86 results about "GENERATOR MALFUNCTION" patented technology

The invention discloses a low sample hydro-generator fault diagnosis method based on transfer learning. The method comprises the following steps: collecting a current signal, a vibration signal, a temperature signal and a voiceprint signal; executing preprocessing; performing label labeling, and dividing the data into a source domain data set and a target domain data set; operating parameters of the hydro-generator are collected, processed and combined into working condition feature vectors; training a source domain base model on the source domain data set to generate a pre-training parameter set; establishing a physical constraint module, and binding the physical constraint module with the parameter updating process of the source domain base model; initializing a transfer learning model, and calling a physical constraint module to apply constraint to generate a physically constrained transfer learning model; performing increment fine adjustment; and outputting a diagnosis result vector through the transfer learning model after increment fine tuning. According to the method, transfer learning and physical constraints are combined, hydro-generator fault diagnosis is optimized through increment fine tuning, and the method has the advantages of high precision, small sample adaptability and physical consistency verification.

The invention provides a wind driven generator fault monitoring system, and relates to the technical field of wind driven generator fault monitoring. The wind driven generator fault monitoring system comprises a sensor deployment module and a warning alarm unit, and the sensor deployment module is composed of a vibration and strain sensor, a displacement and torque sensor, a pressure and temperature sensor, a magnetic field and oil temperature sensor and a plurality of sensor nodes. The plurality of sensor deployment modules are respectively and uniformly distributed on each wind generating set, each sensor deployment module acquires data information in a detection process in real time, and judges whether an alarm threshold value is out of limit according to a set alarm threshold value corresponding to each characteristic parameter. Through combination of a sensor deployment module, regular collection and detection of a lubricating oil sample and inspection of equipment such as an unmanned aerial vehicle, real-time monitoring is carried out on the wind generating set more comprehensively and meticulously, potential faults are found in time and analyzed and processed, and corresponding schemes can be customized conveniently for maintenance and replacement.

The invention provides a generator fault diagnosis method based on a carbon brush wear signal, and belongs to the technical field of motor fault diagnosis, and the method comprises the steps: 1, deploying a preset sensor group at a key position of a carbon brush, collecting the related data of the carbon brush, and installing a preset monitoring system in a power collection chamber of a generator, data related to operation of the carbon powder and the generator are collected; 2, processing the collected related data of the carbon brush, and extracting key features of a preset type; 3, determining the wear coefficient of the carbon brush based on the extracted key features; 4, determining the risk coefficient of the generator based on the wear coefficient of the carbon brush, the carbon powder and the related data of the generator operation; and 5, performing multi-level early warning based on the risk coefficient of the generator, and performing corresponding early warning processing measures. The accuracy of fault diagnosis and the timeliness of early warning are improved, and potential faults are effectively prevented.

The invention discloses an outer rotor permanent magnet generator stator turn-to-turn short circuit fault identification method, and belongs to the technical field of generator fault identification, and the method comprises the following steps: S1, measuring an outer rotor permanent magnet generator torque signal through a detection unit; and S2, performing signal processing on the torque signal to determine a turn-to-turn short circuit fault of the outer rotor permanent magnet generator. The outer rotor permanent magnet generator stator turn-to-turn short circuit fault identification method is simple in operation and high in identification precision, and the generator stator turn-to-turn short circuit fault identification efficiency and identification precision are improved.

A generator fault identification method, device, product and medium relate to the technical field of generator fault category identification. The method comprises the following steps: acquiring a vibration signal and a noise signal; performing multi-mode decomposition processing on the vibration signal and the noise signal to obtain a first sub-mode component and a second sub-mode component; determining a vibration signal sequence based on each first sub-mode component and the vibration signal; determining a noise signal sequence based on each second sub-mode component and the noise signal; determining a vibration characteristic matrix based on the vibration signal sequence; determining a noise feature matrix based on the noise signal sequence; determining a first recognition result and a first confidence coefficient based on the vibration feature matrix; determining a second recognition result and a second confidence coefficient based on the noise feature matrix; when the identification results are inconsistent, determining a fault identification result according to the confidence coefficient; and when the identification results are consistent, determining the first identification result as a fault identification result. The method is advantaged in that generator fault identification accuracy is improved.

The invention discloses a steam turbine generator stator end vibration-based fault diagnosis method, which comprises the steps of taking images generated by different vibration signal conversion methods as input, extracting features by using VGG-GAM and classifying the features, thereby realizing accurate fault diagnosis, solving the problem that generator fault diagnosis depends too much on experience of operators, and improving the fault diagnosis accuracy. A reliable decision basis is provided for fault maintenance of the generator, and the reliability and the accuracy of information acquisition are improved.

The invention discloses a multi-machine common-bus system grounding fault arc extinction and property identification method based on machine end voltage regulation and control. The method comprises the following steps: S1, machine end arc extinction; s2, low-frequency injection; s3, low-frequency component measurement; s4, grounding transition resistance calculation: through the low-frequency components of the terminal voltage and the current of each generator at the first moment, calculating the ground impedance Zi1 during a grounding fault; calculating the ground impedance Zi2 after the fault is stable through the low-frequency components of the terminal voltage and the current at the second moment; calculating the grounding transition resistance Rgi of each generator when any generator fails by integrating the Zi1 and the Zi2; s5, fault identification: if Rgi is greater than or equal to a set threshold value, identifying the fault as an instantaneous fault, and if Rgi is less than the set threshold value, identifying the fault as a permanent fault; if a generator is identified as a permanent fault, the generator can be identified as a fault unit. According to the method, the problem of poor economical efficiency of existing fault arc extinction and fault identification in a multi-machine common-mother system can be solved.

The invention provides a permanent magnet generator fault monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of motor fault detection, and the method comprises the steps: obtaining the historical operation data of a target permanent magnet generator; according to the historical operation data, establishing a motor model of the target permanent magnet generator in each working condition state; determining time domain features and frequency domain features of the target permanent magnet generator in each working condition state based on the motor model; and performing fault monitoring on the target permanent magnet generator based on the time domain feature and the frequency domain feature. Therefore, compared with the prior art that data acquisition is carried out through installation of a sensor, high-frequency voltage is injected through an inverter, then corresponding high-frequency inductance is calculated, and then identification analysis of specific harmonic waves is completed, the scheme in the invention can realize continuous monitoring and diagnosis, fault occurrence can be effectively prevented, and the fault diagnosis accuracy is improved. The dependence on sensors and monitoring conditions is small, and the operation efficiency and economic benefits of the whole wind power plant can be remarkably improved.

The invention belongs to the technical field of nuclear power, and particularly relates to a steam turbine generator fault diagnosis method, system and device. The steam turbine generator fault diagnosis method provided by the invention can realize fusion of the shaft voltage and vibration information of the steam turbine equipment, improves the comprehensiveness and accuracy of fault diagnosis of the steam turbine equipment, has important practical and economic values, can improve the safe and stable operation level of the generator, and is suitable for popularization and application. And more effective technical support is provided for operation and maintenance of a power system.

The invention provides a wind driven generator fault diagnosis method, device and equipment and a storage medium, and relates to the technical field of intelligent operation and maintenance of wind power generation equipment. The method comprises the following steps: constructing a thermal network model of the wind driven generator, and obtaining a transient heat transfer equation and a first thermal conductance matrix and a first heat source intensity vector of the wind driven generator in a healthy state based on the thermal network model; according to the first thermal conductance matrix, the first heat source intensity vector and the current temperature of each temperature measurement point of the wind driven generator, performing inversion based on a transient heat transfer equation to obtain a second thermal conductance matrix and a second heat source intensity vector; obtaining a first fault feature matrix according to the second thermal conductivity matrix and the first thermal conductivity matrix, and obtaining a second fault feature matrix according to the second heat source intensity vector and the first heat source intensity vector; and obtaining a fault diagnosis result of the wind driven generator according to the first fault feature matrix, the second fault feature matrix and a preset fault diagnosis model. According to the invention, high-precision fault diagnosis of the wind driven generator can be realized.

The utility model discloses a fault detection device for a speed regulation system of a nuclear power emergency diesel generating set, which relates to the field of generator fault detection and is characterized in that the output end of a to-be-detected electronic speed regulator is electrically connected with the input end of a to-be-detected mechanical actuator, and the to-be-detected mechanical actuator is mechanically connected with an actuator output dial; the signal output end of the frequency converter is electrically connected with a controller of the motor, the output end of the rotating speed sensor is electrically connected with the input end of the to-be-tested electronic speed regulator, the oscilloscope is electrically connected with the output end of the to-be-tested electronic speed regulator, the power source is used for supplying power, and the rotating speed sensor is used for collecting the rotating speed of the motor. The frequency converter and the motor are used for simulating the running state of the generator set, the motor rotating speed collected by the rotating speed sensor is input into the to-be-tested electronic speed regulator, the oscilloscope is used for monitoring the output signal of the to-be-tested electronic speed regulator, and the actuator output dial is used for collecting the output result of the to-be-tested mechanical actuator. And fault detection of the speed regulation system is realized.

This invention relates to a microwave combustion exhaust gas treatment device, comprising: an ignition tube, a combustion tube, a resonant housing, and a microwave generator. The microwave generator is fixedly connected to and communicates with the resonant housing, the resonant housing is fixedly connected to and communicates with the ignition tube, and the lower part of the ignition tube is fixedly connected to and communicates with the combustion tube. When treating small-flow exhaust gas, this invention allows the microwave generator to be used alone, saving energy and reducing costs. When treating larger-flow exhaust gas, the combined microwave and combustion treatment provides greater processing capacity, and the energy consumption and cost of combined treatment are lower than using natural gas combustion alone, thus reducing the energy consumption and cost of exhaust gas treatment. When the microwave generator malfunctions or other external microwave malfunctions occur, the exhaust gas flow into the ignition tube and combustion tube increases. By increasing the amount of natural gas and air, the emergency exhaust gas treatment capacity is improved, preventing the exhaust gas from being untreated and causing harmful components to exceed emission standards.

The present application belongs to the field of aviation power generation system design, and relates to a permanent magnet generator fault detection device. The device includes a short-circuit detection module to the ground, which is used to connect the ripple signal after rectification and voltage division of the three-phase permanent magnet generator to the CPU component through the Zener diode V9; an open circuit and phase-to-phase short circuit detection module, which is used to sample the voltage of each two signals of the three-phase permanent magnet generator and send them to the CPU component; the CPU component is configured to: when a high-level signal is connected through the Zener diode V9, it is determined that the three-phase permanent magnet generator is short-circuited to the ground; when any two DC voltage signals change from high level to low level, it is determined that the phases simultaneously associated with the two DC voltage signals are open; when one DC voltage signal is low level and the levels of the other two DC voltage signals are reduced, it is determined that the two phases corresponding to the low level are short-circuited. The present application can effectively identify various fault types of permanent magnet generators and improve the safety of aviation power generation systems.

The invention relates to the technical field of nuclear power plants, in particular to a fault monitoring method and system for an emergency diesel generator, electronic equipment and a medium. Equipment health state parameters, equipment operation condition parameters and equipment operation environment parameters need to be monitored in real time firstly; performing fault threshold analysis based on the equipment health state parameters, the equipment operation condition parameters and the equipment operation environment parameters, and determining a generator fault threshold; carrying out measuring point signal acquisition on the emergency diesel generator to obtain an equipment measuring point acquisition signal; performing signal analysis on the equipment measuring point acquisition signal based on the generator fault threshold to obtain a signal analysis result; and if the signal analysis result meets a preset fault judgment condition, executing a fault response operation. The core of the method is that an alarm threshold value is converted from a fixed value to a variable dynamically adjusted along with the equipment state, the operation condition and the environmental factor, so that the accuracy and the reliability of fault early warning are remarkably improved.

The invention provides a vehicle generator fault detection method, electronic equipment and a storage medium. The method comprises the steps that multiple types of operation state signals of a vehicle are obtained, wherein the multiple types of operation state signals at least comprise a first type of operation state signals with data missing and a second type of operation state signals with complete data; based on correlation analysis on the multiple types of operation state signals, determining correlation types among the multiple types of operation state signals; based on the second type of operation state signals, performing interpolation processing on the first type of operation state signals by using a model corresponding to the correlation type to obtain update state signals corresponding to the multiple types of operation state signals; and determining a fault detection result of the generator according to the working state of the generator in the vehicle under the condition that the update state signal meets the fault judgment condition. By means of the method, missing data in the vehicle state signal can be accurately determined, and therefore fault detection can be accurately conducted on the vehicle generator.

The invention relates to the technical field of generator fault prediction, in particular to an extreme weather power generation equipment fault prediction method based on a time sequence large model, and the method comprises the steps: synchronously collecting multiple parameters; judging an abnormal event; identifying trend types; risk level assessment; adjusting a dynamic threshold value; and risk sequence prediction and early warning. A plurality of parameters which are closely related to structural load, electrical disturbance and thermal-lubrication states are introduced through the three-axis vibration peak value in the middle of a blade, the oil viscosity of a gearbox, the current harmonic wave of a stator, the starting torque increment of a yaw system, the wind speed change rate of the top of a cabin and the temperature rise rate of a main shaft bearing; full-chain monitoring of the operation state of the wind turbine generator in the strong wind extreme weather is achieved, and the problems that due to incomplete monitoring parameter coverage and fixed threshold value setting, lubrication abnormity trend recognition lags behind in the extreme weather, fault early warning is not timely, and the unit shutdown loss is aggravated are effectively solved.

The invention belongs to the technical field of generator fault detection, and particularly discloses a generator anomaly detection method and system, and the method comprises the following steps: collecting the operation parameters of a generator and the parameters of the environment where the generator is located, fusing the characteristics of different modes, and obtaining the fault detection result of a single generator; performing cross-equipment cooperative detection to obtain operation parameters of the plurality of generators and environmental parameters of the plurality of generators, and modeling working parameter data and mutual influence among the plurality of generators; extracting shared fault mode features from the data of different generators to perform cross-device joint modeling to obtain a detection result of each generator; and synthesizing the detection result of the single cross-modal generator and the detection results of all cross-equipment generators to obtain a final detection result. By adopting the technical scheme, on the basis of cross-modal feature fusion and cross-device cooperative detection, comprehensive analysis is performed from multiple dimensions, and the accuracy and response speed of fault detection are improved.

The invention discloses a semi-direct-drive driving structure and method for a marine generator, and relates to the technical field of marine generators. The expansion sleeve connecting flange is used for being fixedly connected with a transmission main shaft of a ship main engine; the sectional type main transmission gear and the expansion sleeve connecting flange are mounted and locked; the shaft extension end of the generator is connected with the coupler; the end, away from the generator, of the coupler is connected with the coupler, and the coupler is used for achieving signal transmission and isolation and can disconnect power connection when the generator breaks down. One end of the coupler away from the coupling is connected with the pinion; the small gear is meshed with the sectional type main transmission gear in a tooth contact mode so that power can be transmitted from the sectional type main transmission gear to the coupler. All the parts are designed in a separated mode, when the whole machine is damaged or needs to be maintained, all the parts can be rapidly disassembled, the whole structure does not need to be disassembled on a large scale, fault parts can be independently replaced, manpower and material resource cost is greatly saved, and operation and maintenance efficiency is remarkably improved.

A data analysis system comprises an artificial intelligence of the machine learning type. The data analysis system collects reference data relating to measurements made and recorded during previous flights of aircraft. A training of the artificial intelligence of the machine learning type is implemented by virtue of reference data, with a first classification run for training to detect potential malfunctions suffered by integrated drive generators and a second classification run for training to determine causes of the malfunctions, where relevant. After using in production, the data analysis system collects data to be analyzed relating to measurements made and recorded during flights of the aircraft comprising an integrated drive generator to be monitored, and uses the artificial intelligence of the machine learning type to predict a potential malfunction and, where relevant, predict its cause using data to be analyzed.

The application discloses an online fault diagnosis method for a hydro-generator based on a potential interval distance of a through screw, relates to the technical field of generators, and is suitable for detecting a stator winding ground fault. Voltage collection devices are additionally arranged on a plurality of through screws of the hydro-generator, real-time induced potential is acquired, a historical data matrix is established, and a data buffer matrix is updated at interval time; the data buffer matrix is divided into a data evaluation matrix, a fundamental wave and an odd harmonic phase are extracted through Fourier decomposition, a harmonic phase matrix is constructed, a phase difference matrix is obtained by calculating normalized phase differences of adjacent columns, a quartile distance is solved after being converted into a column vector array, a dynamic quartile distance array is formed, abnormal limit values are determined by combining a box plot principle and an error level of the voltage collection device, and faults are determined by traversing the array. The method does not need additional sensing devices and traditional threshold setting, is convenient to operate, has low implementation difficulty, and can accurately and timely identify faults.

The invention discloses a hydro-generator rotor winding turn-to-turn short circuit on-line detection signal processing method, which relates to the technical field of synchronous generator fault diagnosis and comprises the following steps of: A, acquiring an induced voltage of a measuring coil; b, preprocessing the acquired induced voltage; c, determining a corresponding relation between the pulse voltage and the magnetic pole in a rotation period by using the phase discrimination signal; d, extracting the extreme value of the pulse voltage waveform corresponding to each magnetic pole; e, the fundamental wave amplitude A1 of the current waveform and the fundamental wave amplitude A0 of the historical waveform when the turn-to-turn short circuit does not occur are obtained through Fourier transform, and the current induced voltage pulse extreme value array is multiplied by A0 / A1; f, if the absolute value of a certain extreme value in the adjusted current extreme value array is smaller than the absolute value of the numerical value corresponding to the historical extreme value array, and the difference between the absolute value of the historical extreme value and the absolute value of the current extreme value exceeds a set threshold value, it is judged that the turn-to-turn short circuit fault occurs in the magnetic pole winding corresponding to the extreme value. The method is good in anti-interference performance and high in diagnosis sensitivity.

The present invention belongs to the technical field of commutator processing, and specifically is a turning device for finishing the surface of a commutator, comprising a workbench, an adjusting plate is rotatably provided on one side of the upper end surface of the workbench, a rotating seat is rotatably provided in the middle of the upper end surface of the adjusting plate, a slide block is fixedly connected to the left end of the second slide rod, a turning tool is slidably connected to the inner side of the slide block, and a stacking correction type cleaning mechanism for clearing debris in the commutator segment gap of the commutator is also provided on the workbench. The present invention realizes the use of a stacking correction type cleaning mechanism to comprehensively clean the debris in the commutator segment gap, avoiding the situation where the flatness of the commutator surface is affected due to debris remaining in the commutator segment gap, and then the motor performance is reduced, or even the commutator segments are short-circuited, causing motor failure.

The utility model provides a thermal tripping structure of an aero-generator. The thermal tripping structure comprises an input shaft connected with a generator and a power source; the end part of the input shaft is in transmission connection with the front end of the disengagement assembly in a disengagement manner through an end surface transmission structure, the disengagement assembly is sleeved in the hollow shaft, the disengagement assembly and the hollow shaft are in transmission through a spline transmission structure, and the hollow shaft is sleeved in a generator rotor structure; the rear end of the disengaging assembly is connected into a lubricating oil way. A disengaging spring is arranged in the disengaging assembly and used for abutting against the end face transmission structure to complete transmission. When the internal temperature of the oil-cooled generator is too high, the spring is triggered to act, so that the transmission shaft is separated from the input shaft, the generator is mechanically separated from the power source, the generator can be protected from being burnt out due to faults, and the power source can be protected from being damaged due to the faults of the generator.

The invention discloses a generator fault detection method and system based on a photoelectric encoder, and relates to the technical field of generator detection, the method obtains the initial reason of generator vibration from the source through the photoelectric encoder, intercepts all single-period sinusoidal signals and carries out unified processing at the same time, and the method considers that under the condition of slight influence, the single-period sinusoidal signals are subjected to single-period sinusoidal signal processing. The optical-electricity encoder may have the phenomenon of missing detection or drifting due to slight influence of environmental interference, electrical factors and the like, the purpose of calibrating signal data in batches at the same time is achieved by removing outliers from all coordinate points based on the same abscissa, and the signal data of the same waveform serve as contrast reference. The method reduces the misjudgment probability, achieves the prediction function of signal data through the machine learning machine, enables the generator to be predicted when the generator does not generate substantial mechanical damage, and further guarantees that the service life of the generator is not affected.

To be ready for early generation in a case where a motor-generator being required to generate becomes inoperable.SOLUTION: A control apparatus is for use in a vehicle 1 that includes: an engine 2; a motor-generator 5 for use in starting the engine 2 and assisting power of the engine 2; an auxiliary-machine battery 8 for storing power generated by the motor-generator 5; and a control part for controlling the motor-generator 5. In a case where the motor-generator 5 being required to generate becomes inoperable, the control part is restarted if there is no history of restarting the control part, with no detection of information indicating that the motor-generator 5 is failed.SELECTED DRAWING: Figure 1

The invention discloses a generator fault detection method, a generator fault detection device, a medium and equipment, and relates to the field of power equipment. The accuracy of power equipment fault detection can be improved. The generator fault detection method comprises the following steps: acquiring fault data of different data sources of a generator; extracting a first feature of the fault data through a self-variational self-encoding network; generating an initial weight of each first feature, and optimizing the initial weight based on a simulated annealing algorithm to obtain a target weight; fusing the first features through the target weight to obtain a second feature; and inputting the second feature into a classification model to obtain the fault type of the generator.

The invention discloses a generator rotor winding turn-to-turn short circuit fault judgment method and system, and relates to the technical field of generator fault detection. Calculating a real-time excitation current theoretical value by considering the saturation characteristic of the generator based on the operation parameters; the excitation current deviation ratio is calculated through the real-time excitation current theoretical value and the current excitation current actual value; and judging the running state of the generator rotor according to the excitation current deviation ratio. According to the generator rotor winding turn-to-turn short-circuit fault judgment method provided by the invention, on the basis of not damaging the original structure of the generator, the generator rotor winding turn-to-turn short-circuit fault judgment is carried out after the generator saturation state correction by collecting the operation parameters of the generator in the existing system; the method can be carried out in a non-stop state of the generator, normal operation of the generator is not affected, and the calculation precision of online measurement when the generator operates in a saturation state is improved.

The invention discloses a steam turbine generator state detection method based on a vibration signal and a related device, and relates to the technical field of generator fault detection, and the method comprises the following steps: collecting vibration information data of a steam turbine generator, and carrying out the preprocessing; performing insulation fatigue calculation according to the preprocessed vibration information data to obtain an insulation fatigue coefficient; and performing grading evaluation on the state of the steam turbine generator according to the insulation fatigue coefficient to obtain a state detection result. The problem that in the prior art, measurement needs to be carried out under shutdown or specific stable working conditions, and continuous online monitoring is difficult to achieve can be solved.

The invention relates to the technical field of steam turbine generator fault diagnosis, is suitable for steam turbine generator shaft voltage data denoising and internal fault diagnosis under complex background conditions, and provides a steam turbine generator shaft voltage data denoising and fault diagnosis system and method. The measuring module is used for measuring shaft voltage data of a to-be-measured steam turbine The steam turbine generator shaft voltage data denoising module is used for removing the influence of background interference on a shaft voltage measurement result; the steam turbine generator shaft voltage waveform database is used for providing original data for training the generator state recognition model; the deep learning module is used for training a model meeting the recognition performance by using the database data; and the steam turbine generator fault diagnosis module is used for diagnosing a fault according to the input shaft voltage waveform. According to the method, shaft voltage data de-noising and internal fault diagnosis of the steam turbine generator under a complex background condition can be realized.

The invention relates to a power plant security power supply system. The system comprises a generator power supply bus, a generator security power supply bus, a generator security standby power supply bus, a generator security power supply inlet wire switch, a generator security standby power supply inlet wire switch, a third power supply inlet wire switch and a security power supply switch switching control circuit. The security power supply switch switching control circuit is respectively connected with the generator security power supply incoming line switch, the generator security standby power supply incoming line switch and the third power supply incoming line switch, and is used for switching the generator security standby power supply incoming line switch to the third power supply incoming line switch when the generator fails. And controlling the generator security power supply incoming line switch, the generator security standby power supply incoming line switch and the third power supply incoming line switch to act according to a set time sequence. Safe switching of the power supply of the generator security power supply bus can be realized, so that the reliability of the generator security power supply is improved, and safe and stable operation of a unit is ensured.