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Regulators faulted for inadequate compounding pharmacy oversight

American Journal of Health-System Pharmacy, 2013
D uring hearings in November, Congress faulted lapses in state and federal oversight of pharmacy compounding that might have contributed to the meningitis outbreak associated with allegedly tainted drugs produced by the New England Compounding Center (NECC) of Framingham, Massachusetts ...
openaire   +1 more source

Feature selection and interpretability analysis of compound faults in rolling bearings based on the causal feature weighted network

Measurement science and technology
Feature selection is a crucial step in fault diagnosis. When rolling bearings are susceptible to compound faults, causal relationships are hidden within the signal features. Complex network analysis methods provide a tool for causal relationship modeling
Chongchong Yu   +4 more
semanticscholar   +1 more source

Isolation and identification of rolling bearing compound faults based on adaptive periodized singular spectrum analysis and Rényi entropy

Measurement science and technology
Due to the coupling of multiple fault feature information and contamination of heavy background noise, it is a challenging task to accurately identify rolling bearing compound faults (RBCFs). A method for isolating and identifying the RBCF is proposed by
Shen Li   +4 more
semanticscholar   +1 more source

Imaging of polytypes and stacking faults in tetrahedral compounds

Acta Crystallographica Section A Foundations of Crystallography, 1983
The resolution attained with a JEOL 200CX electron microscope in top-entry configuration has allowed the direct elucidation of the structure of tetrahedrally bonded compounds. Computer simulation methods were used to calculate through-focus series of images at a range of thicknesses and the conditions for which structural features are interpretable on ...
A. F. Moodie, H. J. Whitfield
openaire   +1 more source

Multilabel Decoupling Diagnosis for Compound Faults by Improved Deep Q-Network

IEEE Transactions on Instrumentation and Measurement
In complex mechanical systems, compound faults generally result in more serious accidents than single faults. Deep reinforcement learning (DRL), which integrates the feature extraction capability and the decision-making ability, can autonomously conduct ...
Yi Qin, Xiwen Liu, Yongfang Mao
semanticscholar   +1 more source

A novel ITD-GSP-based characteristic extraction method for compound faults of rolling bearing

, 2020
The diagnosis of compound faults of rolling bearing is extremely difficult due to the nonlinearity and non-stationary of signal. With the purpose of extracting the compound faults from rolling bearings of aero-engine, efforts were made to integrate ...
Mingyue Yu, Xiang-xu Pan
semanticscholar   +1 more source

Compound fault prediction of rolling bearing using multimedia data

Multimedia Tools and Applications, 2017
Catastrophic failure of mechanical systems due to faults occurring on rolling bearing is still a great challenge. These faults, which are of multiple type, are compounded in nature. Vibration analysis of multimedia signals is one of the most effective techniques for the health monitoring of these bearings.
Sandip Kumar Singh   +2 more
openaire   +1 more source

A novel compound neural network for fault sources recognition

2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010
Independent component analysis (ICA) is a powerful tool for redundancy reduction and nongaussian data analysis. And, artificial neural network (ANN), especially the self-organizing map (SOM) based on unsupervised learning is a kind of excellent method for pattern clustering and recognition. By combining ICA with ANN, a novel compound neural network for
null Jiao Weidong   +4 more
openaire   +1 more source

Automatic quantitative diagnosis for rolling bearing compound faults via adapted dictionary free orthogonal matching pursuit

, 2020
Vibration signals of rolling bearings can reflect not only the concrete faulty component, but also the faulty status, e.g., the severity. Motivated by the fault status assessment, a sparse step-impact characteristic-oriented quantitative diagnosis method
Wentao Huang   +3 more
semanticscholar   +1 more source

Stacking-fault tetrahedra in ion-implanted III-V compounds

Proceedings, annual meeting, Electron Microscopy Society of America, 1987
The implantation of heavy ions into GaAs for the purpose of obtaining a shallow n-type layer has been studied in detail, The results obtained by Rutherford Backscattering and high-resolution electron microscopy show that the surface layer is amorphized during implantation and that the solid-phase epitactic regrowth gives rise to a surface layer ...
B.C. De Cooman, S. McKeman, C.B. Carter
openaire   +1 more source

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