Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification. [PDF]
Quispe-Astorga A+6 more
europepmc +1 more source
Performance and Reliability Analysis of a Mobile Robot Using Cara Fault Tree
Vishal Mandal Manjish Adhikari
openalex +1 more source
RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg+5 more
wiley +1 more source
Design of a novel noise resilient algorithm for fault detection in wind turbines on supervisory control and data acquisition system. [PDF]
Irfan M+7 more
europepmc +1 more source
Topology Optimization Enables Freeform Matrix Fourier Optics
A topology‐optimized freeform metasurface is designed and fabricated to realize matrix Fourier optics, enabling the diffraction of multiple polarization states into distinct far‐field orders. By combining forward design with gradient‐based inverse optimization, high polarization contrast of up to 98.7% is achieved.
Yu‐Tzu Liu+5 more
wiley +1 more source
Reliability analysis of subsea pipeline system based on fuzzy polymorphic bayesian network. [PDF]
Liu C+9 more
europepmc +1 more source
Magnetic Steganography Based on Wide‐Field Diamond Quantum Microscopy
This document illustrates magnetic steganography. Magnetic graphics, including pixel art and QR codes, are produced using magnetic materials (such as Ni) and obscure behind patterns manufactured using non‐magnetic materials (such as Au), which are unveiled through widefield quantum microscopy. Furthermore, manipulating the electron spin of NV with dual
Jungbae Yoon+7 more
wiley +1 more source
A mechanism-driven failure causality modeling approach for mechanical systems combining causal ordering theory and Ishikawa diagram. [PDF]
Yu H, Zhang W, Qu W.
europepmc +1 more source