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743 results about "Rotary machine" patented technology
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Rotary machinery system performance evaluation and optimization method and system based on system negentropy conversion rate
The invention provides a rotating mechanical system performance evaluation and optimization method and system based on system negentropy conversion rate, and the method comprises the following steps: carrying out the numerical simulation of a flow field of a rotating mechanical system through a computational fluid mechanics method, and obtaining the parameters of the flow field; calculating a viscous dissipation entropy yield, a turbulent dissipation entropy yield and a wall entropy yield in the fluid domain based on the flow field parameters; the total entropy yield of the system is obtained through the volume fraction and the wall area fraction of the whole fluid domain; converting the input power of the rotating machinery into an equivalent negentropy flow, and calculating the negentropy conversion rate of the system for evaluating the effective utilization degree of the input power; and evaluating the performance of the rotating machinery system based on the negentropy conversion rate, and identifying a key area of energy loss. According to the method, the negentropy conversion rate result is applied to structural design optimization, running state diagnosis and energy efficiency adjustment of the rotating machinery, and online calculation and dynamic visualization can be realized in combination with real-time monitoring data.
Owner:SUZHOU MANGRUFU EQUIPMENT TECHNOLOGY CO LTD +1
Fault diagnosis method and system for rotating machine bearing
The invention discloses a fault diagnosis method and system for a rotating machine bearing, and belongs to the technical field of fault diagnosis. The method comprises the following steps: acquiring a to-be-diagnosed vibration signal of the rotary mechanical bearing; inputting the to-be-diagnosed vibration signal into a pre-constructed bearing fault diagnosis model, and outputting a fault diagnosis result of the rotating machine bearing; the bearing fault diagnosis model comprises a feature extraction network, a GMM feature enhancement module, a projection distillation module and a dynamic extensible classifier which are connected in sequence. According to the method, catastrophic forgetting can be effectively relieved, continuous diagnosis of newly-occurring accidental faults can be achieved, in the initial task, the model learns and identifies different fault types through a fault bearing data set collected in advance, a basis is provided for the subsequent increment task, the increment task is composed of a plurality of stages, and in each stage, the fault bearing data set is subjected to fault detection. The model enhances playback of old knowledge through historical category pseudo features generated by a Gaussian mixture model, and aligns feature representations of new and old models by using a projection distillation module.
Owner:SUZHOU UNIV
Vehicle door switch actuating apparatus with a large actuating surface
Owner:ILLINOIS TOOL WORKS INC
Rotary machine domain confrontation fault diagnosis method based on multi-angle feature perception
The invention provides a rotating machine domain confrontation fault diagnosis method based on multi-angle feature perception, and the method comprises the steps: obtaining the original vibration signal data of a rotating machine, and constructing a label source domain data set and a multi-angle feature extraction structure; based on a multi-angle feature extraction structure, performing multi-scale parallel convolution on the original vibration signal by using three time domain branches to obtain a time domain feature vector; performing fast Fourier transform on the original vibration signal by using the three frequency domain branches to obtain a frequency domain feature vector; and splicing the time domain feature vector and the frequency domain feature vector into a fusion feature in the channel dimension, and constructing a domain adversarial learning module based on the fusion feature to perform fault diagnosis. According to the method, the essential characteristics of the signal can be deeply sensed from multi-granularity and multi-mode angles, efficient modeling of non-stationary impact, a periodic mode and a key response position is realized, and the robustness and the cross-domain generalization ability of fault diagnosis are further improved.
Owner:HARBIN INST OF TECH
Method and system for detecting looseness of rotor bolt of high-rotating-speed hydraulic generator
The invention discloses a high-rotating-speed hydraulic generator rotor bolt looseness detection method and system, belongs to the technical field of hydropower station high-rotating-speed rotating mechanical equipment detection, and aims at solving the technical problems that hydraulic generator rotor bolt looseness detection is low in efficiency and poor in precision, real-time monitoring cannot be achieved, and safe and stable operation of a hydropower station is seriously affected. According to the invention, the image of the rotor bolt area is collected, and the image is accurately processed by using an image correction algorithm, so that image distortion is eliminated; thirdly, fusing an improved YOLOv8 target detection technology, a DeepLabV3 + semantic segmentation technology and a DeepSort multi-target tracking technology, and accurately extracting angle features of the bolt marking line; and then, a looseness identification objective function is constructed based on the angle change of the bolt, the function is solved in real time, and a detection result is output. According to the invention, high-precision, non-contact and real-time bolt looseness detection is realized, the detection efficiency and reliability are effectively improved, and a solid guarantee is provided for safe operation of a hydropower station.
Owner:CHINA YANGTZE POWER
Method for identifying blade surge characteristics based on blade tip vibration speed
PendingCN121207315AMachine part testingSubsonic/sonic/ultrasonic wave measurementStructural engineeringControl theory
The invention discloses a method for identifying blade surge characteristics based on blade tip vibration velocity, and relates to the technical field of non-contact measurement of rotating machinery rotor blades. According to the method, the vibration speed and the vibration displacement of the blade tip are monitored according to the two blade tip timing sensors installed in a small angle difference mode, the theoretical arrival time of the blade does not need to be considered when the vibration speed and the vibration displacement of the blade tip are calculated, and the calculation efficiency and the calculation accuracy are greatly improved; in combination with the time-frequency enhancement characteristic of a synchronous compression wavelet transform method, the dominant subsynchronous frequency of the blade is tracked and identified through the blade tip vibration speed, and meanwhile, a frequency ridge line is extracted for surge frequency identification and a surge interval is positioned; and finally, the vibration intensity during blade surge is judged according to a proposed intensity quantized value calculation method based on the blade tip vibration speed. The method for efficiently calculating the blade tip vibration parameters is provided, the surge frequency can be quickly recognized, the surge interval can be positioned, and the surge intensity can be quantitatively evaluated.
Owner:BEIJING UNIV OF CHEM TECH
Bearing bush magnetic circuit integrated structure with radial and axial composite vortex suppression slots
The invention belongs to the field of rotating machinery bearing engineering and magnetic circuit design, and discloses a bearing bush and magnetic circuit integrated structure with radial and axial composite vortex suppression slots. The partition magnetic conduction embedded blocks are embedded into the bearing bush body in an annular multi-sector array and are symmetrically arranged between the left end face and the right end face of the bearing bush body in the axial direction; the vortex suppression slits are arranged at equal intervals along the circumferential direction of the bearing bush body; the partition water paths are respectively arranged on the back sides of the partition magnetic guide embedded blocks; the compliant thin-wall area is a liquid film area arranged between the bearing bush body and the partitioned magnetic conduction insert block; the magnetic flux gathering windows are magnetic path areas with small magnetic resistance in the bearing bush body, and each partition magnetic conduction embedded block correspondingly forms one magnetic flux gathering window and is distributed in the bearing bush body on the back side of the partition magnetic conduction embedded block. The adjustable shielding sheet is parallel to the surface of the bearing bush body and arranged in the axial center area of the bearing bush body.
Owner:DALIAN UNIV OF TECH
Bearing fault diagnosis method based on wavelet time-frequency coding and convolution visual converter
The invention discloses a bearing fault diagnosis method based on wavelet time-frequency coding and a convolution visual converter. The method comprises the following steps: collecting vibration signals of a bearing under different working conditions; performing continuous wavelet transform on the one-dimensional vibration signal to generate a two-dimensional time-frequency diagram with high time-frequency resolution; carrying out coding and image enhancement on the time-frequency graph through an enhanced color mapping mode; inputting the time-frequency graph into a convolution visual converter model, and realizing local and global combined extraction of vibration features through convolution projection, a self-attention mechanism and a multi-stage feature fusion structure; the features are classified to identify a state of health or type of fault of the bearing. According to the method, the diagnosis precision and robustness in a complex working condition and high-noise environment are effectively improved, and the method is suitable for state monitoring and early fault early warning of various types of rotary mechanical equipment.
Owner:GUILIN UNIV OF ELECTRONIC TECH
Multi-shafting rotating machine rotating speed estimation method based on displacement vibration signals
The invention belongs to the technical field of rotating machinery signal processing, and discloses a multi-shafting rotating machinery rotating speed estimation method based on a displacement vibration signal, and the method comprises the steps: collecting the displacement vibration signal, and carrying out the short-time Fourier transform to obtain a time-frequency distribution matrix; screening out a safety harmonic set of each shafting based on the estimated rotating speed range; calculating a definition evaluation value of each safety harmonic wave and selecting an optimal harmonic wave as a target tracking harmonic wave; constructing a cost function fusing amplitude and frequency abrupt change penalty, and performing ridge line tracking in the local time-frequency matrix after noise reduction to obtain a preliminary estimation time-frequency curve; and constructing a demodulation phase function based on the curve, performing generalized demodulation and narrow-band filtering on an original signal, extracting a pure harmonic component, and finally reconstructing a final rotating speed curve of a corresponding shaft system through instantaneous phase differential. According to the method, high-precision and anti-interference decoupling and estimation of the rotating speed of each shafting under a strong interference background are realized.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Rotary machinery dynamic balance optimization method based on attitude performance correlation model
The invention discloses a rotary machine dynamic balance optimization method based on an attitude performance correlation model, and relates to the technical field of rotary machine dynamic balance optimization. Comprising the following steps: S1, synchronously collecting rotor vibration signals and temperature field data through temperature and vibration sensors, carrying out real-time calibration on structure parameters, substituting a temperature compensation algorithm to calculate interference components, and outputting pure vibration deviation data subjected to temperature compensation; the structural parameters comprise a rotor thermal expansion coefficient, a bearing radial clearance temperature attenuation coefficient and inherent or dynamic characteristic parameters related to material properties, geometric dimensions and connection states of the rotary machinery. The method has the advantages that through deep combination of vibration and temperature, a temperature-frequency spectrum-amplitude three-dimensional coupling traceability matrix is constructed; multi-feature matching is achieved through a fusion algorithm, temperature-dominated vibration sources and mechanical-dominated vibration sources can be clearly distinguished, and the accuracy of the dynamic balance optimization direction is guaranteed.
Owner:STATE POWER INVESTMENT GRP SHENMU NEW ENERGY POWER GENERATION CO LTD
Rolling bearing performance degradation evaluation method based on kernel optimal global locality preserving projection and Sinkhorn distance
The invention relates to the technical field of rolling bearing state monitoring, and discloses a rolling bearing performance degradation evaluation method based on kernel optimal global locality preserving projection and Sinkhorn distance, which comprises the following steps: acquiring an original vibration signal of a rolling bearing, performing feature extraction on the original vibration signal, and constructing a high-dimensional feature set; calculating and screening features in the high-dimensional feature set, and constructing a sensitive feature set; performing dimension reduction processing on the sensitive feature set by adopting a kernel optimal global locality preserving projection method to obtain a low-dimensional feature matrix; in the low-dimensional feature matrix, the difference between samples is calculated based on the optimal transmission distance of entropy regularization, and a Sinkhorn distance matrix is constructed; on the basis of the Sinkhorn distance matrix, constructing a degradation index; a health threshold is set, an early degradation point is judged through the degradation index and the health threshold, rolling bearing fault recognition and performance evaluation are achieved in combination with the change trend of the degradation index value, and technical support can be provided for health monitoring and intelligent maintenance of rotary mechanical equipment.
Owner:BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
Rotary machinery fault diagnosis method based on improved VMD and energy operator
The invention discloses a rotating machine fault diagnosis method based on improved VMD and an energy operator, and belongs to the field of rotating machine fault diagnosis. In order to solve the defects that in the prior art, VMD decomposition parameters depend on empirical setting, and optimal IMF screening basis is insufficient, the technical scheme provided by the invention comprises the following steps: performing global optimization on penalty factors and modal decomposition number in variational modal decomposition by using a grey wolf optimization algorithm, and determining an optimal parameter combination; decomposing the collected vibration signal to obtain an intrinsic mode component; respectively calculating kurtosis and an envelope harmonic noise ratio for the intrinsic mode component, and selecting the component with the maximum fusion index as the optimal component; performing Hilbert transform on the optimal component, and calculating an energy signal; and performing fast Fourier transform on the energy signal to obtain a spectrogram and identify a fault characteristic frequency. The method is suitable for automatic identification and state monitoring of early faults of rotary mechanical equipment in industrial production.
Owner:HARBIN ENG UNIV
Rotating machine fault diagnosis method and system
The invention provides a rotating machine fault diagnosis method and system. The method comprises the following steps: collecting a vibration signal of a rotating machine to be detected; on the basis of the vibration signals, the fault type of the rotating machine to be detected is judged through a trained VLFFD model; wherein the VLFFD model is composed of a backbone network and a classification header network based on dot product similarity, the backbone network comprises a one-dimensional convolution feedforward network and a feature fusion module, and the feature fusion module is a feature fusion network based on a multivariable self-attention mechanism and a grouping query attention mechanism. According to the scheme, the adaptability and generalization ability of mechanical fault identification under different sampling signals can be enhanced, and the accuracy of rotary mechanical fault identification is guaranteed.
Owner:WUHAN HEAVY MACHINE TOOL GRP +1
Rotating machine
PendingUS20260112943A1Magnetic circuit rotating partsMagnetic circuit stationary partsStator coilThin membrane
A rotating machine has a rotor and a stator that faces the radial outer side of the rotor via a gap. The stator has a stator coil and a stator core having a slot accommodating the coil. The stator has a thin film member covering at least a portion of an inner circumferential surface of the core, and having a window unit exposing the core to the radial inner side. A cylindrical unit covers the inner peripheral surface of the core on both axial sides of the window. The thin film member has a radiating unit that expands to the radial outer side from the cylindrical unit across a side wall of the slot. The thin film member has a first flow path that reaches from the window unit to the radial outer side of the cylindrical unit, and extends to both axial ends along the radiating unit.
Owner:MEIDENSHA CORP
Rotary machine fault diagnosis method for improving H5N1-VMD-MFWA noise reduction
ActiveCN121256335AMachine part testingSubsonic/sonic/ultrasonic wave measurementAlgorithmMechanical equipment
The invention provides a rotating machine fault diagnosis method for improving H5N1-VMD-MFWA noise reduction, and belongs to the technical field of mechanical fault diagnosis, and the method comprises the steps: obtaining vibration signals of a rotating machine under normal and fault conditions; taking the minimum envelope entropy as a fitness function, and performing parameter optimization on variational mode decomposition by adopting an improved avian influenza virus algorithm to obtain an optimal parameter [K, alpha] combination; variational mode decomposition is carried out on the vibration signal based on the optimal parameter, and K intrinsic mode function components are obtained through decomposition; and according to the correlation coefficient, the kurtosis and the envelope entropy of each component, a comprehensive evaluation index is constructed through a multi-feature weighted attention mechanism, each component is endowed with a weight, a signal is reconstructed, and the reconstructed signal is subjected to window segmentation and input into a convolutional neural network model to complete fault diagnosis. According to the method, the fault diagnosis accuracy is effectively improved, and a guarantee is provided for safe operation of mechanical equipment.
Owner:SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
Numerical control machine tool main shaft bearing feature extraction method based on improved FMD
The invention discloses a numerical control machine tool spindle bearing feature extraction method based on improved FMD, and belongs to the technical field of rotating machine fault diagnosis. The method aims at solving the problems that traditional feature mode decomposition is high in parameter dependency and fault feature extraction is difficult under the noise background. The core of the method is that firstly, noise is added into a collected bearing vibration signal, and an ETO-FMD model is input; secondly, using an exponential trigonometric function optimization algorithm to take weighted envelope spectrum kurtosis as a fitness function, performing adaptive global optimization on the mode number M of the FMD and the length L of a filter, and automatically obtaining an optimal parameter combination; and finally, calculating a weighted envelope spectrum kurtosis value of each IMF component after FMD decomposition, and screening out the most critical component to perform signal reconstruction so as to realize accurate extraction of fault features. According to the method, the limitation of manually setting parameters is overcome, the accuracy, the adaptability and the robustness of feature extraction are remarkably improved, and the method is suitable for diagnosis of various faults of the spindle bearing of the high-end numerical control machine tool.
Owner:YANTAI HAIDE AUTOMOBILE SPARE PART CO LTD
Single-probe rotating blade vibration parameter identification method based on ESPRIT algorithm
The invention belongs to the field of rotating machinery blade vibration monitoring and feature extraction, and provides a single-probe rotating blade vibration parameter identification method based on an ESPRIT algorithm. Blade tip timing vibration signals and time signals of the blade are collected under the gas excitation working condition; constructing two groups of different dual-channel blade tip timing vibration sequences Series1 and Series2 by combining the sequence of the blade passing through the probe, and respectively calibrating the blade rotation angle of each sequence passing through the probe; frequency information identification is carried out on the constructed two groups of dual-channel blade tip timing vibration sequences to obtain estimated frequency information; and blade resonance frequency information calculation is carried out in combination with a frequency aliasing relation, vibration signal amplitude information solving is carried out in combination with a signal characteristic value, and blade vibration parameter identification is realized. According to the method, one probe is installed on the machine shell to complete identification of blade vibration information, the monitoring cost problem and the probe layout problem caused by the adoption of multiple probes are avoided, and the method has important practical application value.
Owner:DALIAN UNIV OF TECH +1
Sliding component
An annular sliding component disposed at a relative rotation point of a rotating machine, includes a plurality of positive pressure generation grooves arranged side by side in a circumferential direction on a sliding surface of the sliding component. The positive pressure generation grooves are configured for generating positive pressure by a sealing target fluid on the sealing target fluid side being introduced during the relative rotation of the sliding component and a sliding component. The positive pressure generation grooves have a plurality of leading edge portions at leading edges on a downstream side in a direction of the relative rotation. The plurality of leading edge portions are arranged side by side in the circumferential direction. At least part of the plurality of leading edge portions is disposed at different radial positions.
Owner:EAGLE INDS
Method and system for detecting composite fault of rotating machine under time-varying working condition
The invention relates to a rotary machine composite fault detection method and system under a time-varying working condition, and belongs to the technical field of rotary machine fault diagnosis. The method comprises the steps of collecting a non-stationary vibration signal under a variable speed working condition, fusing a third-order Renyi entropy and kinematics prior to construct an adaptive time-frequency enhancement model, and outputting weighted time-frequency distribution; global optimization is carried out through a priori constraint Viterbi algorithm, and an instantaneous frequency ridge line is extracted under the condition of no rotating speed sensor; performing angular domain resampling by taking the ridge line as a phase reference, and converting a non-stationary signal into an angular domain stationary signal; constructing an extended difference mode decomposition convex optimization model, and iteratively solving an optimal difference spectrum; and determining a frequency spectrum segmentation threshold value based on self-adaptive change point analysis, performing decoupling separation and time domain reconstruction on the optimal difference spectrum, and completing composite fault diagnosis through feature comparison. The method does not need an external tachometer, can adaptively extract and separate the composite fault features under the variable speed working condition, is high in diagnosis accuracy, and is good in engineering application value.
Owner:JIANGNAN UNIV
Detection of mechanical runout
PendingUS20260049810A1Using electrical meansConverting sensor output electrically/magneticallyMechanical componentsMechanical engineering
Disclosed herein are techniques for detecting runout of a rotating mechanical component. In example, detection of runout of a rotating mechanical component is performed using an angular position signal generated by a magnetic angular position sensor that is arranged for use in determining an angular position of the rotating mechanical component.
Owner:ANALOG DEVICES INT UNLTD CO
Class-level weighted robust sub-domain distribution alignment method for fault migration diagnosis of rotating machinery
The invention relates to a class-level weighted robust subdomain distribution alignment method for fault migration diagnosis of rotating machinery, and belongs to the technical field of intelligent operation and maintenance and fault diagnosis of high-end equipment and power machinery. The implementation process of the method is as follows: firstly, acquiring and preprocessing original vibration signals through a sensor to establish a data set; secondly, constructing a feature separation basic model containing shared and private encoders, and establishing an entropy-guided robust class-level weight selection mechanism; and finally, performing iterative training on the model by using a total loss function including classification loss, joint distribution alignment loss, difference loss and reconstruction loss, thereby realizing fault identification and diagnosis of the rotating machinery. The cross-domain fault diagnosis method can effectively overcome the interference of environmental noise and abnormal samples on the migration process, realizes finer sub-domain distribution alignment through decoupling features and robust weighting, and significantly improves the accuracy and robustness of cross-domain fault diagnosis.
Owner:CHONGQING UNIV OF TECH
Method for determining the deterioration tendency of an engine based on failure genes
PendingDE102024137552A1Internal-combustion engine testingSustainable transportationElectric machineMachine
The present invention solves the problems associated with a conventional method for determining the deterioration tendency of a rotating machine, namely, intersecting adjustments, low accuracy, reduced speed, and the inability to meet the requirement for a predictive lead value. According to the invention, a method for determining the deterioration tendency of a motor is provided based on failure genes. Based on the failure gene technique, the fundamental causes and characteristics of potential failures are evaluated, and a method for predicting the tendency is deeply integrated with failure models to provide a reference basis for more in-depth prediction of the tendency.According to the invention, two groups of signal processing methods are used to comprehensively capture information about the features in the failure signals in order to improve the ability to detect and evaluate different failure modes. The invention proposes a set of rules for detecting a trend model, comprising a standardized procedure for data collection and processing, a system of key figures for model evaluation and verification, and a strategy for model updating and optimization. This enables more efficient detection and adaptation of the trend model by the system and significantly increases the efficiency and reliability of establishing the trend model.
Owner:NORTHWESTERN POLYTECHNICAL UNIVERSITY SHAANXI PROVINCE
Dynamic balance state test system based on equipment operation data
The invention relates to the technical field of dynamic balance testing of rotating machinery, and discloses a dynamic balance state testing system based on equipment operation data, which comprises a synchronous sampling module, a fundamental frequency vector analysis module and an influence coefficient self-adaptive calibration module, the synchronous sampling module collects key phase pulses and original vibration signals of the rotating equipment; a fundamental frequency vector analysis module extracts an instantaneous rotating speed and a real-time fundamental frequency vibration vector; the influence coefficient self-adaptive calibration module stores a weight matrix representing rotor supporting characteristics, monitors a rotating speed fluctuation variance, corrects the weight matrix according to complex deviation of a vibration vector when the variance exceeds a preset threshold value, solves a net unbalance vector of the controlled rotating equipment, and outputs the net unbalance vector. According to the method, the rotating speed micro fluctuation in the operation process is used as an excitation increment source, and the sensitivity model reflecting the rotor bearing characteristics is constructed, so that the dynamic balance test gets rid of the limitation of adding a physical test weight, and the online test requirement under the continuous working condition is met.
Owner:ZHEJIANG XINGDAXUN SOFTWARE CO LTD
Rare earth magnet alloy, method of manufacturing same, rare earth magnet, rotor, and rotating machine
ActiveUS12562296B2Magnetic circuit rotating partsMagnetic materialsTetragonal crystal systemCrystal system
Provided is a rare earth magnet alloy having a tetragonal R2Fe14B crystal structure, including: a main phase containing, as main constituent elements, at least one kind selected from the group consisting of: Nd; La; and Sm, Fe, and B; and a sub-phase containing, as main constituent elements, at least one kind selected from the group consisting of: Nd; La; and Sm, and O, wherein La substitutes for at least one of a Nd(f) site or a Nd(g) site, wherein Sm substitutes for at least one of a Nd(f) site or a Nd(g) site, wherein La segregates in the sub-phase, and wherein Sm is dispersed in the main phase and the sub-phase without segregation.
Owner:MITSUBISHI ELECTRIC CORP
Rotary machine pump vibration data real-time analysis and early warning system based on edge side computing
ActiveCN121367639BPump testingSubsonic/sonic/ultrasonic wave measurementEnvironmental noiseAlgorithm
The present application relates to transmission link early warning technical field, disclose a real-time analysis and early warning system for rotating machine pump vibration data based on edge side calculation, include: capture the physical layer error code time sequence of transmission link and build the differential error code time sequence vector which removes the influence of absolute time drift;A dynamic rotating virtual electric vector space is constructed in the edge computing node, and the gradient ascent algorithm is used to optimize the target functional which measures the phase clustering strength, and the virtual space rotating frequency is adaptively adjusted to lock the best virtual frequency which makes the error code projection most concentrated;Based on the best frequency, the probability density distribution of error code phase is reconstructed by using kernel density estimation, and the generalized Renyi entropy is calculated as the characteristic of transmission error code phase clustering dispersion degree;By comparing the entropy characteristic with the dynamic threshold based on the environmental noise base, the transmission link abnormality is determined.
Owner:BEIJING DATONG HUIDE TECH CO LTD
A rotating machinery fault diagnosis method based on time-frequency domain joint modeling and self-supervised learning
The application discloses a rotating machinery fault diagnosis method based on time-frequency domain joint modeling and self-supervised learning, and belongs to the technical field of rotating machinery state monitoring and fault diagnosis, and comprises a vibration signal preprocessing module, a time-frequency domain joint feature modeling module, a self-supervised learning diagnosis module, a confidence check closed loop module and an incremental iteration optimization module; the vibration signal preprocessing module is used for receiving a raw vibration signal of rotating machinery, performing signal standardization preprocessing, generating three types of input data in a time domain, a frequency domain and a time-frequency domain, adaptively weighting fault sensitive dimensions through a channel attention mechanism, comprehensively representing fault evolution information, significantly improving fault feature distinguishability in a variable working condition and a strong noise scene, and guaranteeing the identification ability of early weak faults.
Owner:SUZHOU YIYAN PRECISION TECHNOLOGY CO LTD
Low friction coatings
A dry gas seal assembly for use with a rotating machine that includes a rotating shaft, the seal assembly comprises a seal face bears a solid coating comprising molybdenum disulfide, graphene oxide, and optionally polydopamine, preferably wherein the graphene oxide to molybdenum disulfide ratio is 8:10 to 10:8. A method for making a dry gas seal assembly comprises coating a homogeneous dispersion of graphene oxide and molybdenum disulfide on a seal face.
Owner:JOHN CRANE INC +1
Rotating machinery
The present invention provides a rotating machine in which the gear housing is less susceptible to the heat effects from the housing cover. The rotating machine (30) includes: a gear housing (36) housing a large gear (34) and a small gear (35); a housing cover (42) configured to form a gap between it and the back of an impeller (41); a drive shaft (43) inserted into a hole (42a) in the housing cover (42) and connecting the impeller (41) and the small gear (35); a mounting part (51) provided on a portion of the opposing surface (37a) of the outer side of the gear housing (36) opposite to the housing cover (42), which is annular or arc-shaped with the rotation center axis of the impeller (41) as the center; and a heat insulation member (53) clamped between the mounting part (51) and the housing cover (42).
Owner:KOBE STEEL LTD
A temperature regulation and parameter optimization design method for ring-down lubricated bearings
This invention belongs to the field of oil supply, lubrication, and cooling technology for aero-engine bearings. It provides a method for temperature control and parameter optimization design of under-ring lubricated bearings. The method includes: generating sample data on total heat generation, bearing element temperature, and oil slingering temperature of the bearing through experiments or simulations based on bearing structural parameters and operating condition parameters; constructing a predictive model with the parameters as input and thermal-fluid performance as output; quantifying the influence of input parameters using global sensitivity analysis, screening key design parameters, and constructing a multi-objective optimization model with the objectives of minimizing bearing element temperature control accuracy and total heat generation; solving the model to obtain the Pareto optimal solution set, and determining the optimal combination of structure and oil supply parameters that satisfies the oil slingering temperature safety constraint and bearing thermal reliability requirements while achieving optimal overall performance. This invention is applicable to the refined design of high-speed bearings in rotating machinery such as aero-engines, enabling precise temperature control and coordinated energy consumption optimization.
Owner:AECC SICHUAN GAS TURBINE RES INST
Rotary machine seal having a wear protection assembly with an abradable covering
A seal assembly for rotary machines having a wear protection assembly with an abradable covering. The wear protection assembly has one or more wear protection features that enable in-operation opening of the seal assembly by increasing a clearance between a seal rotor and a seal slider of the seal assembly. In particular, the wear protection assembly is configured to open the seal assembly and increase the clearance of the seal rotor and the seal slider during slider air-bearing wear conditions, slider counterbore wear conditions, rotor air-bearing wear conditions, or extreme vibration wear conditions. Under such or similar wear conditions (or under conditions preceding or leading up to a wear condition), the wear protection assembly yields a pressure gradient and / or a fluid flow that oppose the forces acting to decrease the clearance between the seal rotor and the seal slider.
Owner:GENERAL ELECTRIC CO