19684 research outputs found
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Cross-Condition Fault Diagnosis of Planetary Gearboxes Driven by Data-Model Fusion Based on Improved Domain-Adversarial Transfer Learning
No full textData-driven methods have been extensively applied in the intelligent fault diagnosis of planetary gearboxes. Building reliable deep learning models typically requires a substantial amount of labeled data. However, in real-world industrial environments, obtaining a large volume of sample data under various working conditions and for different types of faults is often challenging. Mechanistic models can generate simulated data under various working conditions and for different types of faults through numerical simulations, thereby addressing the issue of insufficient labeled data. However, the significant distributional discrepancies between simulated and measured data may compromise the diagnostic performance of the models. To address the aforementioned issue, this paper proposes an improved domain-adversarial neural network (DANN) model that integrates mechanism and data fusion for cross-condition fault diagnosis of planetary gear systems. First, a translation-rotation dynamics model considering the impact of crack faults is developed to generate simulation data, compensating for the deficiency of experimental data. Furthermore, envelope preprocessing is applied to reduce noise interference in the real data, while a DANN model with an integrated subdomain discriminator is designed. By aligning the conditional distributions of simulation and experimental data, classification accuracy and robustness are enhanced. Finally, the method is applied to the operational condition transfer of the 2K-H planetary gearbox, validating its diagnostic performance under different conditions. Comparative studies with classical models show that, even with limited data, the proposed method is capable of fault diagnosis under different operating conditions and demonstrates superior diagnostic accuracy compared to other methods.</p
When can cultural intelligence be effective for expatriate cross-cultural work adjustment?—A configurational approach
No full textThis study examines how cultural intelligence (CQ) impacts expatriate cross-cultural work adjustment under different boundary conditions. Specifically, drawing from trait-activation theory and adopting a configurational approach, we explore how CQ dimensions are combined and configured with cultural distance and perceived cultural novelty to influence expatriate work adjustment. Applying fuzzy-set Qualitative Comparative Analysis (fsQCA), the results from a survey of 106 expatriates in the Czech Republic indicate that five configurations are effective for high work adjustment under different conditions of cultural distance and perceived cultural novelty. In addition, three configurations explain low work adjustment. These findings demonstrate that expatriate work adjustment results from the complex interplays among expatriate CQ and the boundary conditions. This research advances the conceptual understanding of cultural intelligence and elucidates the mechanisms through which CQ facilitates expatriate cross-cultural work adjustment. It provides host companies with scenarios and templates for designing specific development programs for different types of expatriates in order to facilitate their work adjustment
Ernest Berk:A Musical Outsider - A Live Diffusion Concert
No full textErnest Berk: A Musical Outsider is a multichannel concert showcasing the work of pioneering electronic music composer Ernest Berk. As part of the AHRC-funded project “Ernest Berk: An Expressionist Outsider” the project team have meticulously restored Berk’s lost recordings made between 1957 and 1983. The performance crafts a unique experience of England’s unsung electronic music history
Unraveling the Smart Charging Technologies, Energy Sources, and Regulatory Standards for EVs
No full textElectric vehicles (EVs) are anticipated to be pivotal contributors to the global energy transformation in the automobile industry, ignited by their rapid proliferation. However, the widespread integration of EVs requires rigorous research and synthesis in charging solutions and EV supply equipment to meet the expected performance and improve ancillary services. Analysing the current landscape of EV charging technologies, it is essential to accelerate EV adoption by incorporating advanced control strategies that mitigate negative impacts and improve charging efficiency. Thus, this study presents a meticulous review that culminates in a curated anthology of 81 pivotal articles, with a predominant emphasis on charging EVs and associated technologies. The findings reveal extensive potential in this domain with our rigorous scrutiny of studies uniquely integrating all critical EV charging technologies, including their taxonomy, on-board and off-board charging infrastructures, and the global standards, and future research directions. The revelations of the study elucidate the prevailing paradigms within the EV research nexus, charting a course for future scholarly pursuits and practical applications.</p
The Buffering Activity of Ceria toward Reactive Oxygen Species:A Density Functional Theory Perspective
No full textNanocrystalline ceria exhibits nanozymatic activities, which are strongly affected by surface composition and surface Ce3+ concentration. Here, we use density functional theory to perform a scan of the compositional landscape of the most important {111}, {110}, and {100} ceria nanoparticle surfaces and their buffering activity toward reactive oxygen species (ROS) involved in the superoxide dismutase (SOD) and catalase (CAT) enzymatic mimetic activity of ceria. This study displays that pristine and surface sublayer oxygen-deficient surfaces can perform catalytic activities, whereas surface layer oxygen-deficient surfaces can only perform noncatalytic reactions as the oxygen vacancy is healed by ROS changing surface stoichiometry. Our findings corroborate conventional literature that higher concentrations of Ce3+ favor SOD, whereas Ce4+ favors CAT while also highlighting contributions of specific subprocess reactions. {111} surfaces perform best as fully oxidized (CAT) and fully reduced (SOD), while this is not the case for the {110} and {100} surfaces. As we follow plausible reaction mechanisms of SOD and CAT, we depict a complex situation highly dependent on the surface composition, which clearly implies that it is vital to control subprocess reactions for optimal buffering, and the desorption of products is a critical step in all reactions
Exploring women's lived experiences of Polycystic Ovary Syndrome, Overweight, and Obesity to develop and evaluate the feasibility of a novel intervention to increase physical activity and improve eudaimonic wellbeing
No full textTo link or not to link? Analysis of alternative and forest-based livelihood approaches within conservation programmes in the Global South
Get PDFExploring the Influence of Frequency Components in Acoustic Vehicle Alerting Systems for Electric Vehicles on Annoyance Perception
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