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This work has been partially funded by projects RTI2018-094849-BI00 and PID2021-124383OB-I00 of the Spanish National Plan for Research, Development and Innovation.

Remaining useful lifetime (RUL) predictions of electric motors are of vital importance in the maintenance and reduction of repair costs. Thanks to technological advances associated with Industry 4.0, physical models used for prediction and prognostics have been replaced by data-driven models that do not require specialized staff for feature selection, as the model itself learns what features are important. However, these models are usually trained and tested with the same datasets. That makes it difficult to reuse models with different datasets, so they should be retrained with data from the specific motor being analyzed. This paper presents a novel and robust health prognostics technique that predicts the remaining useful lifetime of the bearings of electric motors under different motor conditions (shaft frequency, load, type of bearing) without retraining or fine-tuning the model used. The model integrates the frequency-domain signal analysis and a stacked autoencoder (SAE) with a bidirectional long short-term memory (BiLSTM) neural network. The proposed model is trained with the IMS-bearing dataset and is then tested with IMS, FEMTO, and XJTU-SY datasets without retraining it, providing accurate results in all of them, and proving its robustness with different electric motors and work conditions.

Steps at metal surfaces may influence energetics and kinetics of catalytic reactions in unexpected ways. Here, we report a significant reduction of the CO saturation coverage in Pd vicinal surfaces, which in turn is relevant for the light-off of the CO oxidation reaction. The study is based on a systematic investigation of CO adsorption on vicinal Pd(111) surfaces making use of a curved Pd crystal. A combined X-ray Photoelectron Spectroscopy and DFT analysis allows us to demonstrate that an entire row of atomic sites under Pd steps remains free of CO upon saturation at 300 K, leading to a step-density-dependent reduction of CO coverage that correlates with the observed decrease of the light-off temperature during CO oxidation in vicinal Pd surfaces., We acknowledge financial support from the Spanish Ministry of Science and Innovation (Grants MAT-2017-88374-P, PID2019-107338RB-C63, PID2020-116093RB-C44), the Basque Government (Grants IT-1255-19), the Knut and Alice Wallenberg foundation (DNR KAW 2015.0058 ”Atomistic Design of new Catalysts”), and the Swedish Research Council (DNR 349-2011-6491 “Catalysis on the Atomic Scale”). Financial support is acknowledged from the Swedish Research Council (2016-5234). The DFT calculations were performed at C3SE (Göteborg) via a SNIC grant. We acknowledge MAX IV Laboratory support, in particular Alexei Preobrajenski, for their help in synchrotron experiments, which were carried out at the FlexPES beamline under Proposal 20190717. Research conducted at MAX IV, a Swedish national user facility, is supported by the Swedish Research council under contract 2018-07152, the Swedish Governmental Agency for Innovation Systems under contract 2018-04969, and Formas under contract 2019-02496. Moreover, the research leading to this result has been supported by the project CALIPSOplus under the Grant Agreement 730872 from the EU Framework Programme for Research and Innovation HORIZON 2020.

This work has been partially funded by the project RTI2018-094849-B-I00 of the Spanish National Plan for Research, Development and Innovation, Spain

Spanish National Plan of Research, Development and Innovation under the project OCAS [RTI2018-094849-B-I00]; Spanish Ministry of Science and Innovation through the Centre for the Development of Industrial Technology (CDTI) [CEL.IA (CER-20211022)]

Curved crystal surfaces enable the systematic and accurate comparison of physical and chemical processes for a full set of vicinal crystal planes, which are probed in the very same environment. Here, we examine the early stages of the CO chemisorption on vicinal Rh(111) surfaces using a curved Rh crystal that exposes a smoothly variable density of {100} (A-type) and {111} (B-type) steps. We readily identify and quantify step and terrace species by resolving their respective core-level lines using X-ray photoelectron spectroscopy at different locations on the curved surface. Uptake experiments show similar sticking probabilities at all surface planes, subtle asymmetries between A- and B-type steps, and significantly lower saturation coverage at densely stepped surfaces as compared to the (111) plane. The analysis of the C 1s intensity variation across the curved sample allows us to discuss the adsorption geometry around the step edge., We acknowledge financial support from the Spanish Ministry of Economy (Grants MAT-2016-78293-C6, MAT-2017- 88374-P), Basque Government (Grant IT-1255-19), the VR funded Röntgen−Angström collaboration “Catalysis on the atomic scale” project number 349-2011-6491, and the Knut and Alice Wallenberg (KAW) funded project “Atomistic design of new catalysts” project number KAW 2015.0058.

The catalytic oxidation of CO on transition metals, such as Pt, is commonly viewed as a sharp transition from the CO-inhibited surface to the active metal, covered with O. However, we find that minor amounts of O are present in the CO-poisoned layer that explain why, surprisingly, CO desorbs at stepped and flat Pt crystal planes at once, regardless of the reaction conditions. Using near-ambient pressure X-ray photoemission and a curved Pt(111) crystal we probe the chemical composition at surfaces with variable step density during the CO oxidation reaction. Analysis of C and O core levels across the curved crystal reveals that, right before light-off, subsurface O builds up within (111) terraces. This is key to trigger the simultaneous ignition of the catalytic reaction at different Pt surfaces: a CO-Pt-O complex is formed that equals the CO chemisorption energy at terraces and steps, leading to the abrupt desorption of poisoning CO from all crystal facets at the same temperature., We acknowledge financial support from the Spanish Ministry of Science and Innovation (Grants MAT-2017-88374-P, PID2019-107338RB-C63, PID2019-107338RB-C66), the Basque Government (Grants IT-1255-19, IT-1246-19), the Knut and Alice Wallenberg foundation (DNR KAW 2015.0058 „Atomistic Design of new Catalysts“) and the Swedish Research Council (DNR 349-2011-6491 „Catalysis on the atomic scale“).

This paper presents a non-tubular heat exchanger for use in a Stirling solar engine micro co-generation unit that is being developed by the University of Oviedo and the technological research centre Tekniker Foundation. The engine has been designed using scaling criteria, which imply a case of relaxed dynamic similarity, that is to say, without preserving the equality among all of the prototype’s and the derivative’s dimensionless groups. The geometrical characteristics of the heater are described and the variables that can influence the pressure drop and heat transfer in the heater are identified. The correlations for the friction factor and Stanton number have been measured under steady flow conditions to analyse the feasibility of the experimental heater. The Reynolds analogy is not fulfilled, and the compressibility effects are negligible. The comparison between the correlation predictions for the non-tubular heater and slotted or tubular heaters of well-known prototypes shows possible applications for heaters that reach high Reynolds numbers and that encounter practical problems associated with the use of bundles of tubes.