Application of Raman and Photoluminescence Spectroscopy to MgO‐C Refractories
Visible to near infrared luminescence of MgO is studied on MgO‐C bricks and nominally pure MgO powder, with focus on two similar sharp high‐intensity signals, at 699 and 871 nm, each surrounded by symmetrical sidebands. The nature of these sidebands is investigated by temperature‐dependent spectroscopic measurements, confirming phonon involvement by ...
Julia Richter +5 more
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Dual-branch spatio-temporal graph network for bearing fault diagnosis. [PDF]
Wang Y, Li Y, Li C, Dai Q.
europepmc +1 more source
Nickel‐based alloys are widely used in high‐temperature applications due to their excellent mechanical strength and oxidation resistance. However, properties such as high‐temperature strength and pronounced work‐hardening make them difficult to machine.
Soheil Rooein +2 more
wiley +1 more source
Explainable LSTM-AdamW based fault diagnosis of aircraft rotating components using airborne acoustic signals under dynamic operating conditions. [PDF]
Özüpak Y, Aslan E, Zaitsev I.
europepmc +1 more source
Online Sensor Fault Detection Using Machine Learning Algorithms on a Laboratory-Scale Batch Reactor: LSTM Approach. [PDF]
Lobo NC +5 more
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An LSTM architecture for real-time multi-domain stability boundary prediction beyond post-fault dependency in power systems. [PDF]
Shahriyari M +3 more
europepmc +1 more source
Research on a General-Type Hydraulic Valve Leakage Diagnosis Method Based on CLAF-MTL Feature Deep Integration. [PDF]
Tong C, Xiong Y, Xu X, Wu Y.
europepmc +1 more source
Probabilistic 3D lithology classification from elastic property volumes an advanced inversion workflow at Desouq Gas Field, West Nile Delta, Egypt. [PDF]
El Hateel MS +3 more
europepmc +1 more source
Physics-Informed Monotonic Conformer for Remaining Useful Life Prediction of Hydraulic Systems. [PDF]
He X +6 more
europepmc +1 more source
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Probabilistic fault prediction of incipient fault
2010 Chinese Control and Decision Conference, 2010In this work, a probabilistic fault prediction approach is presented for prediction of incipient fault in an uncertain way. The approach has two stages. In the first stage, normal data is analyzed by principle component analysis (PCA) to get control limits of the statistics of T2 and SPE.
Zhen Zhao +3 more
openaire +1 more source

