the other end of the protective sleeve on the upper surface of the base; the filtering assembly and the oil pumping assembly are both communicated with the protective sleeve. According to the dynamic lubrication type cycloid speed reducer, an innovative lubrication circulation system is combined with a multi-stage cycloid speed reduction structure, the transmission efficiency is remarkably improved, and the service life is remarkably prolonged. The lubricating device has the core advantages that a closed-loop lubricating system composed of the filtering assembly and the oil pumping assembly is adopted, lubricating oil continuously and circularly flows in the protective sleeve, impurities are effectively removed through multi-stage filtering of the filtering cotton, the liquid separation plate and the porous filtering material, the cleanliness of the lubricating oil is kept, and gear abrasion is greatly reduced.