最新刊期
卷 48 ， 期 2 ， 2026
- 摘要：ObjectiveWith the advancement of automation and intelligence in industrial equipment, fault diagnosis of rotating machinery has become a critical component in ensuring the stable operation of equipment. Traditional diagnostic approaches, which often depend on expert knowledge and basic signal processing techniques, struggle to manage complex operating conditions and varied fault types. To address these challenges, a novel fault diagnosis framework was introduced, leveraging Gram angular field (GAF) image encoding and an enhanced gated WaveNet (GWaveNet) architecture.MethodsFirstly, the original one-dimensional bearing vibration signals were transformed into two-dimensional images via GAF encoding, effectively preserving temporal dependencies and dynamic signal variations. In this process, to mitigate issues related to data imbalance, techniques such as window segmentation, noise augmentation, and synthetic minority over-sampling technique (SMOTE) were employed, thereby increasing sample diversity and improving model's robustness and training efficacy. Secondly, the enhanced GWaveNet architecture integrated convolutional layers, residual connections, and multi-scale feature extraction mechanism, which collectively strengthen the network's capacity to recognize different fault patterns. Finally, test validation on the Case Western Reserve University (CWRU) public dataset was performed. The test results demonstrated that the proposed method can achieve high diagnostic accuracy under three operating conditions—normal, inner race fault, and outer race fault, while exhibiting strong generalization performance in complex operating conditions.ResultsThe results demonstrate that the proposed model exhibits high accuracy and robustness in fault diagnosis of rotating machinery, and can effectively address a wide range of fault types and uncertainties inherent in real industrial environments.关键词：Rotating machinery;Fault diagnosis;Deep learning;Gram angular field;Data enhancement19|52|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the limitation that single data domain models are difficult to accurately identify subtle fault features in gearbox fault diagnosis, a fault diagnosis method with multi-domain feature fusion under attention mechanism was proposed to improve diagnostic accuracy, stability and generalization ability.MethodsFirstly, dimensionless features and spectral features were extracted from the time domain and frequency domain of vibration signals. Secondly, deep time-frequency domain features were extracted by combining continuous wavelet transform with convolutional neural network (CNN). Then, an attention mechanism was introduced to dynamically weight and fuse multi-domain features, strengthening key features and weakening redundant information. Finally, a classifier was used to complete fault identification, and the effectiveness of the method was verified based on a secondary gearbox test dataset.ResultsTest results on a secondary gearbox test dataset show that the proposed method achieves a diagnostic accuracy of 99.77%, outperforming single-domain models and verifying its effectiveness and stability in identifying weak faults and adapting to multiple operating conditions.关键词：Gearbox fault diagnosis;Feature extraction;Attention mechanism;Multi-domain feature fusion0|0|0更新时间：2026-02-12
- 摘要：ObjectiveTo address the problems of difficulty in obtaining labeled fault data for mechanical equipment and low diagnosis accuracy caused by different probability distributions of cross-device data in actual production, a cross-device fault diagnosis method based on graph convolution and multi-sensor fusion, named convolutional domain graph convolution network (CDGCN), is proposed, realizing the unified modeling of class labels, domain labels, and data feature structures.MethodsFirstly, a convolutional neural network (CNN) was utilized to extract preliminary features from raw signals. Secondly, an instance graph was constructed by mining the feature structural relations among samples through a graph generation layer, and a multi-receptive field graph convolutional network (MRF-GCN) was employed for modeling to extract more expressive node features. Meanwhile, a high-level feature fusion method was proposed to achieve multi-sensor information integration. Finally, let the maximum mean discrepancy (MMD) metric, the classifier and the domain discriminator work synergistically to achieve domain adaptation (DA) through a minimax game.ResultsTest results show that the average accuracy of CDGCN reaches 75.33%, which is improved by 29.23, 30.35, 15.20 and 12.70 percentage points compared with the domain-adversarial neural network (DANN), conditional domain adversarial network (CDAN), joint adaptation network (JAN), and deep adaptation network (DAN) method, respectively. Ablation test verifies the effectiveness of multi-receptive field feature extraction, data feature structure modeling, and multi-sensor information fusion in improving transfer diagnosis accuracy.关键词：Graph convolutional neural network;Multi-sensor;Cross-device;Domain adaptation;Fault diagnosis78|132|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the characteristics of stable stage and degradation stage during the performance evolution process of bearings, this study realizes the prediction of the remaining useful life of rolling bearings.MethodsFirstly, considering that the random distribution of performance parameters in the stable stage is sometimes unknown, a bearing health condition monitoring and change point detection method based on the weighted variance-exponentially weighted moving average (WV-EWMA) control chart was proposed to identify the initial degradation time. Secondly, for the degradation stage, a degradation characterization model based on the Wiener process was established. Taking into account the individual differences of bearings, the failure threshold was assumed to be a random variable, and the remaining useful life distribution model of bearings was derived. Thirdly, the remaining useful life of rolling bearings were predicted online using the maximum likelihood estimation method and Bayesian theory. Finally, engineering verification was conducted via tests of type 16004 rolling bearings.ResultsThe results indicate that, compared to traditional methods, the prediction accuracy for the remaining useful life of rolling bearing of the proposed method is improved by at least 55.98%.关键词：Rolling bearing;Remaining useful life prediction;WV-EWMA control chart;Random failure threshold;Wiener process0|0|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the problems of complex parameter adjustment and limited prediction accuracy in traditional convolutional neural network-long short-term memory (CNN-LSTM) models, an improved remaining useful life prediction method was proposed to enhance the accuracy and stability of life prediction for in-service rolling bearings.MethodsFirstly, the golden sine strategy was integrated into the golden sparrow search algorithm (GSSA) to improve its global and local search capabilities, enabling adaptive optimization of key parameters in the CNN-LSTM model. Secondly, a feature screening system based on correlation, monotonicity, and robustness was constructed to select highly sensitive degradation features. Finally, using the PHM2012 bearing dataset, a GSSA-CNN-LSTM prediction model was established, and its effectiveness was validated through comparisons with back propagation (BP) neural network and CNN-LSTM model.ResultsThe results showed that the proposed GSSA-CNN-LSTM model reduced the root mean square error, mean absolute error, and mean square error by 67.61%, 83.71%, 80.89% and 61.18%, 78.78%, 51.02%, respectively, compared with the BP neural network and CNN-LSTM models, while the determination coefficient was closer to 1, demonstrating significant improvements in prediction accuracy and robustness.关键词：Rolling bearing;Golden sine strategy;Sparrow search algorithm;Remaining life prediction;Optimization0|0|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the problem of severe corrosion damage to casing during oilfield development, which compromises safe operation, a method for predicting the remaining useful life of casing was established to realize accurate prediction of the remaining useful life and safety assessment of casing with corrosion defects.MethodsBased on the von Mises equivalent stress yield criterion, a 3D coupled finite element model of the casing-cement sheath-formation system was established. The influence of corrosion pit depth and angle on stress distribution and collapse external load was systematically analyzed. Furthermore, a particle swarm optimization-Gaussian process regression (PSO-GPR) model was developed to predict casing corrosion rates using field data.ResultsThe results indicate that the Mises stress of the casing increases with corrosion depth and decreases as the corrosion pit angle enlarges due to the mitigation of stress concentration. The PSO-GPR model demonstrates superior prediction performance for corrosion rates, with an average fractional error of 0.78%. By integrating numerical mechanical analysis with artificial intelligence prediction, a comprehensive remaining useful life evaluation framework for corroded casings was established, providing a foundation for risk prevention in oilfield operations.关键词：Casing corrosion defect;Finite element analysis;PSO-GPR algorithm;Corrosion rate;Remaining useful life49|118|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the low dynamic solution efficiency caused by the complex structure, numerous substructures and connections, and a large number of nodes in the finite element model of aero-engine magazine, a super-element condensation method for the dynamic model of magazine structure with connections was proposed to achieve efficient and accurate solution.MethodsFirstly, a bolt-connected magazine was taken as the research object, and super-element substructures and residual structure were divided based on its physical connection structure. Secondly, external nodes on the connection surface were defined, and the super-element substructures were condensed to the connection surface of the residual structure. Then, each structure was assembled to obtain the condensed model. Finally, the effectiveness of the method was verified by a modal test using the hammering method.ResultsThe modal solution time of the condensed model was reduced from 623 s to 21 s, the maximum error of the simulation frequency before and after condensation was 0.79%, and the average error compared with the test frequency was 0.35%, which greatly improved the computational efficiency while ensuring high modeling accuracy.关键词：Aero-engine magazine;Super-element condensation;Connection structure;Finite element model;Substructure method0|0|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the problems that existing calculations of gear mesh stiffness and damping ignore the influence of elastohydrodynamic lubrication (EHL) or require solving complex EHL system equations, this study was conducted to establish a more practical dynamic model of gear transmission systems and explore the influence law of EHL on the mesh stiffness and damping of spur gears.MethodsFirstly, based on the stiffness fitting formulas for line contact elastohydrodynamic friction pairs, a modified Ishikawa formula was proposed, in which the Hertz contact deformation in the original Ishikawa formula was replaced by the contact deformation of elastohydrodynamic friction pairs. Secondly, combined with the damping formula for line contact elastohydrodynamic friction pairs, the influences of gear structural parameters and operating parameters were systematically studied. Finally, the effectiveness of the proposed method was verified through comparative analysis.ResultsAfter considering EHL, the mesh stiffness of spur gears was significantly lower than that calculated by the original Ishikawa formula, and both mesh stiffness and damping showed periodic changes along the meshing line; both increased with the increase of input torque and transmission ratio, and decreased with the increase of modulus and lubricating oil viscosity. The influence of EHL was more prominent under high-speed, light-load, big-modulus and high-viscosity working conditions.关键词：Spur gear;Elastohydrodynamic lubrication;Meshing stiffness;Meshing damping;Ishikawa formula2|0|0更新时间：2026-02-12
- 摘要：ObjectiveTo improve the accuracy of loads identification and responses reconstruction for the traditional multiplicative regularization method, an improved multiplicative regularization method considering the influence of measurement noise was proposed to identify the loads, and the responses were reconstructed using the identified loads.MethodsFirstly, the load identification and response reconstruction equations were constructed based on the state space model. Secondly, the singular entropy increment denoising of the measurement responses was carried out, the objective function was constructed to identify the external loads of the structure, the global weighting matrix was redefined, and the global smoothing operator that can be selectively modified according to the magnitude of the singular value was introduced to improve the degree to which the load satisfies the constraints. Thirdly, the iterative weighted least squares method was adopted to solve the objective function based on the denoised measurement responses and the transfer matrix, the stable solution of the load was obtained and the responses of the unmeasured positions were reconstructed. Finally, the numerical simulation and the test analysis for the simply supported beam model were carried out to verify the effectiveness of the proposed method.ResultsThe results show that the proposed method can improve the ill-posedness of the reconstruction equations, identify the loads accurately and reconstruct the dynamic responses of the unmeasured positions.关键词：Response reconstruction;Load identification;Singular entropy;Regularization0|0|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the periodic time-varying dynamic characteristics of static eccentric squeeze film dampers (SFD), a parameter identification method based on empirical wavelet transform (EWT) is proposed.MethodsThe EWT method was applied to identify the dynamic characteristics. The signal spectrum was adaptively divided to extract effective amplitude-modulation-frequency-modulation components with tightly supported Fourier spectra. Subsequently, the required time-varying stiffness and damping parameters were solved using the least squares method.ResultsSimulation results show that the proposed method accurately identifies the time-varying parameters of a single-degree-of-freedom system. Application to test data from bidirectional excitation tests of SFD demonstrates that the time-varying stiffness and damping parameters are captured more precisely. This method provides an effective approach for the design and optimization of squeeze film dampers.关键词：Squeeze film damper;Parameter identification;Empirical wavelet transform;Dynamic characteristics;Static eccentricity2|0|0更新时间：2026-02-12
- 摘要：ObjectiveTo suppress electromagnetic vibration and improve the operational smoothness of an internal fractional-slot direct-drive permanent magnet synchronous motor (PMSM), an electromagnetic vibration suppression scheme based on auxiliary slots in the stator teeth was proposed.MethodsFirstly, a two-dimensional motor model was established, and the electromagnetic force and its harmonic distribution characteristics under different operating conditions were systematically studied using a combined analytical and finite element analysis method. The natural frequencies of the stator structure were obtained through modal analysis, and the validity of the motor model was verified by combining the harmonic frequencies of the electromagnetic force. Subsequently, a magneto-structural coupling model was established to conduct harmonic response analysis, clarifying the influence mechanism of the electromagnetic force and its harmonic components on vibration characteristics. The effectiveness of the simulation model was verified through tests.ResultsThe results show that through the optimization design of auxiliary slots in the stator teeth, the electromagnetic vibration amplitude is reduced by 28.45%, and the torque ripple rate is reduced by 18.11%.关键词：Permanent magnet motor;Electromagnetic vibration;Electromagnetic force;Harmonic response analysis;Auxiliary slot4|0|0更新时间：2026-02-12
- 摘要：ObjectiveAiming at the problem that electronic devices of airborne equipment are prone to failure in vibration environments, a vibration suppression method was proposed to provide technical support for the anti-vibration design of devices.MethodsFirstly, the acceleration tolerance limit of the device was obtained through sweep frequency tests, and a multi-level finite element model of the airborne equipment was established to carry out random vibration analysis. Secondly, the optimization direction was determined based on the Steinberg method. With the goal of maximizing the natural frequency, Tosca software was used for the configuration optimization of the support panel, and Isight software combined with the multi-island genetic algorithm was used to complete the size optimization. Finally, a prototype was fabricated and the effectiveness of the method was verified through vibration tests.ResultsAfter optimization, the maximum acceleration root mean square of the device mounting panel decreased by 19.91%, the transmission rate dropped to 1.56, the coupling effect with the support panel was significantly weakened, and the equipment quality remained basically unchanged. No device failure occurred in the test, and the vibration suppression effect was remarkable.关键词：Airborne equipment;Anti-vibration design;Dynamic optimization;Vibration test;Transmission ratio4|0|0更新时间：2026-02-12
- 摘要：ObjectiveThis study aims to solve the fatigue cracking problem of integrated power management module (ODP) brackets in new energy vehicles during endurance testing by establishing a comprehensive vibration fatigue simulation and verification framework.MethodsLow-cycle strain fatigue behaviors of DC01 and B280VK materials were characterized using the Manson-Coffin-Basquin model. Time-domain acceleration road spectra were collected and accelerated into equivalent power spectrum density (PSD) based on the equivalent damage principle. Finite element models were constructed to analyze stress frequency response, and random vibration fatigue damage was calculated using Dirlik probability density functions and Miner's rule.ResultsThe results indicate that the initial design's maximum damage reaches 1.90, far exceeding the failure threshold of 1.0, with the predicted risk area matching the actual failure site. After structural reinforcement and material upgrading to B280VK, the maximum damage decreased to 0.10 and the fatigue safety factor increased to 10.0. The improved design successfully passed the 24 h accelerated bench test and 31 490 km vehicle road durability test without any visible fatigue cracks, confirming that the proposed method effectively mitigates vibration fatigue risks in the vehicle body domain.关键词：ODP bracket;Power spectrum density;Random vibration;Fatigue analysis;Test verification1|0|0更新时间：2026-02-12
·Vibration·Noise·Monitoring·Diagnosis·
- 摘要：ObjectiveMicro slip will occur at contact interfaces in threaded connection structures under transverse cyclic loading, causing looseness， damaging the performance of the system, and even leading to serious safety accidents. Taking the tightly threaded stud connection structure under transverse cyclic loading as the research object, the slip behavior of its contact interface was investigated by means of testing and finite element simulation, which can provide support for the reliability design of threaded connection structures.MethodsA self-driven sensor based on the principles of triboelectric nanogenerators was used to measure the rotational slip displacement of the nut and monitor the loosening of the stud. The finite element simulation was conducted to simulate the contact slips in the stud connection structure under transverse cyclic loads, and the slip behaviors of the nut bearing surface and the thread contact surfaces in the threaded connection structure under several different amplitude cyclic loads were investigated.ResultsThe results indicate that the nut bearing surface experienced complete slip, while the thread surface in contact with the lower connecting part only experienced local slip. All contact surfaces of the partial thread turns exhibited overslip at different moments within one load cycle, i.e., creep slip. As the number of load cycles increased, the number of thread turns that experienced creep slip would increase. Under the same preloading force, the larger the amplitude of transverse cyclic load, the earlier the whole threaded surface became creep slipping, and the faster the stud loosened.关键词：Threaded connection structure;Contact slip;Looseness;Test;Finite element method2|0|0更新时间：2026-02-12
- 摘要：ObjectiveA study was conducted to investigate the effects of temperature and strain rate on the mechanical properties of woven carbon fiber-reinforced thermoplastic composites, and to clarify the action laws of the two factors on the tensile and shear properties as well as the failure modes of the material.MethodsTaking the woven carbon fiber-reinforced polypropylene laminates prepared by the hot-press molding process as the research object, two types of tests were designed and carried out: one was the quasi-static test under different temperature conditions, and the other was the dynamic test under normal temperature environment. The mechanical property data of the material were obtained through systematic testing and analysis.ResultsIt was found from the study that the tensile elastic modulus, tensile strength and shear modulus of the material showed a consistent variation trend: they decreased gradually with the increase of temperature and increased gradually with the increase of strain rate. However, the shear strength exhibited a special difference: the quasi-static shear strength was significantly higher than the dynamic shear strength. This phenomenon was closely related to the post-yield hardening behavior caused by fiber rotation. In addition, significant effects of temperature and strain rate on the failure modes of both tensile specimens and shear specimens were observed.关键词：Temperature;Strain rate;Woven carbon fiber;Thermoplastic composite;Mechanical property2|0|0更新时间：2026-02-12
- 摘要：ObjectiveTo obtain metal implants with mechanical properties close to those of human bone and to understand the laser melting forming mechanism.MethodsFirst, porous rhombic structures with a designed porosity of 80% were fabricated using stainless steel 316L via selective laser melting. Second, orthogonal tests were conducted with three different values for each of the three process parameters: laser power, scanning speed, and hatch spacing, resulting in 9 samples. Finally, the samples were subjected to annealing at 800 ℃ followed by compression testing.ResultsThe average Vickers hardness is 210.34 HV, the average elastic modulus is 4.84 GPa, the average yield strength is 8.66 MPa, and the average ultimate tensile strength is 440.99 MPa. Laser power has the most significant influence on Vickers hardness, elastic modulus, and yield strength, while hatch spacing has the most significant influence on compressive strength. The results indicate that the mechanical properties of this porous structure are consistent with those of elastoplastic materials, exhibiting high hardness and strength. Its elastic modulus is 97.52% lower than that of dense material, approaching that of human bone. This conclusion provides a reference for research on the mechanical properties of metal implants.关键词：Selective laser melting;Stainless steel 316L;Porous structure;Elasto-plastic model;Mechanical property4|0|0更新时间：2026-02-12
- 摘要：ObjectiveTo investigate the hardness and wear resistance of 18CrNiMo7-6 alloy steel and its surface modification layer after carburizing heat treatment.MethodsRepeated scratch tests were conducted using a Vickers indenter on both the 18CrNiMo7-6 alloy steel substrate and the surface modification layer with varying normal loads and number of scratch cycles. Material damage as the scratch cycles increased was observed using the optical microscope. Scratch morphological characteristics, including scratch width, residual depth, and pile-up height, were measured using a three-dimensional profilometry system. Additionally, scratch hardness and wear rate were analyzed.ResultsThe results show that both the scratch width and residual depth of the 18CrNiMo7-6 alloy steel substrate and surface-modified layer increased linearly with the number of scratch cycles. Due to the work-hardening effect induced by repeated scratching, the pile-up height also increased with the number of scratch cycles, although the rate of increase gradually diminished. The scratch width, residual depth, pile-up height, and wear rate of the 18CrNiMo7-6 alloy steel substrate were significantly higher than those of the surface-modified layer, while the scratch hardness was notably lower than those of the surface-modified layer. These findings suggest that the carburized surface-modified layer of 18CrNiMo7-6 alloy steel exhibits superior scratch hardness, a reduced wear rate, and significantly enhanced wear resistance compared to the substrate. The results can provide guidance for research on the construction and performance evolution of surface modification layer.关键词：Repeated scratch test;Scratch response;Surface modification layer;Scratch hardness;Wear rate4|0|0更新时间：2026-02-12
- 摘要：ObjectiveThis study aims to investigate the influence of multiple cyclic phase transitions on the micro-structure and low-temperature mechanical properties of 18Ni(250) ultra-high-strength steel to meet the stringent requirements of low-temperature wind tunnel tests.MethodsAn ultra-pure melting simulation model for vacuum induction and vacuum consumable smelting was constructed using MeltFlow software. The formation mechanism of the micro-structure inside the molten pool was analyzed and discussed. Based on the derived optimal parameters, the test steel was obtained through ultra-high-purity smelting. Subsequently, the steel was subjected to multiple cyclic phase transitions at 940 ℃, 900 ℃, 860 ℃ and 820 ℃, followed by conventional aging treatment.ResultsThe results demonstrate that using a flow rate lower than 4.6 kg/min leads to an ingot with low segregation and low inclusions, which significantly improves the plastic toughness of 18Ni(250) steel. After undergoing the specific cyclic phase transitions, the original austenite grain size is notably refined to 12 μm. Consequently, the steel exhibits excellent mechanical properties under low-temperature and high-load conditions, characterized by the successful combination of ultra-high strength and high plasticity.关键词：Simulation;18Ni(250) steel;Heat treatment;Cyclic phase transition;Low-temperature mechanical property2|0|0更新时间：2026-02-12
·Experimental Research·Testing Technology·
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