Innovative approaches to overcome inadequate measurements in heat pumps with non-fluorinated refrigerants

Y Song, M Caramaschi, D Rolando… - Energy Conversion and …, 2024 - Elsevier
As the transition away from fluorinated refrigerants occurs due to F-gas and PFAS
regulations, heat pumps face the challenge of adapting to new non-fluorinated refrigerants …

[HTML][HTML] Development of map-based models for the performance characterization in a new prototype of Dual Source Heat Pump

J Marchante-Avellaneda, E Navarro-Peris… - Applied Thermal …, 2024 - Elsevier
This paper presents the development of accurate map-based models for characterizing a
new Dual Source Heat Pump prototype. This unit includes three braze plate heat …

Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective

J Zhang, K Qian, H Luo, Y Liu, X Qiao, X Xu… - Control Engineering …, 2025 - Elsevier
Accurately monitoring the safe operation and dynamometer diagram inference of tower
pumping units is crucial for process monitoring on drilling platforms. This paper proposes an …

Evaporating temperature estimation of refrigeration systems based on vibration data-driven soft sensors

ASB de Siqueira Nascimento, JPZ Machado… - International Journal of …, 2024 - Elsevier
The evaluation of the operating conditions of refrigeration compressors once installed in
household appliances is challenging due to the need to install pressure transducers, a …

[PDF][PDF] Fault detection and diagnosis by machine learning methods in air-to-water heat pumps: Evaluation of evaporator fouling

S Borges, L Jöhnk, T Klebig, C Vering… - Proceedings of ECOS …, 2023 - researchgate.net
Heat pumps have emerged as key technology to pave the way for a sustainable heat supply
in buildings. However, the ongoing shortage of trained experts counteracts the current heat …

Soft-sensor estimation via parameter fitting and dynamic optimization in an experimental batch butadiene homopolymerization reactor

A Flores-Tlacuahuac, E Saldívar-Guerra… - Computers & Chemical …, 2024 - Elsevier
In this work, we address modeling and experimental tasks to develop an industrial process
for the anionic polymerization of butadiene, which is a key compound used in the production …

Optimization of submersible LNG centrifugal pump blades design based on support vector regression and the non-dominated sorting genetic algorithm Ⅱ

P Ma, L Li, B Wang, H Wang, J Yu, L Liang, C Xie… - Energy, 2024 - Elsevier
Optimizing the impeller blade design of submersible LNG centrifugal pump significantly
enhances mechanical efficiency, reducing energy consumption and carbon emissions …

[HTML][HTML] Soft-sensor model for indoor temperature prediction under heating conditions

F Xu, J Wang, K Sakurai, Y Sakai, S Sabu… - Thermal Science and …, 2024 - Elsevier
Temperature information is important in everyday life. However, the local temperature at a
certain point cannot be determined directly without using a physical thermometer, which can …

Research on soft sensor modeling method for complex chemical processes based on local semi-supervised selective ensemble learning

X Liu, L Li, F Zhang, N Li - Measurement Science and …, 2024 - iopscience.iop.org
To address the adverse effects of nonlinearity and dynamic time-varying in complex
chemical processes on the accuracy of the soft sensor model, a local-semi-supervised …

Missing data filling in soft sensing using denoising diffusion probability model

D Jiang, R Wang, F Shen, W Li - Measurement Science and …, 2023 - iopscience.iop.org
With the aim of addressing the problem of degradation in soft measurement accuracy due to
missing data in industrial processes, a filling method based on the denoising diffusion …