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    Wyświetlanie 1-4 z 4
    Tytuł:
    RAM analysis of rotary drilling machines
    Autorzy:
    Rahimdel, M. J.
    Hoseinie, S. H.
    Ghodrati, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/88948.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
    Tematy:
    rotary drilling machine
    Markov approach
    reliability
    maintainability
    availability
    Opis:
    Rotary drilling machines are the most common machines used for drilling the blast holes in mining and constructions activities. The vital role of drilling operation in mining activities reveals that, the performance analysis of drilling machines and their failure and repair behaviours are essential. There-fore, the present study focuses on the reliability, availability and maintainability (RAM) of drilling ma-chines. In this paper, four rotary drilling machines at Sarcheshmeh Copper Mine in Iran are considered for repair and failure data collection. RAM analysis of drilling machines is done using Markov Approach. Results show that the reliability of drilling fleet is decreased by 0.67% in per hour drilling. The hydraulic system is the main unavailability reason of all machines. Moreover, the most failures of the two newest machines are completely repaired in 25 hours.
    Źródło:
    Mining Science; 2016, 23; 77-89
    2300-9586
    2353-5423
    Pojawia się w:
    Mining Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Bayesian virtual metrology for quality inspection of mobile repeater systems
    Autorzy:
    Kim, S. D.
    Kim, J. S.
    Mun, B. M.
    Bae, S. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/406820.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Bayesian approach
    regression
    conjugate priors
    ICS repeater
    Markov chain Monte Carlo
    Opis:
    The technology of wideband code division multiple access (WCDMA) has been applied to band selective interference cancellation system (ICS) repeaters. To inspect the telecommunication quality of the systems, quality engineers must check the shape of the signals at the corresponding frequency band of the repeaters. However, measuring the signal quality is a repetitive manual task which requires much inspection time and high costs. In the case of small-sized samples, such as the example of an ICS repeater system, Bayesian approaches have been employed to improve the estimation accuracy by incorporating prior information on the parameters of the model in consideration. This research proposes a virtual method of quality inspection for products using a correlation structure of measurement data, mainly in a Bayesian regression framework. The Bayesian regression model derives prior information from historical measurement data to predict measurements of other frequency bandwidths by exploiting the correlation structure of each measurement data. Empirical results show the potential for reducing inspection costs and time by predicting the values of adjoining frequency bandwidths through measured data of a frequency bandwidth in the course of quality inspections of ICS repeater systems.
    Źródło:
    Management and Production Engineering Review; 2016, 7, 4; 48-53
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Statistical proper name recognition in Polish economic texts
    Autorzy:
    Marcińczuk, M.
    Piasecki, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/206385.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    proper name recognition
    named entity recognition
    machine learning
    hidden Markov model
    rule-base approach
    dictionary-base approach
    Opis:
    In the paper we present a Proper Name Recognition algorithm based on the Hidden Markov Model (HMM). Recognition of the Proper Names (PN) is treated as the basis for Named Entity Recognition problem in general. The proposed method is based on combining domain-dependent method based on HMM with domain independent methods based on gazetteers and hand-written rules for recognition and post-processing that capture the general properties of Polish PN structure. A large gazetteer with entries described morphologically was acquired from the web. The HMM re-scoring mechanism was applied as a basis for integration of different knowledge sources in PN recognition. Results of experiments on a domain corpus of Polish stock exchange reports, used for training and testing, are presented. A cross-domain evaluation on two other corpora is also presented. Adaptability of the method was analysed by applying the trained model to two other domain corpora.
    Źródło:
    Control and Cybernetics; 2011, 40, 2; 393-418
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Probabilistic approach to determination of oil spill domains at port and sea water areas
    Autorzy:
    Dąbrowska, E.
    Kołowrocki, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/116051.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    oil spill
    oil spill domains
    determination of oil spill
    Semi-Markov Model
    sea water areas
    port area
    probabilistic approach
    hydro-meteorological conditions
    Opis:
    Maritime safety involves minimizing error in all aspects of the marine system. Human error has received much importance, being responsible for about 80% of the maritime accident worldwide. Currently, more attention has been focused to reduce human error in marine engine maintenance. On-board marine engine maintenance activities are often complex, where seafarers conduct maintenance activities in various marine environmental (i.e. extreme weather, ship motions, noise, and vibration) and operational (i.e. work overload and stress) conditions. These environmental and operational conditions, in combination with generic human error tendencies, results in innumerable forms of error. There are numerous accidents that happened due to the human error during the maintenance activities of a marine engine. The most severe human error results in accidents due to is a loss of life. Moreover, there are other consequences too such as delaying the productivity of marine operations which results in the financial loss. This study reviews methods that are currently available for identifying, reporting and managing human error in marine engine maintenance. As a basis for this discussion, authors provide an overview of approaches for investigating human error, and a description of marine engine maintenance activities and environmental and operational characteristics.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 1; 51-58
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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