Mechanical Systems and Signal Processing最新文献

{"title":"Dynamic model updating through reliability-based sequential history matching","authors":"J. Cheng ,&nbsp;F.A. DiazDelaO ,&nbsp;P.O. Hristov","doi":"10.1016/j.ymssp.2025.112689","DOIUrl":"10.1016/j.ymssp.2025.112689","url":null,"abstract":"<div><div>Computer models enable the study of complex systems and are extensively used in fields such as physics, engineering, and biology. History Matching (HM) is a statistical calibration method that accounts for various sources of uncertainty to update model parameters and align output with observed data. By iteratively excluding regions of the parameter space unlikely to yield plausible outputs, HM identifies and samples from the so-called non-implausible domain. However, a limitation of HM is that it does not yield full Bayesian posterior distributions for model parameters. Moreover, HM requires re-execution from scratch when new data is observed, lacking the ability to leverage prior results.</div><div>To address these limitations, we propose integrating sequential Monte Carlo (SMC) methods with HM to achieve full Bayesian posterior distributions for sequential calibration. The SMC framework offers a flexible and computationally efficient means to update previously constructed distributions as new data becomes available. This approach is demonstrated using an engineering example and a cardio-respiratory case study with sequential data.</div><div>Our results show that small perturbations to the posterior distributions can be effectively learned sequentially by updating computed posterior distributions through the SMC framework, thereby enabling dynamic and efficient model updating for evolving data streams.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112689"},"PeriodicalIF":7.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829519","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":"A Multi-conditional Prandtl–Ishlinskii model for nonlinearity compensation on the longitudinal-shear piezoelectric nanopositioning stage","authors":"Yixiao Yang ,&nbsp;Huazhou Kang ,&nbsp;Yunlang Xu ,&nbsp;Xiaofeng Yang ,&nbsp;Zhiping Zhang","doi":"10.1016/j.ymssp.2025.112681","DOIUrl":"10.1016/j.ymssp.2025.112681","url":null,"abstract":"<div><div>The longitudinal-shear piezoelectric nanopositioning stage (LSPNS) is a novel type of object positioning platform. It employs multi-degree-of-freedom piezoelectric stack actuators (PSAs), with LSPNS’s displacement driven by shear PSA and preload force adjusted by longitudinal PSA, rendering it highly valuable in real applications. However, during the motion of the LSPNS, the PSAs are continuously affected by various conditions such as frequency adjustment in speed regulation, preload force determined by loads, and temperature changes, which cause alteration in the dynamic nonlinear characteristics. The previous phenomenological models lack the ability to track the uncertainty of changing conditions, resulting in damage to the control accuracy of the LSPNS. In this paper, a Multi-conditional Prandtl–Ishlinskii (McPI) modeling method is proposed. It takes the advantage from material analysis to various impact factors, to build a model that combines both physics and phenomenology based on the PI model. An inverse model is then derived, and open-loop compensation for the LSPNS is ultimately achieved through feedforward control. Model fitting results demonstrate that the McPI model can accurately describe the alteration of piezoelectric nonlinear characteristics in changing conditions. Compensation results show that the average mean square error of the McPI model is decreased by 18.60% to 59.68%. Compared with other PI models, McPI model is proved to have the tracking ability to multiple conditions.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112681"},"PeriodicalIF":7.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835234","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":"An intelligent tool wear monitoring model based on knowledge-data-driven physical-informed neural network for digital twin milling","authors":"Xiaohui Fang ,&nbsp;Qinghua Song ,&nbsp;Xiaojuan Wang ,&nbsp;Zhenyang Li ,&nbsp;Haifeng Ma ,&nbsp;Zhanqiang Liu","doi":"10.1016/j.ymssp.2025.112736","DOIUrl":"10.1016/j.ymssp.2025.112736","url":null,"abstract":"<div><div>Digital Twin provides high-precision data fusion, real-time state prediction and optimized decision support in the machining process. A reliable tool wear monitoring (TWM) model is essential to ensure data accuracy within the digital twin system and to enhance the reliability of wear state assessments. However, existing monitoring models primarily consider the wear process constraints in the average sense and do not strictly ensure compliance with the underlying physical mechanism. To address this issue, a TWM model integrating the knowledge-data-driven physical-informed neural network (PINN) is proposed in the digital twin intelligent monitoring for the milling process. On the basis of considering the monotonicity of the wear evolution process, the potential mechanism of wear rate change is employed as a hard physical constraint to construct the physical information loss. A physically significant knowledge deviation is introduced to guide the learning process of the neural network, ensuring that the model output is mapped to a value domain strictly adhering to the physical mechanism, thus improving the physical consistency. The results of milling experiments under three different machining conditions demonstrate that compared to the traditional neural network, the proposed PINN model exhibits higher precision and generalization, reducing the average <em>RMSE</em> by 11.87 %, 10.35 % and 15.04 %, respectively. In addition, after the optimal model is trained offline, the response time from online data processing to obtaining the wear output is within 2 s, while the PINN model’s computation time is on the order of milliseconds. The PINN model provides real-time tool wear data for the digital twin intelligent monitoring system with a low-latency response and integrates with the decision support system to facilitate iterative optimization of the digital twin system, enabling intelligent prediction and maintenance.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112736"},"PeriodicalIF":7.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829520","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":"Time-varying damping ratio identification for structures subjected to traffic loads using signal stabilization technique","authors":"Fengzong Gong ,&nbsp;Woqin Luo ,&nbsp;Tiantao He ,&nbsp;Ye Xia","doi":"10.1016/j.ymssp.2025.112715","DOIUrl":"10.1016/j.ymssp.2025.112715","url":null,"abstract":"<div><div>The non-stationary traffic loads induce non-stationary structural responses, posing a significant challenge for the accurate identification of damping ratios. At the same time, the dynamic parameters of the vehicle-bridge system vary due to the vehicle-bridge interaction (VBI) effect. To address the issue of non-stationary structural responses in both amplitude and frequency under traffic loading, this paper proposes a signal stabilization technique to identify the time-varying damping ratio. The signal is stabilized over a short window, after which the structural parameter information is extracted by estimating the autocorrelation function. Two error suppression techniques are proposed. In combination with the time-varying autoregressive model, the damping ratio is recursively identified using Kalman filtering. The accuracy of the method was verified through numerical simulations, and the time-varying parameters of the VBI system were identified in laboratory experiments. Finally, the time-varying damping ratios of a real bridge were identified to verify the effectiveness of the method. The results demonstrate that the proposed method can identify the variation of the bridge damping ratio due to traffic loads, both in laboratory tests and analyses of real bridges. The proposed method provides a foundation for an in-depth study of damping ratios.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112715"},"PeriodicalIF":7.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835211","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":"An outline of Prognostics and health management Large Model: Concepts, Paradigms, and challenges","authors":"Laifa Tao ,&nbsp;Shangyu Li ,&nbsp;Haifei Liu ,&nbsp;Qixuan Huang ,&nbsp;Liang Ma ,&nbsp;Guoao Ning ,&nbsp;Yiling Chen ,&nbsp;Yunlong Wu ,&nbsp;Bin Li ,&nbsp;Weiwei Zhang ,&nbsp;Zhengduo Zhao ,&nbsp;Wenchao Zhan ,&nbsp;Wenyan Cao ,&nbsp;Chao Wang ,&nbsp;Hongmei Liu ,&nbsp;Jian Ma ,&nbsp;Mingliang Suo ,&nbsp;Yujie Cheng ,&nbsp;Yu Ding ,&nbsp;Dengwei Song ,&nbsp;Chen Lu","doi":"10.1016/j.ymssp.2025.112683","DOIUrl":"10.1016/j.ymssp.2025.112683","url":null,"abstract":"<div><div>Prognosis and Health Management (PHM), critical for preventing unexpected failures and ensuring task completion of complex systems, is widely adopted in the fields of aviation, aerospace, manufacturing, rail transportation, energy, etc. However, PHM’s developments and applications have been seriously constrained by bottlenecks like generalization, interpretation and verification abilities. Large Model (LM), a typical and powerful representation of generative artificial intelligence (AI), heralds a technological revolution with the potential to fundamentally reshape traditional technological fields. Its strong generalization and reasoning capabilities present opportunities to address those PHM’s bottlenecks existing. To this end, by systematically analyzing the current challenges and bottlenecks in PHM, as well as the advantages of Large Model, we propose a novel concept and corresponding three typical paradigms of PHM Large Model (PHM-LM) by the combination of the Large Model with PHM. Additionally, couples of feasible technical approaches for PHM-LM within the framework of the three paradigms are provided to address core issues confronting PHM and to bolster PHM’s core capabilities. Moreover, a series of technical challenges throughout the entire construction and application process of PHM-LM have been deeply discussed for further research recommendation. The comprehensive effort herein offers a comprehensive PHM-LM technical framework, and provides avenues for new methodologies, new technologies, new tools, new platforms and applications of PHM, which also potentially innovates design mode, research &amp; development mode, verification and application mode of PHM, i.e., from traditional customization to generalization, from discriminative approaches to generative methods, and from idealized conditions to practical applications.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112683"},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825508","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 of impact and vibration behaviours of composite honeycomb sandwich shell panels with foam reinforcement","authors":"Zelin Li ,&nbsp;Hui Li ,&nbsp;Yao Yang ,&nbsp;Chaohui Ren ,&nbsp;Haiyang Zhang ,&nbsp;Haijun Wang ,&nbsp;Jin Zhou ,&nbsp;Bo Zhou ,&nbsp;Zhongwei Guan","doi":"10.1016/j.ymssp.2025.112676","DOIUrl":"10.1016/j.ymssp.2025.112676","url":null,"abstract":"<div><div>The impact and vibration behaviours of composite honeycomb sandwich shell panels with foam reinforcement (RF-CHSSPs) are researched analytically and experimentally. Initially, a dynamic model of the RF-CHSSPs is created to predict the vibration and impact characteristics, with the equivalent Poisson’s ratio and elastic modulus of the core are determined to consider the effect of the ratio of honeycomb cells and foam. Time-domain minimum residual technique and Broyden iterative method are used to solve the natural frequency and resonant response by using von Karman’s theory and the high-order shear deformation shell principle. Also, based on the quasi-static method and modified failure criteria, the curves of impact displacement–time, load-time and load–displacement are plotted. Meanwhile, the low-velocity impact and base vibration excitation experiments are carried out on the prepared RF-CHSSP specimens to verify the accuracy of the established model and the vibration and impact suppression ability of foam on the composite honeycomb sandwich shell panels. The results show that the maximum calculated errors of impact displacement, load, natural frequency and resonance response are 5.1, 5.8, 4.7 and 9.0%, respectively. Moreover, for the specimens without foam reinforcement, the impact contact force of the RF-CHSSP specimens is improved by 13.2%, and the impact displacement and resonance response are reduced by 15.8 and 96.6%, respectively. The manufacturing technology, approach to problem resolution and valuable discoveries of current study show the way forward for the creation and application of such sophisticated shells.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":""},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828599","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":"A probability-preservation-based subdomain inverse mapping strategy for direct probability identification of random parameters in complex engineering systems","authors":"Xin Huang ,&nbsp;Meng-Ze Lyu ,&nbsp;Jian-Bing Chen ,&nbsp;Jie Li","doi":"10.1016/j.ymssp.2025.112651","DOIUrl":"10.1016/j.ymssp.2025.112651","url":null,"abstract":"<div><div>The response analysis of high-dimensional, nonlinear engineering systems under various excitations is inevitably associated with significant randomness and uncertainty. To assess engineering reliability accurately, a detailed stochastic model for the system must be developed first. However, some system parameters, such as those in modeling the nonlinear restoring force, cannot be directly measured and must instead be indirectly obtained through experiments. For engineering systems characterized by large-scale identical units or identical component units, it is feasible to acquire statistical system outputs, which consequently enables the probability identification of random parameters. Previous studies on the parameter identification of stochastic systems typically focused on identifying deterministic statistical quantities of the assumed certain probability-distribution forms. However, it is indeed difficult for these assumed distribution forms to accurately capture the true probability distribution to be identified. In this paper, the inverse probability problem is analyzed from the perspective of the principle of preservation of probability, and a probability-preservation-based subdomain inverse mapping (PPIM) strategy for direct probability identification is proposed. This strategy enables direct probability identification for random parameters, avoiding the assumption of certain probability-distribution forms. Under the PPIM strategy, a composite vector decomposition-combination (CDC) method is further developed to address the cases involving non-injective mappings. By assembling the composite vector and implementing the decomposition-combination iterations, the probability distribution of random parameters can be efficiently identified. Additionally, the incremental point-selection strategy, along with a global incremental point-selection (GIP) method and a local incremental point-augmentation (LIP) method, is developed in the numerical implement to realize the efficient reuse of sample data and significantly reduce the computational costs. Finally, several numerical examples are studied to demonstrate the efficiency of the proposed method in the probability identification of random parameters for engineering systems.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112651"},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825612","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":"Enhancing bandwidth of triboelectric vibration energy harvesters through magnetic tuning","authors":"Chaoyang Zhao ,&nbsp;Xin Li ,&nbsp;Liwei Dong ,&nbsp;Guobiao Hu ,&nbsp;Chengjia Han ,&nbsp;Yiqing Dong ,&nbsp;Liya Zhao ,&nbsp;Yaowen Yang","doi":"10.1016/j.ymssp.2025.112704","DOIUrl":"10.1016/j.ymssp.2025.112704","url":null,"abstract":"<div><div>This paper presents a novel design approach for ultra-wideband triboelectric vibration energy harvesters (UWBTVEH) by utilizing magnetic interactions to enhance performance. The triboelectric transducer operates through the coupled effect of two triboelectric layers, with nonlinear hardening and softening behaviors precisely controlled using both attractive and repulsive magnetic forces. This mechanism enables easy adjustment of beam resonances, resulting in a significantly broadened bandwidth. The approach is validated with a cost-effective UWBTVEH prototype comprising two cantilever beams, middle plates, magnet pairs and triboelectric transducers operating in a contact-separation mode. Nonlinear magnetic forces acting on the beams further influence the dynamic behavior of the triboelectric layers. Theoretical and experimental analyses demonstrate that the harvester, equipped with top and bottom magnet pairs at a 14 mm gap distance, achieves a bandwidth of 11.7 Hz under a base acceleration of 0.6 g. This performance marks a 72 % increase in the bandwidth compared to conventional triboelectric energy harvesters without magnet tuning under the same conditions. An electro-mechanical model was established and validated through experiments, demonstrating that the model effectively captures the key features of the harvester, including its wideband behavior, voltage output magnitude and asymmetric voltage signal. Furthermore, the energy generation capability of the UWBTVEH was demonstrated by powering an IoT sensing module, enabling wireless signal transmission. In summary, the proposed methodology offers valuable guidance for designing UWBTVEHs, making it particularly significant in applications involving variable-frequency energy sources.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112704"},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825494","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":"Cavitation intensity recognition for axial piston pump based on transient flow rate measurement and improved transfer learning method","authors":"Renyuan Wang ,&nbsp;Yuanzhi Xu ,&nbsp;Wenkan Mu ,&nbsp;Yucan Chen ,&nbsp;Zongxia Jiao","doi":"10.1016/j.ymssp.2025.112667","DOIUrl":"10.1016/j.ymssp.2025.112667","url":null,"abstract":"<div><div>Cavitation phenomenon occurred in the axial piston pump will lead to damages inside the pump as well as vibration and noise in the pipeline system, which makes the cavitation monitoring become a much concerned topic. Compared with the pressure pulsation, the flow ripple of the pump could reflect the cavitation intensity more directly, because the flow ripple is independent on the pipeline and the load valve. This paper proposes a temporal-spatial method of characteristics (TSMOC) to calculate the exact flow rate at the pump discharge, using two measured pressures along the pipeline. The basic idea is treating two pressures as the boundaries, achieving time-marching scheme of flow ripples within the boundaries and space-marching scheme towards the pump discharge port. The TSMOC is verified numerically compared with results of computational fluid dynamic (CFD) simulation. As such the pump’s flow rate is obtained based on measured pressures, and a flow dataset can be created for training the artificial neural networks. For pumps operate under various working conditions, a transfer learning method is introduced due to its strong domain adaption ability, to recognize new tasks with minimal additional training. However, the present transfer learning methods may not achieve high accurate performance because their feature extractors do not suit cavitation features. To improve the recognition accuracy, a novel method with dual path attention mechanism (DPAM) combined with the architecture of correlation alignment (CORAL) method, called DPAM-CORAL, is proposed. To validate the effectiveness of the flow dataset and the learning method, the test rig for the pump cavitation is established and experiments are carried out. The results indicate that the proposed DPAM-CORAL based on the flow dataset could achieve an average recognition accuracy of 98.0%, which is the highest among all the learning methods. It is also demonstrated that the cavitation recognition based on the flow dataset is more accurate than that based on the pressure dataset. The proposed TSMOC method and improved transfer learning method in this work are proven to be effective and accurate.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112667"},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825509","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":"A fully coupled model for tribo-dynamic performance analysis of gas foil bearing-rotor system during start-up","authors":"Xuewei Zhao ,&nbsp;Changlin Li ,&nbsp;Jie Li ,&nbsp;Jianjun Du ,&nbsp;Yong Lu","doi":"10.1016/j.ymssp.2025.112699","DOIUrl":"10.1016/j.ymssp.2025.112699","url":null,"abstract":"<div><div>The wear taking place on the top foil surface due to asperity contact with the rotor during start-up is a significant contributor to the failure of gas foil bearings. Hence, research on the start-up behaviors of foil bearings is crucial for improving structural design and extending service life. This paper presents a transient model to investigate the tribo-dynamic performance of foil bearing-rotor system during start-up, which comprehensively considers transient hydrodynamic pressure, deflection of the foil structure, dynamic motion of the rotor and multi-domain coupling effect. The Reynolds equation is formulated with consideration of the gas rarefaction and surface roughness effects. Both the top foil and bump foil are modeled using the beam elements, between which the close/loose contacts are considered. To alleviate time-lack issue and improve convergence, this model is numerically solved in a fully coupled manner. A test rig is established for validation. The simulations reveal that the hydrodynamic and asperity contact forces show obvious fluctuations in the initial period of start-up. Subambient pressure occurs within the gas film, causing the separations between the top foil and bumps. Besides, the effects of nominal clearance, acceleration time and surface roughness on the tribo-dynamic performance of foil bearing-rotor system during start-up are evaluated.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"232 ","pages":"Article 112699"},"PeriodicalIF":7.9,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824412","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}