1157results about "Linear/angular speed measurement" patented technology

The invention provides an unmanned aerial vehicle motor rotating speed control method based on active disturbance rejection. The method comprises the following steps: 1) measuring the rotating speed of a motor by adopting a high-precision rotating speed sensor based on a quantum effect; 2) designing a tracking differentiator TD to smooth an expected rotating speed, and outputting a rotating speed tracking signal and a rotating speed tracking signal change rate; 3) introducing a dynamic weight matrix to form a dynamic weight expansion state observer DWESO, and taking an output state variable estimation value and a total disturbance estimation value as the input of the NLSEF; 4) automatically searching the optimal combination of the gain parameters of the DWESO by adopting an ALA (artificial Louver Mouse Algorithm), so that the optimal state variable estimation value and the optimal total disturbance estimation value are output to the NLSEF; compared with the prior art, the method for controlling the rotating speed of the unmanned aerial vehicle has the advantages that the dynamic response speed, the anti-jamming capability and the parameter adaptability of the system are remarkably improved, and the flight performance and the robustness of the unmanned aerial vehicle are improved.

The invention discloses a low-altitude target sensing method, a low-altitude target sensing device and a low-altitude target sensing system based on multi-base station cooperation. The low-altitude target sensing method comprises the following steps: performing down-conversion, cyclic prefix removal, discrete time sampling and DFT on a received time domain OFDM signal to obtain a frequency domain discrete signal observed quantity; smoothing the frequency domain discrete signal observed quantity into a plurality of sub-signal observed quantities by constructing a reconstruction rotation matrix and a reflection coefficient matrix; obtaining a parameter estimation result by using a four-dimensional joint ESPRIT algorithm; clustering the positioning estimation result of each ISAC base station by setting a threshold value; and based on the positioning estimation result of each ISAC base station, analyzing to obtain the real movement speed of the low-altitude target. Aiming at a one-transmitting-multiple-receiving multi-base-station cooperative sensing low-altitude target scene, multiple receiving stations cooperatively fuse the sensing data of each station, perform cooperative positioning on a low-altitude target, analyze the real three-dimensional speed of the target, fully utilize the observation information of each base station, and combine the good anti-interference performance and multi-carrier characteristics of OFDM signals, so that the multi-base-station cooperative sensing low-altitude target positioning method is realized. And multi-parameter joint estimation of the low-altitude target is realized.

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

The invention relates to the technical field of data processing, in particular to an engine running state monitoring method and system, and the method comprises the steps: obtaining a vibration signal and a crankshaft rotating speed signal of an engine in real time, and converting the vibration signal from a time domain to an angle domain by taking the crankshaft rotating speed signal as a reference; performing order spectrum analysis on the vibration signal in the angle domain to generate a real-time order spectrum, and comparing the real-time order spectrum with a reference order spectrum to determine the energy deviation of each order; meanwhile, extracting waveform segments of each order in a plurality of continuous periodic vibration signals, and calculating the similarity between the waveform segments so as to evaluate the morphological dispersion degree and quantify the morphological stability degree; and finally, the energy deviation and the form stability degree are fused, the comprehensive fault risk index of each order is determined, and the operation state of the engine is monitored based on the comprehensive fault risk index of each order. The method improves the accuracy and reliability of engine state monitoring.

An electrical propulsion system comprises an inverter, an electrical motor assembly, an assembly, and a rotor position sensor. The inverter comprises a printed circuit board assembly (PCBA). The electrical motor assembly comprises a stator and a rotor. The assembly is configured to rotate a propeller and comprises a moving component and a stationary component. The rotor position sensor comprises at least one sensor coupled to the PCBA, and a magnet located on the moving component. The at least one sensor is configured to detect a magnetic field of the magnet through the stationary component.

Provided is an electric power generating element and the like that are easy to appropriately apply a magnetic field to a magnetic body and easy to be manufactured. Electric power generating element (32) includes magnetic body (40) that exhibits a large Barkhausen effect, coil (42) wound around magnetic body (40), first soft magnetic body (44) positioned outside coil (42) in a winding axis line direction in which winding axis line (B) of coil (42) extends and positioned outside magnetic body (40) in a radial direction around winding axis line (B), and filling member (48) that includes a second soft magnetic body and fills a gap between magnetic body (40) and first soft magnetic body (44).

An electrical propulsion system for a vertical take-off and landing (VTOL) aircraft comprises an electrical motor assembly and an inverter assembly. The inverter assembly comprises a housing, a capacitor assembly, at least one printed circuit board assembly (PCBA), and a plurality of positioning pins. The capacitor assembly comprises a center hole, at least one capacitor, a capacitor housing having at least one busbar, and a plurality of through holes in the capacitor housing. The capacitor assembly and the at least one PCBA are positioned inside the housing. The plurality of positioning pins pass through the through the plurality of through holes of the capacitor housing and the at least one PCBA and are connected to the housing.

The invention relates to a railway track abrasion detection method and system, and aims to realize accurate and efficient detection of turnout sharp point rail abrasion. A detection device carrying a 3D camera, a speed sensor, a signal processing module and a data processing terminal is arranged in a turnout area to be detected, parameter configuration is completed, in the constant-speed moving process, the speed sensor generates a trigger signal according to the specified distance, the 3D camera is driven to synchronously collect point cloud data of the two-dimensional contour of the cross section of the sharp point rail, and a three-dimensional data stream is formed; after data are denoised, section registration splicing and three-dimensional model reconstruction are completed in combination with distance stamps, an actual measurement model and a standard contour model are superposed and compared, abrasion parameters are calculated, and the maximum abrasion point and position are recognized; and finally presenting the abrasion data in the forms of a color cloud picture, a table and the like, and automatically generating a standard detection report containing the contents of line information, defect types and the like. According to the method, automation and visualization of abrasion detection are achieved, the detection precision is high, the efficiency is high, and reliable data support is provided for track maintenance.

The invention discloses a bearing fault detection method based on an auto-encoder reconstruction error. The method belongs to the technical field of mechanical system fault detection, and comprises the following operation steps: selecting a sensor type, determining an installation position and setting related parameters; acquiring one-dimensional synchronous vibration data of k groups of bearings under normal working conditions, and respectively preprocessing the one-dimensional synchronous vibration data; training and testing an auto-encoder model by using the preprocessed data; obtaining one-dimensional synchronous vibration data of the real-time working condition of the bearing, and performing preprocessing; reconstructing the preprocessed real-time working condition data by using the trained auto-encoder model, and calculating a reconstruction error E; judging whether a fault occurs or not; according to the bearing fault detection method based on the self-encoder reconstruction error, the bearing fault can be effectively and reliably detected; the invention belongs to an artificial intelligence algorithm, and needs less manual expert knowledge; when the self-encoder model is trained, only the data in the healthy state of the bearing is used, and the problem of insufficient data volume during model training is solved.

The invention discloses a low-power-consumption winch sensor based on a tunneling magnetoresistance effect. The low-power-consumption winch sensor comprises a measurement module, a signal conversion unit, a shell, a mandrel, a magnetic rotary disc and a detection assembly. The magnetic turntable and the mandrel are connected and rotate synchronously, the detection assembly comprises a TMR sensing element and N magnets, and the magnetic turntable is provided with mounting blind holes for embedding the magnets; the TMR sensing element is arranged on the shell and comprises a mounting plate and two sensing units, the magnetic domain directions of the two sensing units are perpendicular to the rotation axis, magnetic resistance signals of the two sensing units are converted through the signal conversion unit and input into the measuring module, the horizontal distance between the centers of the two sensing units and the magnet and the rotation axis is R, and the center distance L of the two sensing units is smaller than R * sin (180 degrees / N); the sensor is based on the TMR tunneling magnetoresistance effect, is high in detection sensitivity and low in energy consumption, outputs square wave signals with phase differences, can be used for a measurement module to accurately analyze and calculate the rotating speed and the rotating direction of a winch roller, is simple in overall structure, small in radial size and easy to install, and the installation precision is controlled.

A vehicle includes a mixing drum rotatably coupled to a chassis, a fill level sensor configured to provide a signal indicative of a fill level of a material within the mixing drum, an axle assembly including a first tractive element, a suspension actuator coupled to the axle assembly and configured to apply a biasing force that forces the first tractive element into engagement with a ground surface, a lift axle including a second tractive element, a lift actuator coupled to the lift axle, and a controller. The controller is configured to calculate a target weight to be supported by at least one of the first tractive element or the second tractive element based on the fill level of the material within the mixing drum and control the suspension actuator to vary the biasing force based on the target weight.

The invention discloses a speed measurement method of an optimized speed observer, relates to the technical field of vehicle power control, and solves the problem that a small negative value is easily taken as a large positive value or a small positive value is easily taken as a large negative value due to the fact that a deviation angle crosses a period in angle error calculation of an existing speed observer. The speed measurement method comprises the following steps: the acquisition and processing module acquires and processes a pulse signal of the encoder to obtain a feedback angle; an angle estimation value is calculated; taking the difference between the feedback angle and the angle estimation value as a deviation angle, and performing nonlinear compensation to obtain an angle deviation value; inputting a matrix operation framework of a speed observer, and outputting a linear acceleration estimated value; the pulse signal of the encoder is collected and processed again, a feedback angle is obtained, M-method operation and filtering processing are carried out on the feedback angle and the last feedback angle, and the feed-forward speed is obtained; and the speed observer performs weighted fusion operation on the linear acceleration estimated value, the angle deviation value and the feedback angle to obtain a final angular velocity estimated value, so that a final estimated angle is obtained, and velocity measurement is completed.

The invention provides a wheel speed detection device and a chip system. The wheel speed detection device comprises a first comparator, a second comparator and a signal analyzer, the first comparator and the second comparator are respectively configured with different reference voltages, and the input end of the first comparator and the input end of the second comparator are used for receiving voltage signals generated by the same wheel speed sensor; and the signal analyzer is used for analyzing the wheel speed information according to the first comparison signal output by the first comparator and the second comparison signal output by the second comparator. Thus, the input signal is subjected to multi-threshold judgment by using a double-comparator structure, so that sensor signals of different current levels can be identified and analyzed uniformly, and compatible processing of sensor signals of multiple protocols is realized. Therefore, the problem that the overall system cost is increased due to hardware redundancy and system complexity increase in a traditional scheme is avoided, and the universality and the integration capacity of the interface module are effectively improved in a low-cost mode.

The invention discloses a detectability quantitative model and a filtering method for an underwater multi-source autonomous navigation system, and belongs to an underwater robot integrated navigation and integrated positioning technology. The method comprises the following steps: firstly, respectively carrying out error modeling on SINS, DVL and USBL sensors based on an SINS / DVL / USBL integrated navigation model; establishing a multi-dimensional detectability quantitative model from four dimensions of coverage rate, accuracy rate, real-time rate and availability rate; and finally, based on the established detectability quantitative model, the detectability of the sensor is incorporated into an adaptive Kalman filtering algorithm so as to optimize the problem of computing resource allocation during data fusion. Compared with a traditional detectability method, the underwater environment interference is considered to establish a multi-dimensional detectability quantitative model, a corresponding algorithm is proposed to dynamically allocate computing resources, and the precision and robustness of the underwater vehicle multi-source autonomous navigation system are further improved.

The invention discloses a motor vehicle exhaust monitoring and early warning method based on the Internet of Things, and particularly relates to the field of motor vehicle exhaust monitoring, and the method comprises the steps of reference matrix construction and storage, real-time data acquisition, vehicle working condition exhaust concentration weighted comprehensive deviation degree calculation, secondary check, standard exceeding judgment, graded early warning and reference matrix iterative optimization. According to the invention, a three-dimensional tensor exclusive reference matrix is constructed for each registered motor vehicle through the cloud system, the roadside sensing module is combined to collect the multi-component concentration, speed and acceleration data of the tail gas, and the weighted comprehensive deviation degree is quantitatively calculated through matrix operation, so that high-precision tail gas standard exceeding judgment is realized; according to the method, the reference matrix is dynamically optimized through the recursive least square method, monitoring failure caused by misinformation, missed information and reference disjunction is avoided, the environmental protection supervision efficiency is improved, unnecessary supervision resource waste is reduced, and long-term accurate operation of a monitoring system is guaranteed.

This invention discloses a servo-elastic stabilization method based on multi-sensor information fusion, belonging to the field of flight control. Specifically, it involves: extracting and modeling the main load-bearing structure of the aircraft; calculating the modal frequencies, mode shapes, and mode shape slopes of the aircraft under unconstrained conditions; then combining the aircraft, a first sensor, servo motors, and the control system to form a closed-loop servo-elastic system; calculating the open-loop system transfer function from the control input to the feedback input of the control system, drawing an open-loop Bode plot, and determining the dangerous frequencies and corresponding dangerous natural modes; based on this, placing a second angular velocity sensor on the aircraft; then calculating and correcting the weighting coefficients of the two angular velocity sensor signals, and introducing the weighted signal into the control system instead of the original signal; comparing the system characteristics to ensure the servo-elastic stability of the aircraft without affecting the rigid body phase and amplitude.

A system may include a static air temperature probe attached to an aircraft, an electronic flight instrument system, and a processor. The processor may be configured to measure a static air temperature at the aircraft using the static air temperature probe. The processor may further be configured to calculate a Mach number associated with the aircraft based at least partially on the static air temperature. The processor may also be configured to calculate a true air speed of the aircraft based on the Mach number. The processor may display an indication of the true air speed using the electronic flight instrument system. The processor may also be configured to calculate the speed of sound based at least partially on the static air temperature.

An electrode drying device includes a drying oven, a hot air spray nozzle, and a moisture supply device. The electrode drying device includes an interior space for drying an electrode sheet. The hot air spray nozzle sprays hot air on an electrode sheet being transferred into the drying oven. The moisture supply device includes a water spray nozzle, a water storage tank, and a pump. The water spray nozzle sprays moisture on a non-coating part of an electrode sheet. The water storage tank stores water and the pump is installed in a water storage tank to supply water to a water spray nozzle. The hot air spray nozzle dries an electrode sheet by spraying hot air, and the water spray nozzle may spray moisture on the non-coating part of the electrode sheet.

The invention relates to the technical field of data processing, in particular to a linear motor positioning precision dynamic test and analysis method, which comprises the following steps of: controlling a linear motor to perform full-stroke reciprocating constant-speed scanning, synchronous high-frequency acquisition of positions, current instructions and speed data; resampling according to a fixed position interval space to generate forward and reverse current and speed sequences; utilizing the characteristic that the friction force directions are opposite to counteract the friction component, calculating the resistance characteristic value of each position by combining the two-way speed stability weight, and constructing a resistance topographic map; the magnetic cogging effect and the mechanical anomaly are decoupled through the space gradient and the statistical deviation, and the mechanical anomaly saliency is determined; and a current feed-forward compensation table is generated and written into a driver, and a fault is marked for a saliency threshold exceeding position, so that dynamic testing and analysis of positioning precision are realized. According to the method, the resistance component is accurately separated by combining the current algebraic operation and the bidirectional speed weight, the topographic map is constructed to decouple the tooth socket and the installation abnormity, and the dynamic test precision and the diagnosis practicability are improved.

The invention relates to a motor filtering speed measurement method based on an FPGA, and belongs to the technical field of motor speed measurement. The filtering speed measurement method comprises the following steps: detecting rotation of a motor through a Hall encoder and outputting a pulse signal, outputting the pulse signal to a digital quantity input interface of an FPGA (Field Programmable Gate Array), and realizing a filtering speed measurement algorithm in the FPGA in a hardware form; and performing data operation processing on the pulse signal by using an FPGA based on a filtering speed measurement algorithm to realize measurement of the rotating speed of the motor. Compared with a speed measurement method in the prior art, the method has the advantages that the FPGA is combined with a filtering speed measurement algorithm, so that the rotation speed of the motor can be measured, the problem of low speed measurement precision of the motor in an unstable state can be effectively solved, the anti-interference capability of motor speed measurement can be improved, and the response speed of a speed measurement system can be increased.

A three-axis angular rate sensor with a substrate and a A double rotor is proposed, wherein the double rotor has a first and a second rotor (1, 2) which are elastically connected to one another via a first coupling element (8) in such a way that the two rotors (1, 2) can be excited to antiphase torsional vibrations, wherein the first rotor (1) has a first and a second second seismic mass (3, 4) which are mounted so as to be deflectable relative to the first rotor (1) and the second rotor (2) has a third and a fourth seismic mass (5, 6) which are mounted so as to be deflectable relative to the second rotor (2), wherein the first mass (3) is connected to the third mass (5) via a first rocker element (9) is connected in such a way that the third mass (5) at a lateral deflection of the first mass (3) is deflected in an opposite lateral direction, wherein the second mass (4) is connected to the fourth mass (6) via a second rocker element (9') such that the fourth mass (6) is deflected in an opposite lateral direction upon a lateral deflection of the second mass (4).

The invention discloses a wind power tower drum circular seam automatic welding device and a welding method, and relates to the technical field of welding devices, each bottom supporting frame is provided with a rotating mechanism, a supporting seat is placed at the bottom of a circular seam between two adjacent wind power tower drums, a welding mechanism is arranged on a sliding plate, and a position adjusting mechanism is arranged on the sliding plate; the situation that the rotating speed of the two wind power tower drums is not constant in the rotating process can occur, a rotating speed sensor on a rotating disc detects the rotating speed of an abutting iron wheel, the rotating speed sensor sends rotating speed information to a controller, when the wind power tower drums rotate too slowly, a sliding plate advances on an arc-shaped supporting frame, and when the wind power tower drums rotate too fast, the sliding plate moves forwards on the arc-shaped supporting frame. The sliding plate retreats on the arc-shaped supporting frame, the welding mechanism is kept to conduct constant-speed welding on the circular seam between the two adjacent wind power tower barrels, the particle scaling powder can evenly cover a molten pool, molten slag flows smoothly, air can be isolated, oxidation can be prevented, impurities can effectively float out, air holes are reduced, and the compactness of the welding seam is improved.

The invention discloses a configurable low-power-consumption six-axis inertial sensor sampling method suitable for livestock and poultry, and belongs to the technical field of animal behavior recognition and intelligent breeding. According to the method, by setting an intermittent sampling strategy and combining low-frequency period awakening and a short-time high-frequency data sampling window, behavior recognition data collection of the six-axis inertial sensor under the low-power-consumption condition is achieved. Meanwhile, a sampling template mechanism based on a behavior target is introduced, various sampling parameters can be configured according to the growth stage of the animal, the monitoring requirement and the variety difference, and multi-scene switching application such as oestrus recognition, parturient monitoring and night energy-saving guarding is supported. In addition, the system has an edge recognition capability, and can automatically trigger temporary recollection when detecting that the attitude angle is abnormal, so that the integrity of key behavior data is guaranteed. The method has the advantages of low power consumption, accurate recognition, flexible configuration, high adaptability and the like, and is widely applied to behavior monitoring scenes of bred animals such as dairy cows, pigs, sheep, chickens, ducks, geese and the like.

The invention relates to the field of water conservancy pipeline detection, and discloses a water conservancy pipeline pressure detection device which comprises a real-time cooling mechanism located in an overhead frame and used for dissipating heat generated by an electronic element, and a hole diameter conversion mechanism located in the overhead frame and used for cooperating with an output shaft and a liquid blocking ring structure of an input folding pipe and used for converting the heat generated by the electronic element into the heat generated by the electronic element when the water pressure is too large. And the traction pressure sensing element, the flow velocity detection element and the remote conveying element are located in the overhead frame and used for detecting water pressure and flow velocity data of the water conservancy pipeline and remotely conveying the data in real time. Through combination of various sensors and a mechanical structure, water pressure and flow velocity in a water pipeline can be measured in real time, accurate monitoring data can be provided, through combination with an output shaft, water pressure change in the water pipeline can be accurately sensed, and through rotation of a linkage auxiliary shaft and a linkage impeller, water flow velocity can be measured in real time. And synchronous work of the pressure sensing element and the flow velocity detection element is ensured.

The present invention provides a method, device, and apparatus for determining the instantaneous angular velocity of a rotating machine, wherein the method includes: obtaining a time-frequency diagram corresponding to an acceleration signal of the rotating machine within a preset time period; determining multiple first continuous ridge structures within the first sub-time period based on the local peak value of the spectrum corresponding to any moment in the time-frequency diagram; updating the multiple first continuous ridge structures based on a preset global optimization algorithm and the second ridge point of the time-frequency diagram in the second sub-time period to determine multiple second continuous ridge structures of the time-frequency diagram within the preset time period; determining a target instantaneous frequency within the preset time period based on a preset frequency domain sparsity evaluation index and the multiple second continuous ridge structures, and determining a target instantaneous angular velocity based on the target instantaneous frequency. The solution of the present invention can improve the accuracy of extracting the instantaneous angular velocity.

The invention relates to the field of guide bearing bush control, in particular to a signal processing system and method for guide bearing bush clearance automatic adjustment, and the system comprises a clearance metering module, a model boundary module, a fault learning module, a clearance adjustment module and an oil film lubrication module, the model boundary module is used for establishing a dynamic pressure lubrication model of the guide bearing bush and solving the gap of the guide bearing bush, the fault learning module is used for determining the gap adjustment amount, the gap adjustment module is used for adjusting gap distribution, and the oil film lubrication module is used for adjusting lubricating oil injection. And fault identification and automatic fault-tolerant adjustment are carried out, so that mechanical vibration of the bearing is reduced, operation stability of equipment is guaranteed, abnormal bearing bush gaps are avoided, mechanical efficiency of the bearing is improved, invalid power loss is reduced, service life of the equipment is prolonged, thickness and pressure distribution of a lubricating oil film are improved, and performance of bearing turbine equipment is improved.

The invention relates to the technical field of NVH performance testing, and discloses a method and system for testing NVH performance of a gear of a new energy automobile, and the method comprises the steps: synchronously collecting a rotating speed signal, a vibration signal and a sound pressure signal based on a rotating speed scanning working condition, determining a gear meshing frequency based on the rotating speed signal, the vibration signals and the sound pressure signals are subjected to order transformation processing, the rigidity adjustment range and the damping simulation constraint are determined based on the installation position and the suspension connection relation of the gear electric drive assembly rack in the whole vehicle, rotating speed scanning is repeatedly carried out under the combined working conditions of different rigidities and damping, and the rigidity adjustment range and the damping simulation constraint are determined. And sorting the multiple groups of vehicle boundary conditions based on the engagement order variation, taking the vehicle boundary condition with the maximum engagement order variation as a target boundary condition, and determining a gear NVH test result of the vehicle running state based on the gear squeal interval. According to the invention, by determining the rigidity adjustment range and the damping simulation constraint, the test reliability is ensured.

The invention discloses an intelligent detection system and method for the loading state of a railway wagon. The system comprises a frame, a 3D acquisition module, a vehicle number identification module, a speed measurement module, a control center and a data processing module. The frame is erected across two sides of the track; the 3D acquisition module comprises a laser scanning turntable; the laser scanning turntable is arranged on the frame and comprises a base disc, a laser scanning unit and a rotating shaft; the plurality of laser scanning units are mounted on the base disc, are uniformly distributed on the circumference taking the rotating shaft as the center, and are used for acquiring contour information of the surface of the railway wagon body; and the data processing module reconstructs vehicle body surface three-dimensional information according to the contour information, and identifies and obtains the loading state of the railway freight car. The base disc drives the laser scanning unit to rotate around the axis of the rotating shaft, the rotating direction is the same as the advancing direction of the railway wagon, and meanwhile the posture is adjusted in real time, so that the problems of motion blurring, data dislocation, three-dimensional point cloud data oscillation and the like existing when 3D image information of the railway wagon passing at a high speed is scanned and collected are solved.

The invention discloses a motor locked-rotor detection method and device, and an electronic speed regulator, and relates to the technical field of motor fault identification, the disclosed motor locked-rotor detection method and device, and the electronic speed regulator determine a locked-rotor state by integrating multi-dimensional parameters of motor input power, rotating speed and efficiency, and combine a dynamic threshold adjustment and temperature compensation mechanism, so that the motor fault identification efficiency is improved. The problems that traditional single parameter detection is high in false alarm rate and poor in adaptability are effectively solved, the detection precision can be effectively improved, the thermal damage risk can be reduced, and the service life of equipment can be prolonged.

Systems and methods for measuring an axial position of a phonic wheel or other rotating component are provided. The system includes a phonic wheel rotatable about a rotation axis and translatable along the rotation axis, a first sensor, a second sensor and a computer. The phonic wheel includes an inclined tooth having an axially non-uniform radial height and a reference tooth having an axially uniform radial height. The first sensor generates a positioning signal indicative of a gap between the inclined tooth and the first sensor. The second sensor generates a reference signal indicative of a gap between the reference tooth and the reference sensor. The first and second sensors have different orientations. The computer generates an output indicative of the axial position of the phonic wheel based on the positioning signal and the reference signal.