Results 121 to 130 of about 107,243 (264)
Comparing deep learning and Fourier series models for equipment failure prediction in predictive industrial maintenance 4.0. [PDF]
Abouloifa H, Bahaj M.
europepmc +1 more source
A family of amorphous palladium‐based multi‐component phosphides nanoparticles, synthesized via a robust one‐step wet‐chemical method, overcoming the immiscibility of different elements and the difficulty in forming a stable, disordered structure. When applied in the electrochemical nitrate reduction reaction, these nanocatalysts effectively suppress ...
Lei Xu +20 more
wiley +1 more source
Transforming Industrial Maintenance with Thermoelectric Energy Harvesting and NB-IoT: A Case Study in Oil Refinery Applications. [PDF]
Aragonés R, Oliver J, Ferrer C.
europepmc +1 more source
The active role of KCl as a neutral electrolyte enables switching the selectivity on a Cu organic framework from C1 to C2+ products during electrocatalytic CO2 reduction. ABSTRACT We introduce a copper‐nicotinate (Cu‐NA) framework as a halogenide‐stabilized Cu+/Cu0 pre‐catalyst for electrocatalytic CO2 reduction with high C2+ selectivity in a “neutral”
Anirudha Shekhawat +11 more
wiley +1 more source
This study addresses silicon anode degradation using an engineered nSi/Gr/C dual‐carbon matrix. By restricting SEI infiltration, the architecture redirects silicon agglomeration into a beneficial structural self‐adaptive activation. During cycling, silicon nanoparticles self‐organize into a resilient nanoporous sponge. This dynamic network accommodates
Wei Zhang +7 more
wiley +1 more source
Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
Predictive Maintenance : Predictive Maintenance for Industry 4.0
The rise of Industry 4.0 has transformed manufacturing by using technologies like IoT, big data analytics, and machine learning, with predictive maintenance (PdM) being key to anticipating equipment failures and optimizing maintenance. This thesis presents an integrated PdM framework tailored for Industry 4.0, aiming to improve equipment reliability ...
Joseph, Jins +1 more
openaire +1 more source
This study developed an amphiphilic ultrathin mesoporous adsorbent through microstructure design, which exhibits remarkable mass transport efficiency and high affinity toward PFAS, thereby achieving an ultrahigh uptake capacity and rapid kinetics for PFAS adsorption.
Yeqiu Zhao +11 more
wiley +1 more source
Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha +11 more
wiley +1 more source

