16,172 research outputs found

    Identifying prognostic indicators for electrical treeing in solid insulation through pulse sequence analysis

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    Predictive maintenance attempts to evaluate the condition of equipment and predict the future trend of the equipment's aging, in order to reduce costs when compared to the two traditional approaches: corrective and preventive maintenance. This prediction requires an accurate prognostic model of aging. In solid insulation, the ultimate goal of prognostics is to predict the advent of failure, i.e., insulation breakdown, in terms of remaining useful life (RUL). One fault is electrical treeing, which is progressive thus leading to potentially catastrophic failure. Research has shown that diagnosis of faults can be achieved based on partial discharge (PD) monitoring [1], i.e., phase-resolved and pulse sequence analysis (PSA). This work will explore the extension of this concept towards predicting evolution of the defect: moving beyond diagnostics towards prognostics. To do this, there is a need for further investigation of prognostic features within PD characteristics leading up to breakdown. In this work, a needle-plane test arrangement was set up using a hypodermic needle and pre-formed silicone rubber as test samples. The visual observations and tree growth measurements were made using a digital microscope. PD data was captured using a radio frequency (RF) sensor and analysed using PSA. The main idea of the PSA approach is the strong relationship between two consecutive pulses caused by PD activities, which can give an understanding of the local degradation processes [1]. As for electrical treeing, a breakdown indicator in PSA is the appearance of heavily clustered data points that lie diagonally in scatter plots of the differential ratio of voltage and time of consecutive charges (Un = Δun/Δtn) [2,3]. Figure 1 shows an example of a plot that changed to a diagonal line after 14 hours of aging time. This paper investigates the formation of the diagonal line based on the distribution of the plot from the start of electrical treeing until breakdown occurs. Finally, statistical features of the PSA plot are given and will be used for lifetime prediction of insulation samples in future work

    Size versus truthfulness in the house allocation problem

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    We study the House Allocation problem (also known as the Assignment problem), i.e., the problem of allocating a set of objects among a set of agents, where each agent has ordinal preferences (possibly involving ties) over a subset of the objects. We focus on truthful mechanisms without monetary transfers for finding large Pareto optimal matchings. It is straightforward to show that no deterministic truthful mechanism can approximate a maximum cardinality Pareto optimal matching with ratio better than 2. We thus consider randomized mechanisms. We give a natural and explicit extension of the classical Random Serial Dictatorship Mechanism (RSDM) specifically for the House Allocation problem where preference lists can include ties. We thus obtain a universally truthful randomized mechanism for finding a Pareto optimal matching and show that it achieves an approximation ratio of eovere-1. The same bound holds even when agents have priorities (weights) and our goal is to find a maximum weight (as opposed to maximum cardinality) Pareto optimal matching. On the other hand we give a lower bound of 18 over 13 on the approximation ratio of any universally truthful Pareto optimal mechanism in settings with strict preferences. In the case that the mechanism must additionally be non-bossy, an improved lower bound of eovere-1 holds. This lower bound is tight given that RSDM for strict preference lists is non-bossy. We moreover interpret our problem in terms of the classical secretary problem and prove that our mechanism provides the best randomized strategy of the administrator who interviews the applicants

    Kritik Sosial Dalam Novel Detik- Detik Cinta Menyentuh Karya Ali Shahab Sebuah Tinjauan Sosiologi Teks

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    Sesuai dengan permasalahan dalam penelitian ini, yaitu mengamati kritik sosial dalamkarya sastra, maka penelitian berhubungan erat dengan nilai-nilai yang ada dalammasyarakat. Karya sastra selalu erat kaitannya dengan faktor sosial, dalam hal inipemahaman mengenai keadaan sosial yang dimiliki oleh pengarang harus tinggi, karenasosiologi sastra harus berdasarkan dari pengamatan, Penelitian ini bertujuan untuk mengungkap kritik sosial yang terkandung dalam novelDetik-Detik Cinta Menyentuh karya Ali Shahab melalui pendekatan sosiologi sastra. Metodeyang digunakan dalam penelitian ini adalah metode deskriptif kualitatif, Analisis isi diperolehuntuk mengungkap dan mendeskripsikan unsur ekstrinsiknya. Penelitian ini juga bertujuanuntuk menjelaskan unsur-unsur struktur pembangun novel meliputi alur, penokohan, latarserta tema dan amanat Metode penelitian yang akan digunakan dalam penelitian ini adalah pendekatanstruktural dan pendekatan sosiologi karena seperti yang telah dipahami bahwa karya sastratidak terlepas dari pengarang, latar belakangnya, lingkungan masyarakatnya, dan kondisisosial pada saat karya tersebut ditulis. Adapun pendekatan sosiologi sastra adalah salah satupendekatan sastra yang memperhatikan keadaan sosial masyarakat dalam menelaah sebuahkarya sastra. Pendekatan struktural dapat menjelaskan unsur-unsur yang membangun maknatotalitas struktur novel Ada tiga kritik sosial yang terkandung dalam novel Detik-detik Cinta MenyentuhKarya Ali Shahab. Kritikan pertama adalah kritik terhadap kekuatan tirani yang menjadipenyebab kemiskinan dan kehancuran rumah tangga. Dalam novel ini, tokoh pemegangkekuasaan dan kekayaan tidak dapat menunjukan sikap bijaksana dan baik budi, bahkansering kali berperilaku sewenang-wenang. Kritikan kedua adalah kritik terhadap sikapotoriter kaum borjuis, kaum borjuis memang sudah lama dikenal karena gaya hidupnya yangmewah dan glamour, mereka selalu berlaku sewenang-wenang karena mereka merasamemiliki otoritas terhadap setiap individu yang berada disekitar mereka. Kritik ketiga adalah kritik terhadap masalah diskriminasi dalam kehidupan seharihari.Dapat disaksikan keberadaan para orang dengan kecacatan masih menemui berbagaihambatan dalam banyak hal, antara lain disebabkan belum dipahami dan dimengerti olehsebagian warga masyarakat tentang bagaimana kita berperilaku dan bergaul bersama orangdengan kecacatan. Dalam aspek pendidikan, pekerjaan dan aspek lainnya sering kali masihditemui adanya perlakuan-perlakuan diskriminatif terhadap mereka

    The Deepest Supernova Search is Realized in the Hubble Ultra Deep Field Survey

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    The Hubble Ultra Deep Field Survey has not only provided the deepest optical and near infrared views of universe, but has enabled a search for the most distant supernovae to z~2.2. We have found four supernovae by searching spans of integrations of the Ultra Deep Field and the Ultra Deep Field Parallels taken with the Hubble Space Telescope paired with the Advanced Camera for Surveys and the Near Infrared Multi Object Spectrometer. Interestingly, none of these supernovae were at z>1.4, despite the substantially increased sensitivity per unit area to such objects over the Great Observatories Origins Deep Survey. We present the optical photometric data for the four supernovae. We also show that the low frequency of Type Ia supernovae observed at z>1.4 is statistically consistent with current estimates of the global star formation history combined with the non-trivial assembly time of SN Ia progenitors.Comment: 24 pages (6 figures), submitted to the Astronomical Journa

    Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach

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    In this paper, we demonstrate a data-driven methodology for modelling the local similarity measures of various attributes in a dataset. We analyse the spread in the numerical attributes and estimate their distribution using polynomial function to showcase an approach for deriving strong initial value ranges of numerical attributes and use a non-overlapping distribution for categorical attributes such that the entire similarity range [0,1] is utilized. We use an open source dataset for demonstrating modelling and development of the similarity measures and will present a case-based reasoning (CBR) system that can be used to search for the most relevant similar cases

    Intervention initiative programme - pilot evaluation

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    The report presented here refers to the preliminary findings of the evaluation of the pilot project with a group of Level 4 Applied Criminology students. Whilst it is acknowledged that these findings have limited statistical significance due to the small number of participants in the pilot project, some important trends can still be identified in the answers provided
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