1,720,952 research outputs found
Pengembangan Model Diagnosis Untuk Deteksi Kegagalan Mesin Menggunakan Algoritma Random Forest Dalam Klasifikasi Pembelajaran Mesin Berdasarkan Uji Non-Destructive Vibrasi
No full textBearing memiliki peran penting dalam industri karena memberikan dukungan mesin yang efektif dan tanpa suara. Bearing mengurangi gesekan di berbagai industri dan peralatan, seperti gearbox, rotating shaft, dan dryer sehingga memudahkan gerakan. Pengujian getaran non-destructive digunakan untuk melakukan predictive maintenance berdasarkan data vibrasi untuk mengetahui jenis kegagalan. Model Random Forest, jenis pembelajaran mesin, semakin populer karena lebih akurat dalam menemukan kegagalan pada sistem bearing karena cocok untuk kasus multiklasifikasi dengan dataset yang banyak. Penelitian ini bertujuan untuk memvalidasi model ini dengan data melalui simulasi dan eksperimental, serta untuk membentuk sistem yang dapat diandalkan untuk mendeteksi kegagalan pada sistem bearing. Pada penelitian ini, penulis membangun model diagnosis kegagalan menggunakan algoritma Random Forest dengan tambahan metode Recursive Feature Elimination – Cross Validation pada feature selection dan K-Folds Cross Validations untuk memvalidasi hasil model yang dibangun serta mengurangi bias dan mencegah adanya overfitting. Proses utama menggunakan data eksperimental secara langsung pada test rig melalui vibration meter tools Wilcoxon MAC800 type dengan mengambil sampel sebanyak 100 kali untuk setiap variasi kegagalan yaitu imbalancing, healthy, misalignment, dan outer ring pada objek bearing merk Timken seri X30304. Selanjutnya, algoritma yang telah dibangun akan diuji dengan subset data k=10 sebagai proses cross validation. Dari penelitian ini, model mampu mendeteksi jenis kegagalan dengan nilai akurasi diatas 95%. Dimana skor precision, recall, dan F1-score menunjukkan nilai rata-rata di 98.6%,98.5%, dan 98.4%, lebih besar dari penelitian terdahulu di 94.07%.
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Bearings are essential components in the industrial sector as they offer efficient and noiseless support for machines. Bearings mitigate friction in several sectors and equipment, including gearboxes, rotating shafts, and dryers, thereby facilitating motion. Vibration testing that does not cause damage is employed for predictive maintenance by analyzing vibration data to identify different sorts of failures. The Random Forest model, a machine learning algorithm, is gaining popularity due to its high accuracy in detecting problems in bearing systems. This is attributed to its effectiveness in handling multiclassification scenarios with big datasets. The objective of this study is to test the proposed model by using simulation and experimental approaches with data. The purpose is to build a dependable system for detecting faults in bearing systems. The author of this study constructs a failure diagnosis model by employing the Random Forest algorithm. Additionally, the Recursive Feature Elimination – Cross Validation technique is utilized for feature selection, and K-Folds Cross Validation is employed to validate the model outcomes, minimize bias, and prevent overfitting. The primary procedure utilizes empirical data obtained from a test rig using Wilcoxon MAC800 type vibration meter equipment. The approach involves collecting 100 samples for each failure variant, namely imbalance, healthy condition, misalignment, and outer ring failure, specifically on Timken brand bearings series X30304. Afterwards, the constructed method will undergo testing using subsets of data with k=10, as part of a cross-validation. From this research, the model is capable of detecting failure types with an accuracy rate above 95%. The precision, recall, and F1-score metrics show average values of 98.6%, 98.5%, and 98.4%, respectively, which are higher than the previous research at 94.07%
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
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
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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