49 results about "Rotor eccentricity" patented technology

The invention provides an equipment supervision data real-time analysis method and system, and the method comprises the steps: calculating an energy value of a frequency band corresponding to a sub-band signal, determining the energy characteristics of the surface roughness and dust deposition distribution uniformity of a blade in each sub-band in a square sum form, and generating energy distribution vectors which are arranged according to a frequency band sequence; performing time-frequency analysis on the vibration signal by using the acquired real-time rotating speed information of the gas turbine, identifying a frequency component corresponding to the eccentric distance value of the rotor and the vibration frequency offset, and determining the amplitude of the frequency component; according to the classification result and the real-time rotating speed information, the comprehensive influence index of the material density change rate and the ash deposition layer thickness difference is calculated, the fault early warning level is determined through a weighted average method, and an early warning signal is generated; and according to the change trend of the early warning signal and the blade edge wear degree, a random forest algorithm is adopted to predict a development curve of the vibration frequency offset in the future target time, and real-time equipment supervision analysis data are obtained.

The invention relates to the technical field of control and adjustment, in particular to a steam turbine fault diagnosis system based on multi-parameter fusion monitoring, which is characterized in that a quantum hybrid sensing module is used for establishing a picosecond-level space-time reference through entangled photon pair distribution, and unifying a time sequence label of multi-source heterogeneous data; the hypergraph feature extraction module loads the coefficient to a vibration measurement point vertex attribute channel, dynamically calculates a heat conduction hyperedge weight according to a rotor eccentricity inversion value, aggregates temperature field, vibration spectrum and magnetic domain features in a space-time hypergraph which retains physical topology, outputs a cross-scale aligned fusion feature tensor, and outputs a vibration measurement point vertex attribute channel; generating a diagnosis feature vector to drive a multi-scale twin experience certificate; and the federation decision module triggers a load reduction instruction according to the microscopic crack cloud picture to inhibit thermal stress sudden change, and meanwhile, the feature representation precision is improved through cloud federation optimization hyperedge weight parameters. According to the method, the problem of characterization distortion caused by time sequence asynchronization and scale mismatch of heat and machine coupling data is solved.

The invention discloses an electromagnetically-supported hybrid magnetic thrust bearing structure and a suspension force design method, and provides a hybrid magnetic bearing structure design in which radial alternate magnetization is adopted in the axial direction, a permanent magnet bearing formed by stacking multiple layers of magnetic rings bears all axial thrust loads, and radial electromagnetic bearings are assisted at the two ends to maintain dynamic stability of a rotor. The performance requirements of high bearing capacity, low power consumption, good active control capability and high dynamic stability of the hybrid magnetic thrust bearing in a limited space are met; in order to solve the problems that an inner magnetic ring and an outer magnetic ring are not strictly centered due to the influence of machining precision, an assembly process, rotor eccentricity and the like during actual operation of a permanent magnet thrust bearing, additional unbalance load, dynamic unbalance load and the like are generated in the radial direction. The electromagnetic supporting suspension force design method comprehensively considers the radial unbalance load of the permanent magnet thrust bearing, the dynamic unbalance load of the rotor and the self-weight influence, effective calculation of the suspension force of the supporting rotor is achieved, and important technical support is provided for the hybrid magnetic thrust bearing structure and suspension force design iteration.

The invention provides a rotor-bearing system fault diagnosis method and system based on virtual-real fusion, and relates to the technical field of signal detection, and the method comprises the steps: deducing a mixed eccentric unbalanced magnetic pull expression, and building a rotor-bearing system twinborn model in combination with a Hertz contact theory; introducing rotor eccentricity and bearing inner / outer ring faults, and constructing a multi-fault working condition twinborn model; performing multi-parameter identification on the model through an improved genetic algorithm (introducing a feature sensitivity evaluation factor, a self-adaptive crossover mutation probability and simulated annealing) to obtain a corrected twin model; generating a twin fault sample based on the correction model, and training by using a one-dimensional cyclic generative adversarial network (designing a comprehensive loss function) with a classifier to generate a sample close to real distribution; and virtual and real fusion samples form a balanced data set, and fault classification is realized through one-dimensional convolutional neural network training. According to the method, the problems of fault data shortage, large difference between a twin model and real data and the like are solved, and the fault diagnosis precision and reliability are improved.

The invention relates to the technical field of electric variable and magnetic variable measurement, in particular to a permanent magnet motor rotor eccentricity fault diagnosis method, which comprises the following steps: step 1, composition and working principle of detection equipment, the equipment comprises a bracket, a coil group, a magnetic ring, current detection equipment and an indicator light, the coil group is formed by winding a high-magnetic-permeability magnetic material, and the magnetic ring is formed by winding a high-magnetic-permeability magnetic material; the magnetic ring is mounted on an output shaft of the motor; 2, an equipment installation step; according to the scheme, the detection device comprising the support, the coil assembly, the magnetic ring, the current detection device and the indicator lamp is constructed, and the current change of the coil assembly is monitored based on the electromagnetic induction principle, so that high-precision and real-time diagnosis of the eccentricity fault of the permanent magnet motor rotor is realized. The method can accurately judge whether the rotor is eccentric or not, the eccentric degree and the eccentric angle, can timely give out early warning according to the diagnosis result, provides a maintenance decision basis, effectively guarantees safe and stable operation of the motor, and improves the system reliability.

The invention discloses a secondary wiring structure and wiring method of an industrial motor, and relates to the technical field of motor wiring, the secondary wiring structure comprises a base, a junction box, a wiring board, a transition copper bar, a first wiring terminal and a second wiring terminal; a stator iron core is fixedly arranged on the inner wall of the machine base, and winding coils are symmetrically arranged at the two ends of the stator iron core; an end cover is fixedly arranged at the side part of the base, the junction box is connected and fixed on the end cover, an opening is formed in the connecting position of the junction box and the end cover, the wiring board is fixedly arranged in the opening, and the inner end and the outer end of the wiring board are respectively arranged in the base and the junction box; according to the scheme, the short lead design is adopted, the situation that a long lead motor cannot be bent into the stator core after being assembled through high-temperature shrinkage fit is avoided, stator seam allowance turning can be smoothly completed, and deformation of an aluminum machine shell seam allowance is prevented; and meanwhile, the whole machine assembly positioning precision is guaranteed, rotor eccentricity is avoided, and therefore the risks of abnormal vibration, noise and chamber sweeping are reduced.

The invention discloses a digital twinning-based permanent magnet synchronous motor demagnetization and eccentricity fault diagnosis method and system, and relates to the field of motors. The problem that a traditional fault diagnosis algorithm is poor in precision is solved. The method comprises the following steps: S1, establishing a finite element model of demagnetization and eccentricity faults of the permanent magnet synchronous motor, and determining fault characteristics of the permanent magnet synchronous motor during demagnetization and eccentricity; s2, constructing a digital twinborn model based on a BP neural network, and training the digital twinborn model by using experimental data according to the fault features obtained in S1; s3, when the permanent magnet synchronous motor operates, experimental data collected in the controller are transmitted to an upper computer through CANFD; and S4, the upper computer receives the experimental data, calls the digital twinborn model to perform fault diagnosis, and visually displays the motor operation parameters and fault conditions. The method is also suitable for motor permanent magnet demagnetization fault and rotor eccentricity fault diagnosis, and is oriented to the fields of electric vehicles and the like with complex working conditions and high rotor reliability requirements.

A lateral–vertical dynamics coordinated control method for a distributed drive electric vehicle, and a related device. The lateral–vertical dynamics coordinated control method for a distributed drive electric vehicle comprises the following steps: creating a fourteen-degree-of-freedom full vehicle model which considers unbalanced magnetic force in an in-wheel motor, so as to accurately represent a state response of a vehicle under different inputs; a three-dimensional piecewise affine tire model performing piecewise linearization of a lateral force of a tire under different side slip angles and vertical loads, so that nonlinear features of the tire can be described under extreme operating conditions; creating an active front-wheel steering controller on the basis of hybrid model predictive control, obtaining a reference center of mass side slip angle and a yaw rate by means of a bicycle model, and then calculating an additional steering angle of the vehicle, thereby ensuring vehicle stability; and designing a multi-constraint input and multi-constraint output active suspension controller based on dual-model predictive control by using roll stability and ride comfort, that is, a tire dynamic load, a vehicle body acceleration, and an in-wheel motor stator-rotor eccentricity, as suspension design control targets.

The application discloses a construction method of a motor eccentric unbalance magnetic pull model and a compensation control system, adopts a six-tooth one-pole motor structure; first, a stator and rotor coordinate system of the six-tooth one-pole motor and a coordinate conversion relationship are established; the rotor eccentricity is regarded as a perturbation, a sub-domain equation and a boundary equation of a permanent magnet and an air gap are established; zero-order and first-order solutions of the air gap sub-domain and radial and tangential magnetic densities when the rotor is eccentric are obtained; according to a slotting modulation ratio, each required parameter of the six-tooth one-pole motor is calculated; the slotting modulation ratio is introduced into the radial and tangential magnetic density calculation when the rotor is eccentric for the first time, and the radial and tangential magnetic densities when the rotor is eccentric considering the slotting influence are reconstructed; according to a Maxwell stress tensor method, accurate values of the unbalance magnetic pull of the sheet motor considering the slotting influence are solved. The application makes up for the deficiency of a traditional unbalance magnetic pull mathematical model applied in the sheet motor, and improves the accuracy of the unbalance magnetic pull mathematical model.

The invention relates to the technical field of drilling equipment, and discloses a cluster hollow coring device based on a small-diameter motor, the cluster hollow coring device comprises a drill bit, a plurality of screw motors, a slurry pump, a plurality of cardan shafts, a reversing assembly and a transmission shaft, the plurality of screw motors are distributed around the axis of the drill bit at intervals; the slurry pump is communicated with all the screw motors and is used for conveying drilling fluid to all the screw motors; each universal shaft is connected with an output shaft of the corresponding screw motor; the reversing assembly is connected with all the universal shafts; the transmission shaft is connected with the drill and the reversing assembly. The reversing assembly is used for converting output power of the multiple screw motors into input power of the transmission shaft. A single large-diameter screw motor is replaced by a plurality of small-diameter screw motors, and the rotor core shift distance of the small-diameter screw motor is smaller, so that the core shift vibration generated during working is reduced, the wear degree of the rotor can be effectively reduced, the failure of a pressure chamber of the motor is avoided, and the service life is prolonged.

Eccentricity measuring system designed to be applied to a motor system comprising a stator and a rotor, and measuring an eccentricity of the rotor, wherein the eccentricity measuring system comprises: an eccentricity measuring element designed to detect the presence or absence of rotor eccentricity by measuring a change in the magnetic field generated between the rotor and the stator; and a sensor housing, comprising: a first surface in which the eccentricity measuring element is embedded, and a central hole through the center of the sensor housing, so that a rotating shaft of the rotor is fitted into the central hole, the first surface faces a distal end of the rotor.

The application provides a rotor eccentric fault diagnosis method and device based on MCU and a vehicle, and the method comprises the following steps: in response to a control instruction, a motor is controlled to operate at a constant rotating speed; a rotating speed signal of the motor is acquired through a position sensor; a rotating speed ripple is extracted according to the rotating speed signal of the motor; a rotating speed ripple amplitude is calculated based on the rotating speed ripple; a rotor eccentricity is acquired according to the rotating speed ripple amplitude; and a diagnosis result is obtained according to the rotor eccentricity. The method can solve the problem that the rotor eccentric fault diagnosis methods commonly used at present, such as current spectrum analysis and back electromotive force analysis, are difficult to apply to the new energy vehicle electric drive system of the embedded permanent magnet synchronous motor using a distributed winding, can effectively diagnose the rotor eccentric fault in real time, and can be directly applied in the vehicle system without additional offline calculation, and is more convenient and fast.

The invention discloses an equivalent magnetic network modeling method considering rotor eccentricity of a permanent magnet synchronous motor, which belongs to the field of equivalent magnetic network modeling and comprises the following steps of: obtaining a plurality of air gap ratio magnetic conductance through conformal transformation; converting a slotted air gap plane into a slotless air gap plane, and establishing air gap magnetic conductance of the slotless air gap plane by adopting a cross grid unit; correcting the air gap magnetic conductance of the slotless air gap plane by using the plural air gap ratio magnetic conductance to obtain the air gap magnetic conductance of the slotted air gap plane, and establishing an air gap motion model based on a local variable parameter motion modeling method according to the air gap magnetic conductance of the slotted air gap plane in combination with static eccentricity and dynamic eccentricity of the motor rotor; and according to the motion model of the air gap, analyzing the nodes of the motor magnetic network to obtain a motor magnetic network node algebraic equation set, and according to the motor magnetic network node algebraic equation set, obtaining a magnetic network model to complete motor magnetic network modeling. The method solves the problems that static eccentricity and dynamic eccentricity of a motor rotor are ignored in air gap motion modeling, and unbalanced magnetic pulling force precision is low.

This invention discloses a permanent magnet electromagnetic levitation steam turbine generator, relating to the field of generator sets. It includes a base plate, a generator set base, a stator block, stator coils, magnetic pole windings, and end shafts. The generator set base is fixedly mounted on the upper end of the base plate. The permanent magnet electromagnetic levitation steam turbine generator of this invention allows the rotor to be in a levitation state, completely avoiding the mechanical friction of traditional rotor bearing pressure structures. Once a displacement sensor detects a deviation, the position of the magnetic levitation structure can be finely adjusted by adjusting the screw or changing the current in the conductive coil, achieving overall dynamic adjustment of the magnetic levitation structure. This ensures that the rotor eccentricity meets power generation requirements. The threaded fit between the adjusting screw and the screw seat allows for independent adjustment of the local position of the support ring. The rotor magnetic partition and the levitation magnetic partition isolate the generator's magnetic field from the detection mechanism, preventing mutual interference. The cooperation between the anti-detachment rod and the anti-detachment sleeve provides temporary mechanical support in case of unexpected failure of the magnetic levitation system.

The invention discloses a stator winding of a double-layer integer slot permanent magnet motor, which comprises a plurality of coils arranged in stator slots, the number of motor poles of the stator winding is defined as m, the number of the stator slots is defined as N, the number of phases is defined as k, k is equal to 3, and N / (mk) is an integer, and is characterized in that the number c of the coils in each phase is equal to 2N / (mk), the coils in the same phase are equally divided into a first coil group and a second coil group, and the winding path of each coil is set according to a specific rule, and finally the structure of the whole stator winding is formed through mutual cooperation of the initial connection section and the corresponding compensation connection section. The stator winding structure has the advantages that four uniform flux density areas are formed in the whole circumferential range by changing the coil connection mode of a single branch in the stator winding of the original motor, and if the motor rotor is eccentric, the winding connection mode can effectively counteract the influence of rotor eccentricity when current is introduced.

This invention provides a rotor-bearing system fault diagnosis method and system based on virtual-real fusion, relating to the field of signal detection technology. The method comprises: deriving an expression for the magnetic pull of mixed eccentricity and imbalance, and establishing a rotor-bearing system twin model based on Hertzian contact theory; introducing rotor eccentricity and bearing inner / outer race faults to construct a twin model for multiple fault conditions; identifying multiple model parameters using an improved genetic algorithm (introducing feature sensitivity evaluation factors, adaptive crossover mutation probability, and simulated annealing) to obtain a modified twin model; generating twin fault samples based on the modified model, and training a one-dimensional cyclic generative adversarial network with a classifier (designed with a comprehensive loss function) to generate samples that closely resemble the true distribution; and finally, forming a balanced dataset from the virtual-real fusion samples, which is then trained using a one-dimensional convolutional neural network to achieve fault classification. This invention addresses the problems of insufficient fault data and significant discrepancies between the twin model and the real data, thereby improving the accuracy and reliability of fault diagnosis.

Eccentricity measuring system applied to a motor system comprising a stator and a rotor, and measuring the eccentricity of the rotor, wherein the eccentricity measuring system comprises: an eccentricity measuring element that measures the presence or absence of rotor eccentricity by measuring a change in the magnetic field generated between the rotor and the stator, wherein the eccentricity measuring element comprises one or more eccentricity measuring sensors; and a detection housing that includes: a surface in which the eccentricity measuring element is embedded; and a central hole formed by the center of the sensor housing, wherein a rotating shaft of the rotor is fitted into the central hole, wherein the eccentricity measuring element is coupled to a front surface of the sensing housing and comprises a sensing board arranged on a surface of the eccentricity measuring element, such that the one or more eccentricity measuring sensors are embedded in the sensing board, and wherein the one or more eccentricity measurement sensors comprise a sensing port extending in an axial direction and electrically connected to the sensing board.

The invention discloses a high-pressure compressor standard rotor eccentricity vector measurement method and system based on installation error compensation, belongs to the field of high-pressure compressor standard rotor eccentricity measurement, and solves the problem that a component centroid reference system and a rotary table measurement reference system cannot be completely consistent in high-pressure compressor standard rotor measurement. The method includes the steps that contour data of the lower end face and the upper end face of a component relative to a rotary table plane are collected, and inclination errors of the lower end face and the upper end face relative to the rotary table plane are obtained through fitting; obtaining the posture of the upper end face relative to the lower end face; establishing a geometric relation model of the height and the inclination amount of the part, calculating the eccentricity introduced by inclination of the lower end surface, and determining the perpendicularity and the perpendicularity phase of the lower end surface; and compensating an error between the centroid reference system and the rotary table measurement reference system according to the eccentricity introduced by inclination of the lower end face, the perpendicularity of the lower end face and the perpendicularity phase to obtain an eccentric vector measurement result. The method is suitable for the precision detection scene of the standard rotor of the high-pressure compressor of the aero-engine.

The invention relates to the technical field of generator set rotor eccentricity measurement, in particular to a generator set rotor eccentricity online measurement method and system, and the method comprises the steps: arranging two displacement sensors on an outer side section and a midspan monitoring section of a rotor bearing respectively to form a double-section measurement array; synchronously acquiring gap signals of the sensors and converting the gap signals into effective physical gap values; respectively resolving to obtain a common-mode motion coordinate at the bearing and an original comprehensive motion coordinate at the midspan; correcting the common-mode motion coordinate by using a shafting transfer function model established through system identification in advance, and predicting a transfer component of the common-mode motion coordinate in a midspan section; deducting the transmission component from the original comprehensive motion coordinate to obtain a pure rotor dynamic eccentricity coordinate; and finally synthesizing the total eccentricity and carrying out intelligent early warning. According to the invention, the high-precision online measurement of the eccentricity of the rotor is realized, the interference of common-mode motion such as shaft neck swing is effectively eliminated, and the measurement result is accurate and reliable.

The application discloses a self-powered detection sensor for identifying rotor eccentricity fault and a method, relates to the technical field of sensors, and discloses the sensor which comprises a sensor shell and a supporting seat arranged at the bottom of the sensor shell. The sensor shell can be sleeved on a rotor transmission shaft. A plurality of groups of copper film electrodes are coaxially arranged in the sensor shell in a ring shape and at equal intervals from outside to inside. A flywheel in a circular shape and capable of being arranged around the rotor transmission shaft is arranged in the sensor shell. A plurality of groups of dielectric layers equal in number to the copper film electrodes are arranged on the flywheel and capable of being in contact with the copper film electrodes. The sensor for identifying the rotor eccentricity fault is simple in structure, convenient to install, low in cost, and does not need external power supply, is favorable for large-scale application, can simultaneously detect and identify the eccentricity degree and the eccentricity direction, is high in identification precision, and has a wide application range.

Eccentricity measuring system applied to a motor system comprising a stator and a rotor, and measuring the eccentricity of the rotor, wherein the eccentricity measuring system comprises: an eccentricity measuring sensor adapted to a pole shoe of the stator and designed to measure the presence or absence of rotor eccentricity by measuring a change in the magnetic field generated between the rotor and the stator; a first detection connection which is formed integrally with a connection arrangement of the stator and is designed to transmit detection information from the eccentricity measuring sensor to the outside; a second sensing port having a surface adjacent to an axial distal end face of the stator, wherein the second sensing port is configured to transmit sensing information from the eccentricity measuring sensor to the first sensing port; and a connecting substrate designed to electrically connect the first detection port and the second detection port.

The application belongs to the field of quantitative characterization of eccentric fault of rotating machinery, and particularly relates to a method for constructing a motor rotor eccentric quantitative characterization model and application thereof, comprising: establishing a motor mathematical model, generating motor data under different motor eccentricities, and obtaining a model labeled sample set; sampling to construct an actual unlabeled sample set of an actual motor; training an approximate characterization model on the labeled sample set; and performing adversarial training on the approximate characterization model and a data discriminator using the unlabeled sample set and motor data corresponding to the model characterization of the motor in a normal state in the labeled sample set to correct the approximate characterization model; wherein, when constructing a static eccentric quantitative characterization model, the motor data is the back-EMF fundamental wave amplitude of each phase winding, and when constructing a dynamic eccentric quantitative characterization model, the motor data is the back-EMF harmonic amplitude of each phase winding. The method can realize quantitative characterization of motor rotor eccentricity by using a neural network even when there is no data under eccentric fault conditions.

The invention discloses a thermally-induced rigidity-variable high-performance mounting bracket and a control method thereof, relates to the technical field of vibration reduction equipment, and aims to solve the technical problem that an existing vehicle-mounted motor vibration reduction bracket cannot be adaptively adjusted along with temperature change. Through the TiNiNb shape memory alloy pull column, temperature self-adaption rigidity switching, low-temperature rigidity fixing impact resistance and normal-high-temperature flexible vibration reduction are achieved, and vibration characteristics of different temperature ranges of the motor are adapted; the vibration buffering gasket is matched with the air damping mechanism to form double vibration reduction, and the high-frequency broadband vibration attenuation effect is greatly improved through the triple damping effect; the ventilation air bag realizes forced air circulation by means of motor vibration, vibration reduction heat is quickly discharged, and high-temperature vibration reduction stability is guaranteed; the vibration wave mechanism is matched with the one-way shaft ring, vibration is converted into reverse rotation force of the radial vibration buffering ring, eccentric radial vibration force of the rotor is counteracted from the source, and accurate radial vibration reduction is achieved.

The present application relates to the technical field of generator set rotor eccentricity measurement, in particular to a kind of generator set rotor eccentricity online measurement method and system, two displacement sensors are respectively arranged in the cross section of the outside of rotor bearing and the cross section of across, to form double cross section measurement array;Synchronously collect the gap signal of each sensor and convert into effective physical gap value;Respectively solve to obtain the common mode motion coordinates of bearing and the original comprehensive motion coordinates of across;Using the shafting transfer function model established by system identification in advance, the common mode motion coordinates are corrected, and the transfer component in the cross section of across is predicted;Subtract the transfer component from the original comprehensive motion coordinates, obtain the pure rotor dynamic eccentricity coordinates;Finally, the total eccentricity is synthesized and intelligent early warning is carried out.The present application realizes the high-precision online measurement of rotor eccentricity, effectively eliminates the interference of shaft neck wobble and other common mode motion, and the measurement result is accurate and reliable.

The present invention provides a motor rotor and a magnetic levitation motor. The motor rotor includes a rotating shaft, the rotating shaft has a hollow cylindrical section, an outer peripheral side of the cylindrical wall of the hollow cylindrical section is interference-fitted with a sheath, a magnetic steel is interference-connected to an inner side of the cylindrical wall of the hollow cylindrical section, and a first cooling pipeline is provided between the sheath and the cylindrical wall of the hollow cylindrical section. According to the present invention, the temperature rise of the sheath is effectively reduced, thereby reducing the deformation of the sheath, rotor eccentricity, and vibration; at the same time, by adopting a double interference fit method, the stress of the sheath is dispersed onto the rotating shaft, which can effectively reduce the equivalent stress of the sheath and also effectively reduce the deformation degree of the sheath, reduce the abnormal vibration caused by rotor eccentricity, and improve the suspension accuracy and stability of the motor rotor.

This utility model relates to the field of automotive starter motor housing technology, and more particularly to an automotive starter motor housing with a shock-resistant structure. It includes a base and a fixed housing, with the fixed housing fixedly connected to the base. The housing also includes a damping rubber layer, an annular honeycomb mounting bracket, a starter motor, a motor end cap, and fixing bolts. The fixed housing is filled with a damping rubber layer, and the annular honeycomb mounting bracket is disposed inside the damping rubber layer. The starter motor is installed inside the annular honeycomb mounting bracket. When vibrations generated by the engine are transmitted to the starter motor, the annular honeycomb mounting bracket compresses the damping rubber layer, which converts the mechanical energy of the vibration into heat energy for dissipation. This prevents problems such as brush wear and rotor eccentricity caused by high-frequency vibrations in the engine compartment. When the vehicle travels over rough roads, the floor plate compresses the damping shock absorber, causing it to compress and deform, thus isolating and protecting the starter motor and preventing damage to the connection between the starter motor and the vehicle frame when the vehicle travels over rough roads.

The invention relates to the technical field of fault diagnosis, and particularly discloses a rotor eccentricity fault detection method and system based on inductance symmetry analysis, and the method comprises the steps: obtaining motor winding structure parameters; mapping to obtain a three-phase inductance initial value under the star-shaped equivalent model; reconstructing the instantaneous equivalent inductance of the three-phase winding; constructing an inductance symmetry deviation factor based on the three-phase reconstruction inductance value; rotor eccentricity type recognition is executed based on the eccentricity judgment template; and outputting an eccentric identification result. In the prior art, winding structure differences are ignored, and eccentric characteristics are extracted directly based on current and voltage waveforms, and the technical problem that cross-model motors under different topological structures are difficult to use in a scene facing star-shaped, triangular or multi-layer lap winding structures is solved. According to the method, the inductance equivalent transformation model for different winding topologies is constructed, and the inductance symmetry deviation factor and the eccentric template matching identification mechanism are combined, so that the universality of eccentric fault detection is improved.

The embodiment of the invention discloses a bearing-free doubly salient motor suspension force analysis and compensation control method for an eccentric working condition, relates to the field of motor control, and can improve system stability and suspension performance. The method comprises the steps of obtaining a motor suspension force analytical model considering rotor eccentricity based on motor inductance characteristics, constructing a double-loop suspension control system comprising the motor suspension force analytical model on the basis, and improving the stability and suspension performance of the system by adopting a feedforward control strategy. The problems of low suspension precision, poor anti-disturbance capability and the like caused by model idealization and compensation deficiency in a traditional method are solved, so that the stability and the suspension performance of a system are improved.

The invention provides a brushless motor torque real-time analysis method, which comprises the following steps: scanning each position of a stator and a rotor of a brushless motor, and acquiring the air gap length, the unilateral magnetic pull distribution and the torque fluctuation amplitude of each position to obtain the real-time air gap non-uniformity degree and the magnetic field distortion degree; according to the obtained real-time air gap non-uniformity degree and the magnetic field distortion degree, rotor eccentricity influence is classified and recognized, and the eccentricity compensation amount of each position is obtained through evaluation; analyzing the obtained eccentric compensation amount of each position, identifying a torque fluctuation amplitude, and filtering to obtain a filtered torque signal; according to the filtered torque signal, dynamically compensating and adjusting the air gap length and the unilateral magnetic pulling force distribution of each position to obtain the adjusted magnetic field action intensity distribution; and performing correction mapping on non-uniform magnetic pulling force caused by non-uniform air gap distribution through the adjusted magnetic field action intensity distribution to obtain correction magnetic pulling force of each position.

Eccentricity measuring system applied to a motor system comprising a stator and a rotor, and measuring the eccentricity of the rotor, wherein the eccentricity measuring system comprises: an eccentricity measuring sensor adapted to a pole shoe of the stator and designed to measure the presence or absence of rotor eccentricity by measuring a change in the magnetic field generated between the rotor and the stator; a data acquisition port configured to transmit data acquisition information from the eccentricity measurement sensor to an external device; and a connecting substrate designed to electrically connect the sensing port and the eccentricity measurement sensor.