1,720,955 research outputs found
Contribution au diagnostic des défauts de la machine asynchrone
Get PDFInduction motors (IMs) are prevalent in both industrial and domestic applications. The
implementation of an automatic condition monitoring system for IMs proves invaluable in
detecting faults at their initial stages. This proactive strategy aims to prevent machinery
malfunctions and potential catastrophic failures. Despite decades of research employing various
approaches for IM fault diagnosis, the accurate identification of faults remains a complex task
due to the intricate signal transmission paths and the influence of environmental noise. The
primary objective of this thesis is to create an innovative intelligent system that enhances the
reliability of health condition monitoring for induction motors (IMs) considering two cases: 1)
The first one aims to design an automated fault diagnosis system utilizing ANN models to
confront the complication of overlapping data in identifying broken rotor bar faults. Diverse
signal processing techniques are incorporated into the system to refine and optimize the
diagnostic accuracy for more effective fault detection. 2) The second one aims to create an
automated fault diagnosis based on conventional neural network models. In this part, we
focused on improving the performance of diagnostic systems. To this end, two solutions were
proposed. Firstly, we aim to reinforce the quality of the images by merging the data images
with the information map. Secondly, we focused on the architecture of an improved SqueezNet
model associated with an attention block, which gives high precision in image classification.
This model was validated by data relating to short-circuit and eccentricity faults. The results
obtained are surprisin
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Novel rotor fault diagnostic method based on rlmd and ht techniques
Get PDFFrequency domain analysis using the Fast Fourier transform (FFT) has been a popular method for diagnosing broken rotor bar (BRB) faults in squirrel-cage induction motors (IM). However, FFT analysis is limited by sampling frequency and time acquisition constraints, making it less effective under time-varying conditions. To overcome these difficulties, a novel BRB fault detection method for non-stationary conditions is proposed. The proposed strategy is based on the recently developed robust local mean decomposition (RLMD) and Hilbert transform (HT) methods. Using these techniques, the BRB characteristic frequency and amplitude component are obtained from only one phase stator current allowing automation of the features detection process. in fact, HT is used to extract the stator current envelope (SCE). Then, the SCE is processed by RLMD for determining the sub signals production functions (PFs). Finally, HT is applied to the most sensible PF to compute its instantaneous frequency and amplitude. The tracking of the BRB fault characteristic can inform us about the condition of the induction motor. The effectiveness of the proposed diagnostic strategy is validated through simulation conducted in the Matlab environment. The simulation results show the capability of this method to track accurately the frequency and amplitude of the 2sf component where f and s represent the fundamental stator current frequency and motor slip respectively10th International Conference on Computer Science and Information Technology (CSTY 2024), July 20 ~ 21, 2024, Toronto, Canad
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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