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40 results about "Order tracking" patented technology
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In rotordynamics, order tracking is a family of signal processing tools aimed at transforming a measured signal from time domain to angular (or order) domain. These techniques are applied to asynchronously sampled signals (i.e. with a constant sample rate in Hertz) to obtain the same signal sampled at constant angular increments of a reference shaft. In some cases the outcome of the Order Tracking is directly the Fourier transform of such angular domain signal, whose frequency counterpart is defined as "order". Each order represents a fraction of the angular velocity of the reference shaft.
Rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis
InactiveCN111307460AEfficient extractionMachine part testingImage enhancementFast Fourier transformBandpass filtering
The invention relates to a rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis, and the method comprises the following steps: (1), carrying out tree-shapeddecomposition filtering of a time domain vibration signal, obtaining a signal of each frequency band, calculating the spectral kurtosis, drawing a spectral kurtosis graph, and obtaining the central frequency and optimal demodulation bandwidth of the optimal demodulation bandwidth of filtering through calculation; (2) performing band-pass filtering on the time domain vibration signal according tothe optimal demodulation bandwidth, and performing Hilbert envelope demodulation on the filtered signal to obtain an envelope signal containing fault impact; (3) setting a rotating speed pulse threshold value, obtaining a pulse generation moment, solving an angle domain time quadratic equation coefficient, and solving an angle domain stable signal; and (4) performing fast Fourier transform on theangular domain stationary signal, setting a sampling frequency as an angular domain sampling rate, and obtaining a fault diagnosis conclusion. The method can effectively extract bearing fault featureorder components under variable working conditions.
Owner:CHINA PETROLEUM & CHEM CORP +2
Construction method for active-disturbance-rejection controller of hybrid electric vehicle BSG system
InactiveCN103412481AGood noise immunityGood anti-interference performanceAdaptive controlElectric vehicleNonlinear pid controller
The invention discloses a construction method for an active-disturbance-rejection controller of a hybrid electric vehicle BSG system. Specifically, the method includes the following steps that a composite controlled object is constructed; a second-order extended state observer is constructed; a proper reference trajectory transition process is arranged through a first-order tracking differentiator; the error of an output signal of the first-order tracking differentiator and an output signal of the second-order extended state observer serves as an input signal of a nonlinear PID controller; a signal formed by the output signal of the second-order extended state observer and an output signal of a fuzzy compensator in a superposition mode is combined with an output signal of the nonlinear PID controller to serve as a given input of the composite controlled object; the active-disturbance-rejection controller is constructed to control the composite controlled object. The construction method does not rely on a precise mathematic model of the system, internal disturbance and external disturbance of the system can be ascribed to total disturbance to be observed and compensated, and thus the hybrid electric vehicle BSG system has better disturbance resistance and a better steady-state characteristic.
Owner:JIANGSU UNIV
Gear fault positioning system and method
ActiveCN105092243AEliminate random noise componentsOvercoming frequency ambiguityMachine gearing/transmission testingBand-pass filterNoise reduction
The invention relates to a gear fault positioning system and method, and belongs to the field of a fault diagnosis technology and a signal processing analysis technology. The gear fault positioning system comprises a signal acquisition module, a signal processing module and a feature extraction module. By use of an order tracking method, frequency fuzziness caused by a phenomenon can be effectively overcome, by use of an angle domain synchronization average technology, random interference components such as a bearing and the like in a gear case can be eliminated, and the purpose of noise reduction is achieved; by use of spectral line editing, the disadvantage of incapability of completely filtering unnecessary frequency components due to existence of a transition zone in a conventional band pass filter can be overcome, and accordingly, a frequency band of interest is accurately filtered; influences exerted by such external factors as noise, rotation speeds, load fluctuations and the like on a phase demodulation effect can be eliminated, abrupt change of signals after demodulation at gear fault positions is more obvious, and gear faults are quite accurately positioned; and the method is easy to master and use, the algorithm meets the real-time performance requirement of an industrial field, and through actual application tests, the algorithm is accurate and reliable.
Owner:KUNMING UNIV OF SCI & TECH
Active-disturbance-rejection control method for position stepping of aerial camera scanning mechanism
ActiveCN109752954AReduce uncertaintyImprove control performanceAdaptive controlMoment of inertiaActive disturbance rejection control
The invention provides an active-disturbance-rejection control method for position stepping of an aerial camera scanning mechanism. The active-disturbance-rejection control method comprises the following steps: S1, processing a location input command of a mechanism object by adopting a two-order tracking differentiator, generating a differential signal of the command, forming a speed input feedforward amount according to the differential signal, and combining the speed input feedforward amount and a location control rule to generate a speed in-loop reference input amount; S2, establishing an object mathematic model according to the rotational inertia parameter and motor parameter of the mechanism object, wherein the object mathematic model is an output transfer function including disturbance, and a state equation of the mechanism object is obtained according to the output transfer function; S3, establishing a three-order linear expansion status observer according to known information,calculating an acceleration compensation amount and a speed error according to the in-loop reference input amount as well as a mechanism speed signal, an acceleration signal and a total turbulent amount estimated by the observer, and calculating a speed correction result according to the speed error; S4, performing total disturbance quantity saturation inhibition; and S5, generating a motor control amount.
Owner:CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
Tachometer-free rotating machinery fault feature extraction method under variable rotating speed
Owner:CYBERINSIGHT TECH CO LTD
Rotary machine rotating speed fluctuation keyless phase order tracking method
ActiveCN113125179ALow costReduce Detection ComplexitySubsonic/sonic/ultrasonic wave measurementStructural/machines measurementFrequency spectrumVibration acceleration
The invention relates to a keyless phase order tracking method for rotating speed fluctuation of a rotating machine. The method comprises the following steps of acquiring a vibration acceleration signal of the rotating machine; carrying out discrete short-time Fourier transform to obtain a time-frequency expression; estimating an initial time-frequency ridge line of the time-frequency expression through a double-side rapid ridge line extraction method; through a variational nonlinear frequency modulation mode decomposition method, according to the vibration acceleration signal and the initial time-frequency ridge line, extracting a signal dynamic characteristic; carrying out Hilbert transform and unwinding calculation on the dynamic characteristics of the signal to obtain an instantaneous phase curve of a modal component, and then carrying out equal-angle resampling to obtain an angular domain signal; and windowing the angular domain signal, converting the angular domain signal into an order domain by using discrete Fourier transform, and carrying out spectrum analysis and realizing fault diagnosis. Compared with the prior art, the method can eliminate the adverse effect of frequency spectrum fuzziness caused by the change of the rotating speed without the help of hardware equipment such as a key phase trigger, and effectively carries out signal processing and fault diagnosis on the rotating machine with a remarkable variable-rotating-speed working condition.
Owner:TONGJI UNIV
Rolling bearing fault detection method based on actual measurement signal
PendingCN112414713AApparently non-linear non-stationaryImprove the accuracy of fault identificationMachine part testingIncremental learning algorithmIncremental learning
The invention discloses a rolling bearing fault detection method based on an actual measurement signal. The rolling bearing fault detection method comprises the steps of: firstly, converting a rollingbearing fault time domain vibration signal to an angle domain through employing an order tracking technology; secondly, carrying out parameter optimization on variational mode decomposition through adpopting a longicorn beard search algorithm, and decomposing all state vibration signals of a rolling bearing to obtain a series of intrinsic mode functions, wherein frequency band energy in differentintrinsic mode functions can change when different faults happen to the bearing; thirdly, extracting Renyi entropy features from modal components containing main fault information, and constructing afeature subset; and finally, using normal state vibration signals easy to obtain for training, extracting fault characteristic quantities, establishing fault data samples and incremental learning data samples, acquiring a fault recognition model through training by adopting a single-class support vector machine incremental learning algorithm, judging whether the rolling bearing breaks down or notaccurately, and achieving fault early warning.
Owner:吉电(滁州)章广风力发电有限公司 +1
Online detection method for ball bearing contact angle of aero-engine
InactiveCN112525533AImprove the design levelOptimization parametersMachine part testingBearing assemblyBall bearingRolling-element bearing
The invention discloses an online detection method for the ball bearing contact angle of an aero-engine, and the method comprises the steps: installing a magnetoelectric vibration speed sensor on theinstallation edge of a casing before the aero-engine operates; connecting the output of the sensor to a vibration signal analyzer, meanwhile, connecting a rotating speed signal, and setting the vibration signal analyzer to be in an order tracking analysis mode to test and analyze the case vibration signal of the aero-engine in a small rotating speed state; when characteristic frequencies appear onthe two sides of the high-voltage rotor, extracting the frequencies; and analyzing the rolling bearing fault type corresponding to the characteristic frequencies, and calculating the actual contact angle of the ball bearing through a frequency formula. The method has the advantages that the actual contact angle of the ball bearing is calculated through the small-rotating-speed state characteristic frequency and used for determining the rigidity of the bearing so that the simulation calculation result of the aero-engine is closer to the operation rule of an actual engine; the method is used for improving bearing parameters and improving the ball bearing design level. The method is used for discovering vibration faults in advance and removing the vibration faults in a targeted mode, and theaccuracy reaches 80% or above.
Owner:SHENYANG LIMING AERO-ENGINE GROUP CORPORATION
Dynamic satellite communication system signal tracking method and device
ActiveCN112260977AEffective trackingImprove bit error rate performanceMulti-frequency code systemsTelecommunicationsTarget signal
The invention provides a dynamic satellite communication system signal tracking method and device, and relates to the technical field of satellite communication, and the method comprises the steps: obtaining a target signal transmitted by a satellite, and enabling the target signal to be a signal obtained after the preprocessing of information source data; calculating a Doppler frequency offset value of the target signal, and compensating the target signal by using the Doppler frequency offset value to obtain a compensated target signal; calculating a code loop phase difference and a trackingfrequency change error of the compensated target signal by using a third-order tracking loop, and synchronizing the compensated target signal by using the code loop phase difference and the tracking frequency change error to obtain a synchronization signal; sequentially performing descrambling processing, de-interleaving processing and decoding processing on the synchronization signal so as to track the satellite. Therefore, the technical problem of the influence of the Doppler effect on satellite communication in the prior art is solved.
Owner:TSINGHUA UNIV
Intelligent fault diagnosis method for rotating machine at time-varying rotating speed
ActiveCN111307452AFast convergenceImprove generalization abilityMachine part testingTime domainFrequency spectrum
The invention discloses an intelligent fault diagnosis method for a rotating machine at a time-varying rotating speed. Angular domain resampling is carried out on a time-domain vibration signal of a rolling bearing and a non-stable time-domain signal is converted into a stable angular domain signal, to so that the impact on the analysis of the vibration signal from the change of the rotating speedis eliminated; gabor transformation capable of well describing transient characteristics of drastically changing signals is used for a rotating speed estimation method based on time-frequency spectrum ridge line fitting; a keyless phase order tracking method without installing a rotating speed sensor is suitable for occasions where the rotating speed sensor cannot be installed. An LSTM model capable of adaptively extracting time sequence features without expert experience and domain knowledge is adopted, and due to the existence of a BN generalization layer, convergence of the model can be accelerated, over-fitting is prevented, the generalization ability of the model is improved, and adaptive intelligent fault diagnosis and identification of the rotating machine under the variable-rotating-speed working condition are realized.
Owner:江苏天沃重工科技有限公司
Order analysis method based on numerical control machine tool spindle current signals
The invention discloses an order analysis method based on numerical control machine tool spindle current signals. The method comprises the steps of calculating collected numerical control machine toolspindle current signals to obtain spindle rotating speed; performing improved second-generation Kalman filtering order tracking on the vibration signals synchronously acquired with the current signals and the calculated rotating speed signals to extract each order component; and finally, drawing an order-time-amplitude three-dimensional order spectrogram and an order-rotating speed-amplitude three-dimensional order spectrogram. Aiming at the existing tachometer rotating speed calculation method and occasions and equipment which are inconvenient to install, the invention provides a three-dimensional order spectrogram which can calculate the rotating speed through numerical control machine tool main shaft current signals and then make a three-dimensional order spectrogram. The method does not need to obtain rotating speed pulse signals, and the calculation result is superior to that of an instantaneous frequency estimation method for obtaining the rotating speed; and the change conditions of the fault feature order and the feature order amplitude along with the time and the rotating speed can be visually seen in the three-dimensional order spectrogram.
Owner:BEIJING UNIV OF TECH
A method and system for monitoring rotor blades of a turbomachine using blade tip timing (BTT)
ActiveCN109716077AVibration measurement in solidsGas-turbine engine testingClassical mechanicsEngineering
A method (400) of determining blade tip deflection characteristics is applied to moving rotor blades (R1, R2) in a turbomachine (10) comprising a housing and rotor including a shaft with the rotor blades attached thereto and at least one proximity probe (202). The method (400) includes measuring ((402) a proximity signal caused by a presence of a proximate tip of a moving rotor blade (R1) and calculating (404) by a control module (212) a shaft Instantaneous Angular Position (IAP) as a function of time, and performing (410) an order tracking process which includes expressing (412) the measuredproximity signal in the angular domain and resampling (414) the expressed proximity signal to render it equidistant in the angular domain. The method (400) includes performing (416) a pulse localisation process which includes filtering (418) the proximity signal yielding a complex-valued response, expressing (420) the complex-valued response in terms of a local amplitude and phase, and calculating(422) local phase shifts between each expressed signal and a reference signal.
Owner:UNIVERSITY OF PRETORIA
Early fault analysis and feature extraction method for equipment vibration signal under variable speed working condition
PendingCN112781709AHigh precisionImprove accuracyVibration measurement in solidsMachine bearings testingFeature extractionFault analysis
The invention discloses an early fault analysis and feature extraction method for an equipment vibration signal under a variable-speed working condition, and the method comprises the steps: synchronously collecting an equipment vibration signal and a rotating speed pulse signal at a high speed, carrying out the envelope extraction of a high-frequency vibration signal, recognizing the pulse edge time scale of the rotating speed pulse signal, estimating the instantaneous rotating frequency, and calculating an angle domain sampling time sequence; and carrying out vibration envelope signal digital tracking anti-aliasing filtering, original vibration envelope signal order tracking sampling, and specific envelope signal FFT analysis. The problems of early fault signal analysis and fault feature extraction of equipment such as bearings and gearboxes under the variable-speed working condition are effectively solved, and the signal analysis precision and the fault diagnosis accuracy are improved.
Owner:SHANGHAI NUCLEAR ENG RES & DESIGN INST CO LTD
Planetary gearbox fault diagnosis method under time-varying rotating speed based on POVMD and FDTW
InactiveCN113702043AEliminate spectral ambiguityMachine part testingComplex mathematical operationsFrequency spectrumGear wheel
The invention provides a planetary gearbox fault diagnosis method under a time-varying rotating speed based on POVMD and FDTW, and belongs to the technical field of rotating machinery fault diagnosis and vibration signal analysis. Unlike a previous order tracking technology without a rotation speed measuring device, according to the present invention, an original time scale is projected onto a new time scale by twisting a measured vibration signal at the time-varying rotation speed, wherein the time-varying speed of a shaft is extruded towards a constant reference speed, so that on the transformed time scale, the fuzzy frequency spectrums of the frequencies change along with the speed are extruded into respective independent peak values, and the required shaft rotating speed information is not required to be accurate, and accordingly the gear and bearing fault information of a planetary gear box under the time-varying rotating speed can be accurately identified.
Owner:DALIAN UNIV OF TECH
Wide-area order tracking method and system for monitoring train running gear
ActiveCN112665712AOrder Tracking AccurateReduce installation difficultySubsonic/sonic/ultrasonic wave measurementSustainable transportationTime domainVibration amplitude
The invention discloses a wide-area order tracking method for monitoring a train running gear. The method comprises the following steps: obtaining a time-domain vibration signal sequence f (t) collected by a vibration sensor, and obtaining a key-phase vibration signal sequence f (theta) collected by a key-phase sensor at each key-phase phase point; according to the relationship between the key phase theta and the time t in f (theta) and f (t), adopting a spline interpolation method to construct a function relationship between any phase and the time t, and according to the relationship between the function relationship and the time domain vibration signal sequence f (t), adopting the spline interpolation method to construct a relationship between any phase and the vibration signal; obtaining a phase-vibration signal sequence, performing equal-angle resampling on the phase vibration signal sequence, and obtaining a resampled phase vibration signal sequence; and performing Fourier transform on the resampled phase vibration signal sequence to obtain the frequency and amplitude of the vibration signal. According to the invention, accurate order tracking is carried out on the characteristics of the train during running in a wide speed range of the train.
Owner:浙江省交通投资集团有限公司 +2
High-resolution intelligent rotor machine diagnostic system and method
InactiveUS7079959B2High resolutionVibration measurement in solidsFlow propertiesSimulationMachine diagnostics
Owner:NAT CHIAO TUNG UNIV
Generalized autocorrelation method for bearing fault feature extraction under variable speed working condition
ActiveCN113984387AOvercoming Strong Background NoiseAvoid difficultiesMachine part testingDesign optimisation/simulationFeature extractionAlgorithm
The invention discloses a generalized autocorrelation method for bearing fault feature extraction under a variable-speed working condition, which is combined with a period estimation method to realize balance between accumulative circulation and strong background noise and is used for bearing fault diagnosis under the variable-speed working condition. The method comprises the steps that an order tracking processing method is adopted, an original vibration signal is resampled in an order domain through instantaneous phase information, and the frequency modulation phenomenon is greatly weakened; a generalized autocorrelation method is adopted, correlation of a plurality of adjacent fragments is considered, and background noise is further weakened; on the basis that the original NRC method considers the correlation among all signal segments and cannot eliminate the influence of the accumulative periodic disturbance, only the correlation of a plurality of adjacent signal segments is considered, and the accumulation of the periodic disturbance is controlled. Compared with the traditional method, the method has the advantages that the difficulty caused by mutually restricted signal characteristics is overcome, and the effect is better.
Owner:JIANGSU UNIV +1
Fault diagnosis method and device for wind generating set
PendingCN113985276ANo speed order tracking method is accurateLow costSubsonic/sonic/ultrasonic wave measurementDynamo-electric machine testingControl theoryComputer science
The invention provides a fault diagnosis method and device for a wind generating set. The method comprises the following steps of: acquiring a current signal and vibration data of a wind generating set; determining the angular displacement of a generator of the wind generating set according to the current signal; determining a first-order spectrum of the wind generating set according to the angular displacement and the vibration data, a first coordinate axis of the first-order spectrum being used for representing the angular displacement, a second coordinate axis of the first-order spectrum being used for representing the vibration data, and the angular displacement comprising a plurality of unit angular displacements; carrying out interpolation processing on the first-order spectrum to enable the number of the vibration data corresponding to each unit angular displacement to meet a preset condition, so as to obtain a second-order spectrum; and analyzing the second-order spectrum by adopting a fault diagnosis algorithm. The non-rotating-speed order tracking mode is more accurate and stable, the system cost is reduced, and the precision and definition of fault diagnosis are improved through interpolation processing.
Owner:SHANGHAI ELECTRIC WIND POWER GRP CO LTD
Rotor dynamic balance fault feature extraction method under keyless phase change rotating speed
ActiveCN113984282AHigh instantaneous frequency conversion accuracyLow costStatic/dynamic balance measurementBandpass filteringFrequency spectrum
The invention discloses a rotor dynamic balance fault feature extraction method under a keyless phase change rotating speed. The method comprises the steps of carrying out band-pass filtering noise reduction processing on an acquired vibration signal; performing time-frequency analysis on the vibration signal after noise reduction processing through short-time Fourier transform to obtain time-frequency energy distribution; calculating by adopting a Sobel operator to obtain an energy gradient, and searching a target ridge line with the minimum energy gradient by adopting a dynamic programming algorithm so as to adjust the discontinuity of ridge line change caused by noise and realize accurate estimation of the instantaneous rotation frequency of the variable-rotating-speed vibration signal; and according to the extracted instantaneous rotation frequency, carrying out order tracking calculation and discrete spectrum correction on the vibration signal after noise reduction processing, and extracting the amplitude and the phase corresponding to a first-order spectrum. According to the invention, near frequency and strong noise interference can be overcome, the dynamic balance fault features of the variable-speed rotor can be accurately extracted under the condition of keyless phase signal, the hardware cost is saved, and the dynamic balance efficiency is improved.
Owner:XIAMEN UNIV
Vibration order tracking analysis method
ActiveCN114485914ASolve wasteHigh precisionSubsonic/sonic/ultrasonic wave measurementSustainable transportationFrequency counterEngineering
The embodiment of the invention provides a vibration order tracking analysis method, and the method comprises the following steps: carrying out the collection of real-time vibration and rotating speed signals under a pseudo-synchronous sampling condition; performing timing compensation on the rotating speed pulse by adopting a high-frequency counter to obtain an instantaneous rotating speed and an instantaneous phase sequence which are synchronous with rotating speed sampling; according to the rotating speed sampling frequency and the compensated instantaneous phase sequence, obtaining a sampling time list sequence corresponding to the phase to be interpolated by using an interpolation resampling method; and according to the interpolated phase sequence and the corresponding sampling time list, in combination with the vibration sampling frequency and the time sequence generated by corresponding vibration, using the interpolation method again to obtain a new interpolation vibration sequence of the corresponding moment of the interpolated phase sequence. The method can greatly improve the calculation efficiency of a traditional tracking algorithm.
Owner:XIAMEN NIELL ELECTRONICS
A vibration signal separation method of planetary gearbox for fault diagnosis
ActiveCN110514437BImprove the accuracy of fault diagnosisResolve mutual interferenceMachine part testingGear wheelEngineering
Owner:XI AN JIAOTONG UNIV
Bearing fault diagnosis method under variable speed working condition based on mobile equipment
PendingCN113702046AEasy to useReduce testing costsMachine part testingCarrier signalAmplitude demodulation
According to a bearing fault diagnosis method under the variable-speed working condition based on mobile equipment, carrier waves are emitted through a loudspeaker of the mobile equipment, amplitude demodulation is carried out on sound signals collected by a microphone, then instantaneous phase signals of a rotating shaft where a bearing is located are restored through maximum search and least square polynomial fitting, a spectral kurtosis method is used to extract a fault impact envelope to perform order tracking, and a bearing fault is judged through envelope order spectrum analysis. According to the method, test hardware outside mobile equipment does not need to be used, the test cost is reduced, the fault order of the bearing is irrelevant to the rotating speed, compared with a traditional envelope spectrum, the envelope order spectrum is easier to judge the occurrence and the type of the fault, the method is suitable for bearing diagnosis under the working condition of a fixed rotating speed, and a mobile phone program application form is beneficial to technical popularization and field personnel use.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
A method for extracting rotor dynamic balance fault features under keyless phase transition speed
ActiveCN113984282BHigh instantaneous frequency conversion accuracyLow costStatic/dynamic balance measurementBandpass filteringFrequency spectrum
A method for extracting fault features of rotor dynamic balance under keyless phase change rotation speed, comprising: performing band-pass filtering noise reduction processing on collected vibration signals; Analysis, get the time-frequency energy distribution; use the Sobel operator to calculate the energy gradient, and use the dynamic programming algorithm to search for the target ridge line with the minimum energy gradient to adjust the discontinuity of the ridge line change caused by noise, and realize the instantaneous vibration signal of variable speed. Accurate estimation of rotational frequency; according to the extracted instantaneous rotational frequency, the vibration signal after noise reduction processing is subjected to order tracking calculation and discrete spectrum correction, and the amplitude and phase corresponding to the first-order spectrum are extracted. The invention can overcome the interference of adjacent frequency and strong noise, realize accurate extraction of dynamic balance fault features of variable-speed rotor without key phase signal, save hardware cost and improve dynamic balance efficiency.
Owner:XIAMEN UNIV
A Fault Feature Extraction Method for Rotating Machinery Without Tachometer at Variable Speed
Owner:CYBERINSIGHT TECH CO LTD
Order tracking method, device, storage medium and terminal for window customization
ActiveCN109460960BAccurate monitoringImprove monitoring accuracyBuying/selling/leasing transactionsLogisticsSingle plateManufactured material
In the present invention, by acquiring the order information of the order, the order information carries profile monomer demand information and glass plate monomer demand information; acquires the first quantity information and first specification information of raw material profiles, and obtains the second quantity of raw material glass plates information and second specification information; calculate the first identification information according to the first quantity information, the first specification information and the profile monomer demand information; generate a two-dimensional code for printing on the raw material profile and the raw material glass plate, the glass The second identification information on the plate monomer carries the second identification information of each glass plate monomer corresponding to the raw material glass plate; obtain the scanning information obtained by the production station after processing each raw material profile or raw material glass plate. A two-dimensional code; the progress information of the order of the window is calculated according to the two-dimensional code; thereby realizing accurate monitoring of the progress of the order, which has the beneficial effect of improving the accuracy of monitoring.
Owner:佛山市南海区微高软件有限公司
Gear health monitoring index construction method based on order sideband product spectrum
PendingCN114166503AAvoid frequencySuppress noise interferenceMachine part testingComplex mathematical operationsVibration accelerationGear drive
The invention discloses a gear health monitoring index construction method based on an order sideband product spectrum, and the method comprises the steps: carrying out the angle domain resampling of a measured vibration acceleration signal through employing a calculation order tracking technology, and carrying out the Fourier transform of a resampling signal, and obtaining an order spectrum; calculating an order sideband product spectrum by using an order spectrum according to the order resolution and the tooth number information, designing a rectangular window by taking the gear tooth fault feature order as a center, and capturing corresponding gear tooth fault information in the order sideband product spectrum; finally, health monitoring indexes are calculated, and an alarm threshold value self-learning method is established by means of a statistical learning method based on data driving; according to the method, the influence of in-band noise on monitoring index construction is effectively inhibited through the order sideband product spectrum technology, the proposed alarm threshold self-learning method is simple and universal, the dependence on professional technicians is avoided, and gear transmission real-time health monitoring and threshold self-setting functions are realized.
Owner:苏州微著设备诊断技术有限公司
An intelligent fault diagnosis method for rotating machinery under time-varying speed
ActiveCN111307452BFast convergenceImprove generalization abilityMachine part testingFrequency spectrumGabor transform
Owner:江苏天沃重工科技有限公司
Fault Diagnosis Method of Mechanical Equipment Based on Transient Characteristics of Encoder Signal
ActiveCN110580471BImplement extractionEliminate the effects of rotational speed changesMachine gearing/transmission testingCharacter and pattern recognitionTime domainData acquisition
Owner:BEIHANG UNIV +1
A Keyless Phase Order Tracking Method for Speed Fluctuation of Rotating Machinery
ActiveCN113125179BLow costReduce Detection ComplexitySubsonic/sonic/ultrasonic wave measurementStructural/machines measurementFrequency spectrumVibration acceleration
Owner:TONGJI UNIV
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