Mechanical Systems and Signal Processing最新文献

{"title":"Multi-domain data-driven chatter detection in robotic milling under varied robot poses based on directional attention mechanism","authors":"Xuexin Zhang ,&nbsp;Lianyu Zheng ,&nbsp;Wei Fan ,&nbsp;Lingjun Mao ,&nbsp;Ziyu Li ,&nbsp;Yansheng Cao","doi":"10.1016/j.ymssp.2025.112406","DOIUrl":"10.1016/j.ymssp.2025.112406","url":null,"abstract":"<div><div>Chatter detection is critical during robotic milling process as chatter severely limits its widespread application. However, the physical properties of a robot under different poses vary, resulting in a fluctuating probability of milling chatter, complicating chatter detection. This study proposes a multi-domain data-driven chatter detection method for robotic milling under various robot poses using a directional attention mechanism (DAM). The robotic milling process begins with the collection and analysis of multi-domain data, including time-domain cutting vibration data, frequency-domain passing frequency, and spatial-domain point-cloud data. The milling states were classified as stable, slight chatter, and severe chatter, with the power spectral density (PSD) of the cutting vibration data serving as the primary criterion for determining the milling state. In addition, this study proposes a method for suppressing the effective frequency components of the PSD to improve the chatter frequency discernibility. Second, a DAM is proposed to absorb multi-domain data. Based on this, a multi-scale chatter detection network (DAM-MSCDN) model is proposed. This model uses the multi-scale suppressed PSD as input and incorporates a DAM module to fuse the machined surface’s point cloud information. The designed DAM module effectively improved the model’s robustness and accuracy. Finally, different states of robotic milling in various poses were analyzed experimentally. In addition, the experimental results verified that the DAM-MSCDN model could accurately detect both high-frequency and low-frequency chatter in robotic milling under various robot poses.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112406"},"PeriodicalIF":7.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bayesian generative kernel Gaussian process regression","authors":"Sin-Chi Kuok ,&nbsp;Shuang-Ao Yao ,&nbsp;Ka-Veng Yuen ,&nbsp;Wang-Ji Yan ,&nbsp;Mark Girolami","doi":"10.1016/j.ymssp.2025.112395","DOIUrl":"10.1016/j.ymssp.2025.112395","url":null,"abstract":"<div><div>The Bayesian generative kernel Gaussian process regression (BGKGPR), a novel progressive probabilistic approach for nonparametric modeling with an optimal generative kernel, is proposed. In Gaussian process (GP) regression, a kernel is assigned to represent the similarity between the input data. Conventional kernels are assigned as the commonly used kernels with all input variables, and a trial-and-error procedure is applied to obtain the finalized kernel. However, an improper choice of the kernel type and/or redundant input variables can significantly degrade the modeling performance. To address this problem, the proposed approach provides a generative kernel augmentation scheme to develop the optimal kernel with the appropriate input variables. The scheme starts with a candidate kernel set. By adopting more features, these candidates evolve as augmented kernels. A Bayesian indicator is formulated to assess the performance of the potential kernels. Hence, the set of kernels that strike the optimal balance between fitting capacity and robustness is chosen for further enhancement. The generation procedure is conducted iteratively until further augmentation ceases to provide considerable improvement in the kernel performance. The proposed approach has three appealing features. First, the optimal kernel with the appropriate input variables can be generated. Second, the resultant kernel can be obtained efficiently in an automatic manner. Third, the uncertainty of all estimates can be quantified. To illustrate the efficacy of the proposed approach, two numerical examples and a case study with three-year continuous monitoring of a 22-story reinforced concrete building are presented.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112395"},"PeriodicalIF":7.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of a hybrid-mode piezoelectric actuator for compact robotic finger based on deep reinforcement learning","authors":"Di Chen ,&nbsp;Pengpeng Yu ,&nbsp;Guoqing Wang ,&nbsp;Xiangyu Liu ,&nbsp;Yan Ding ,&nbsp;Jiamei Jin","doi":"10.1016/j.ymssp.2025.112401","DOIUrl":"10.1016/j.ymssp.2025.112401","url":null,"abstract":"<div><div>In this study, we propose a novel hybrid-mode piezoelectric actuator for compact robotic finger and introduce a reinforcement learning-based design approach using Double Deep Q-Networks (Double DQN) for design of the hybrid-mode piezoelectric actuator. The experiment demonstrated that the Double DQN algorithm could learn a robust policy that minimized the modal frequency difference, achieving a minimum difference of 6 Hz, which was verified through FEM simulations. Due to the broad applicability of the modal frequency degeneracy requirement, this method provides a new approach for designing various hybrid-mode piezoelectric actuators. Furthermore, the robotic finger prototype, while maintaining a compact size, achieves an angular velocity of 330 deg/s and a fingertip force of 0.32 N under a driving voltage of 400 Vpp. These experimental results validate the effectiveness of the proposed driving method. Furthermore, the proposed actuator is well-suitable for modular assembly, allowing multiple actuators to be easily connected to form multi-joint and multi-finger structures, enabling the design of dexterous robotic hands. In future research, we plan to enhance the output force by increasing the number of PZT elements or employing a sandwiched design. Our findings highlight the potential of piezoelectric actuators, combined with reinforcement learning techniques, in the development of compact robotic hands.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112401"},"PeriodicalIF":7.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuous hierarchical symbolic deviation entropy: A more robust entropy and its application to rolling bearing fault diagnosis","authors":"Jie Zhou ,&nbsp;Shiwu Li ,&nbsp;Jinyan Guo ,&nbsp;Liding Wang ,&nbsp;Zhifeng Liu ,&nbsp;Tongtong Jin","doi":"10.1016/j.ymssp.2025.112409","DOIUrl":"10.1016/j.ymssp.2025.112409","url":null,"abstract":"<div><div>The entropy-based method has been proven to be an effective tool for extracting fault features of rolling bearings, but the method still suffers from the defects of being susceptible to the interference of sample length, signal amplitude, and noise, which prevents the fault features from being correctly extracted. To address these issues, a feature extraction method named continuous hierarchical symbolic deviation entropy (CHSDE) is proposed in this paper. Firstly, a new complexity quantization algorithm named Deviation Entropy (DE) is proposed. By measuring the distance of different templates in the phase space through the redefined deviation distance, DE effectively overcomes the interference of signal length and amplitude fluctuation in calculating the entropy value. The simulation experiment verifies that the deviation entropy has a more stable performance compared with other entropies. Secondly, the symbolic time series analysis is introduced and the symbol number adaptive strategy is constructed to determine the optimal number of symbols, which further enhances the noise-resistant performance of DE by extending it to extract features in the symbol domain. Thirdly, to enhance the DE’s ability to characterize features, an improved hierarchical analysis enables the DE to extract features at multiple time scales. Finally, the advantages of the proposed method are verified by two examples. Compared with other entropy methods, the proposed method achieves the highest accuracy.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112409"},"PeriodicalIF":7.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting mechanical properties of RX4E electric aircraft wing composite panels using deep learning","authors":"Jian Zang ,&nbsp;Duo Xu ,&nbsp;Kang Yang ,&nbsp;Xu-Yuan Song ,&nbsp;Zhen Zhang ,&nbsp;Ye-Wei Zhang ,&nbsp;Li-Qun Chen","doi":"10.1016/j.ymssp.2025.112398","DOIUrl":"10.1016/j.ymssp.2025.112398","url":null,"abstract":"<div><div>The building block verification system of the RX4E electric aircraft exhibits complexity and diversity in operational conditions at the foundational coupon level, accompanied by issues of experimental complexity and resource intensity. This paper investigates the effects of various environmental conditions (temperature, humidity) and layup methods through a series of experiments. On this basis, a feature-based multi-condition coupled mechanical performance prediction method (FMCPM) is proposed, which can extract spatiotemporal features from multi-condition data and establish the relationship between features and predicted outputs. In addition, features from room temperature data can be extracted and used to predict stress–strain curves under extreme conditions. Results indicate that compressive strength increases in cryogenic environments but decreases in high-temperature and high-temperature, humid conditions. Significant variations in mechanical properties are observed in various layup methods. The proposed model effectively predicts stress–strain curves under two coupling conditions and across three extreme environments and accurately estimates residual and failure loads. This research contributes to the foundation and methodology for real-time health assessment of future wing mechanical properties.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112398"},"PeriodicalIF":7.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Active aliasing ESPRIT: A robust parameter estimation method for low-intervention Blade tip timing measurement","authors":"Jiahui Cao ,&nbsp;Zhibo Yang ,&nbsp;Minyue Lu ,&nbsp;Liqin Lu ,&nbsp;Xuefeng Chen","doi":"10.1016/j.ymssp.2025.112392","DOIUrl":"10.1016/j.ymssp.2025.112392","url":null,"abstract":"<div><div>Rotating blades are critical but fragile components in aeroengine. Damage to rotating blades will sharply reduce the working efficiency and even endanger operational safety. Thus, it is significant to monitor the blades. Blade tip timing (BTT) is an emerging vibration measurement technique for rotating blades and is considered a promising approach for blade condition monitoring owing to its non-contact property and long service life. The key to BTT application is extracting vibration parameters from the measured signals that reflect the blade health condition. However, BTT signals are inherently undersampled and hard to analyze by traditional methods. Most existing BTT analysis methods require multiple probes, typically 4<span><math><mo>∼</mo></math></span>7 probes. Due to weight, safety, installation, and maintenance costs, it is desired to implement BTT measurement and extract vibration parameters with as few probes as possible. In this paper, we propose a low-intervention BTT measurement-based signal post-processing technique, termed AA-ESPRIT, which is a practical variant of classic ESPRIT. Remarkably, AA-ESPRIT overcomes the limitations of ESPRIT in BTT application and significantly improves the estimation accuracy by actively utilizing aliasing instead of hastily suppressing aliasing. Both numerical and experimental results show the effectiveness of AA-ESPRIT in the presence of measurement noise and speed fluctuation. In addition to satisfactory estimation performance, AA-ESPRIT can work with only two probes and lead to a low usage cost; thus, it is expected to have its place in the BTT field.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112392"},"PeriodicalIF":7.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint distribution Bures–Wasserstein distance based multi-source student teacher network for rotating machinery fault diagnosis","authors":"Fucheng Yan ,&nbsp;Liang Yu ,&nbsp;Ran Wang ,&nbsp;Xiong Hu","doi":"10.1016/j.ymssp.2025.112366","DOIUrl":"10.1016/j.ymssp.2025.112366","url":null,"abstract":"<div><div>Current research in across working conditions transfer fault diagnosis predominantly relies on single source domain adaptation, neglecting the extensive and diverse diagnostic data available from multiple domains in real-world applications. Furthermore, the joint distribution between fault features and classes is often overlooked in existing multi-source studies, resulting in model failures under varying operational conditions. To address these challenges, a novel multi-source domain diagnostic framework is proposed, leveraging optimal transport theory within a student-teacher learning network. Firstly, the joint distribution Bures–Wasserstein distance is formulated based on the second-order statistic cross-covariance operator, which explicitly models the mapping between fault features and fault labels while also constraining the distribution across different domains. Secondly, a student-teacher network is constructed, with the joint distribution Bures–Wasserstein distance successfully embedded to mitigate distributional discrepancies between domains, while a high-confidence pseudo-labeling strategy is devised to minimize the negative transferability of diagnostic knowledge. The effectiveness of the proposed method is validated using the parallel shaft gearbox and the bearing datasets, the results show that the proposed method has high diagnostic accuracy and robustness.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112366"},"PeriodicalIF":7.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"System identification of nonlinear structures through a parametrically varying transfer function approach","authors":"Cengizhan Taslicay ,&nbsp;Nidish Narayanaa Balaji ,&nbsp;Hemish Thakkar ,&nbsp;Matthew R.W. Brake","doi":"10.1016/j.ymssp.2025.112339","DOIUrl":"10.1016/j.ymssp.2025.112339","url":null,"abstract":"<div><div>The current work presents a methodology for the identification of weakly nonlinear structures using a quasi-linearized description. Quasi-linearization, in this context, refers to the fact that it is possible to approximate weakly nonlinear systems as linear systems parameterized by some measure of their response amplitude. The paper formalizes this by describing the forced response by an amplitude-dependent transfer function written in a rational fraction polynomial form. The coefficients are estimated through a regularized iterative identification approach based on frequency-domain measurements. An <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> regularization is used to promote sparsity/model simplicity, and a bi-objective optimization approach is developed for its tuning. Apart from serving to obtain an accuracy-sparsity trade-off, this procedure allows for a minimal realization of the transfer function that is also physically meaningful. Following analytical explorations on a Duffing oscillator, the developed framework is applied to three experimental benchmarks, encompassing geometrically nonlinear, frictional, and multi-physics interactions. The performance of the method is assessed in its ability to describe the fixed displacement forced response surfaces. Furthermore, the identified models are used to synthesize fixed excitation forced response and compared against measurements to obtain additional insights.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112339"},"PeriodicalIF":7.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation on impact behavior with viscous damping and tensile force inspired by Kelvin-Voigt model in granular system","authors":"Gengxiang Wang ,&nbsp;Matthias G.R. Faes ,&nbsp;Tengfei Shi ,&nbsp;Fuan Cheng ,&nbsp;Yongjun Pan","doi":"10.1016/j.ymssp.2025.112399","DOIUrl":"10.1016/j.ymssp.2025.112399","url":null,"abstract":"<div><div>This investigation proposes a continuous contact model with different viscous damping factors by employing the physical properties of the Kelvin-Voigt model. The viscous damping coefficient is treated as a function of the loss factor and frequency. The loss factor in the elastoplastic or plastic phase is obtained by solving the linear equation of motion, because the elastoplastic contact stiffness can be assumed to be approximately linear. The loss factor in the elastic phase is derived according to the energy conservation during impact. Two loss factors in the frequency-dependent damping coefficients govern the energy dissipation in the entire contact behavior. More importantly, the proposed contact model inherits the deficiency of the Kelvin-Voigt model, which exhibits a tensile force at the end of the recovery phase. The underlying reason for this phenomenon is revealed. Simultaneously, it is also explained why the tensile force does not affect the solitary wave propagation in the granular system. Performed simulations show that the proposed contact model not only sidesteps the numerical issues corresponding to most contact force models with hysteresis damping factors, but also compensates for the accuracy loss of the EDEM contact model when evaluating the elastoplastic contact behavior in the granular system.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112399"},"PeriodicalIF":7.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a novel passive rate-independent negative stiffness damping device for structural vibration control","authors":"Zian Tang ,&nbsp;Hao Luo ,&nbsp;Shuo Meng ,&nbsp;Hongping Zhu","doi":"10.1016/j.ymssp.2025.112397","DOIUrl":"10.1016/j.ymssp.2025.112397","url":null,"abstract":"<div><div>Rate-independent linear damping (RILD) has recently received increasing attention in the field of structural vibration control, because it is capable of providing selective damping to suppress the harmful earthquake-induced vibration of flexible structures. Many attempts have been made to develop causal approximated models for overcoming the challenge of the non-causality of RILD. However, the majority of existing literature on RILD is focused on theoretical and numerical studies. In the present study, a novel passive rate-independent negative stiffness damping (RINSD) model, which consists of a spring element in series with a parallel-arranged negative stiffness and viscous damping elements, was proposed to passively approximate the behaviour of RILD for structural vibration control. The proposed RINSD model was proved to be equivalent to a well-established causal model proposed in the previous study, and the former demands much smaller characteristic parameters for mimicking the rate-independent damping capacity of RILD. To passively realize the RINSD model, a small-scale prototype device was manufactured by using symmetrically arranged pre-compressed gas springs and a fluid viscous damping component, and the constitutive law of the device with its nonlinearity considered was developed. A large number of experimental tests were conducted to verify the rationality of the constitutive law, and comparison studies between the conceptual linear and physical nonlinear RINSD models were carried out to verify the feasibility of the developed device for passively implementing the rate-independent damping capacity. Furthermore, a five-story benchmark base-isolated building structure was employed as an analytical example, and comparison studies on the proposed RINSD, RILD, and commonly used damping models were conducted to identify the benefit of the RINSD incorporated into the base-isolated structure. It is suggested that the RINSD model can provide a viable approximation of RILD and be more effective than commonly used damping models in reducing the structural floor response acceleration and seismic input energy without compromising the isolator displacement.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"227 ","pages":"Article 112397"},"PeriodicalIF":7.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}