scholarly journals Parametric simulator of cyclic and non-cyclic impulsive vibration signals for diagnostic research applications

2021 ◽  
Vol 942 (1) ◽  
pp. 012015
Author(s):  
Anna Michalak ◽  
Jacek Wodecki
Keyword(s):  
Real Life ◽  
High Energy ◽  
Measured Data ◽  
Natural Phenomenon ◽  
High Similarity ◽  
Vibration Signals ◽  
Similarity Degree ◽  
Machine Operation ◽  
Diagnostic Research ◽  
High Level

Abstract In recent years cyclostationary analysis of vibration signals is considered to be one of the most potent approaches for diagnostics of machines with rotating components. However, it is a subject of an extensive research towards extending its robustness due to its significant inefficiency in the presence of non-cyclic impulsive components in measured data. This problem is especially visible in datasets measured on machines such as ore crushers, where the high-energy impacts are a natural phenomenon. Unfortunately, due to practical inaccessibility, real-life datasets necessary to properly study this problem are extremely difficult to obtain. To address this issue, the authors propose an easy to use simulator of impulsive components. It covers both cyclic components that can describe various types of fault signatures, and non-cyclic ones that can represent impacts occurring naturally due to the nature of machine operation. Simulated signals have been compared with real ones to ensure a high similarity degree, which in turn guarantees a relatively high level of realism.

Puzzles Unpuzzled

2021 ◽  
Vol 5 (CHI PLAY) ◽  
pp. 1-24
Author(s):  
Andrey Krekhov ◽  
Katharina Emmerich ◽  
Ronja Rotthaler ◽  
Jens Krueger
Keyword(s):  
Virtual Reality ◽  
Real Life ◽  
Basic Structure ◽  
Design Framework ◽  
Emotional Challenges ◽  
Related Research ◽  
Board Games ◽  
Current State ◽  
Prior Literature ◽  
High Level

Escape rooms exist in various forms, including real-life facilities, board games, and digital implementations. The underlying idea is always the same: players have to solve many diverse puzzles to (virtually) escape from a locked room. Within the last decade, we witnessed a rapidly increasing popularity of such games, which also amplified the amount of related research. However, the respective academic landscape is mostly fragmented in its current state, lacking a common model and vocabulary that would withstand these games' variety. This manuscript aims to establish such a foundation for the analysis and construction of escape rooms. In a first step, we derive a high-level design framework from prior literature. Then, as our main contribution, we establish an atomic puzzle taxonomy that closes the gap between the analog and digital domains. The taxonomy is developed in multiple steps: we compose a basic structure based on previous literature and systematically refine it by analyzing 39 analog and digital escape room games, including recent virtual reality representatives. The final taxonomy consists of mental, physical, and emotional challenges, thereby providing a robust and approachable basis for future works across all application domains that deal with escape rooms or puzzles in general.

PHILOSOPHY OF THE UNITY OF KNOWLEDGE, COMPETENCIES, AND VALUES OF THE NEW UKRAINIAN SCHOOL

2021 ◽  
pp. 36-46
Author(s):  
Oksana Yakymchuk
Keyword(s):  
Real Life ◽  
Essential Characteristic ◽  
Knowledge And Skills ◽  
Pedagogical Action ◽  
Professional Self ◽  
Level Of Knowledge ◽  
Knowledge Competencies ◽  
High Level ◽  
Unity Of Knowledge ◽  
Educational Potential

The formation of a powerful, active, and dynamic axiological foundation of personality is one of the essential tasks of the competency approach because even a high level of knowledge and skills acquired in the process of learning and education cannot ensure the integrity and progressively oriented unity of personal and professional competencies for future successful life, socio-cultural and professional self-realization. Given this, within the competence paradigm of education, qualitatively new content is the unity of learning and education. If before a significant amount of theoretical knowledge, detached from real life, had a shallow educational potential, now any pedagogical action, even focused on the cognitive assimilation of basic scientific knowledge, will have a worldview. An essential characteristic of the competency approach in education is that it can ensure each student’s unique structure the unity of knowledge, competencies, and values.

On sinterability of nanostructured W produced by high-energy ball milling

2007 ◽  
Vol 22 (5) ◽  
pp. 1200-1206 ◽  
Author(s):  
R. Malewar ◽  
K.S. Kumar ◽  
B.S. Murty ◽  
B. Sarma ◽  
S.K. Pabi
Keyword(s):  
Sintered Density ◽  
Sintering Temperature ◽  
High Energy ◽  
Deformation Bands ◽  
Dramatic Decrease ◽  
Powder Charge ◽  
Grinding Media ◽  
Energy Ball ◽  
High Level ◽  
First Time

The present investigation reports for the first time a dramatic decrease in the sintering temperature of elemental W from the conventional temperature of ≥2500 °C to the modest temperature range of 1700–1790 °C by making the W powder nanostructured through high-energy mechanical milling (MM) prior to sintering. The crystallite size of the initial W powder charge with a particle size of 3–4 μm could be brought down to 8 nm by MM for 5 h in WC grinding media. Further milling resulted in a high level of WC contamination, which apparently was due to work hardening and the grain refinement of W. A sintered density as high as 97.4% was achieved by sintering cold, isostatically pressed nanocrystalline (8 nm) W powder at 1790 °C for 900 min. The microstructure of the sintered rods showed the presence of deformation bands, but no cracks, within a large number of W grains. The mechanical properties, when compared with the hardness and elastic modulus, of the sintered nano-W specimen were somewhat superior to those reported for the conventional sintered W.

ON PRODUCTION OF SOME NEUTRAL MESONS IN PION-INDUCED REACTIONS AT HIGH ENERGIES AND AT LARGE TRANSVERSE MOMENTA

2006 ◽  
Vol 15 (03) ◽  
pp. 627-641
Author(s):  
BHASKAR DE ◽  
S. K. BISWAS ◽  
S. BHATTACHARYYA
Keyword(s):  
Phenomenological Model ◽  
High Energy ◽  
Measured Data ◽  
Fair Agreement ◽  
Standard Variety ◽  
High Energies ◽  
Neutral Mesons

The measured data on production of π0 and η mesons at large transverse momenta in high energy π-P and π-Be interactions have here been analyzed with the help of a newly-developed phenomenological model, called Combinational Approach(CA). The results so obtained on the basis of the CA are seen to be in fair agreement with the measured data. Furthermore, the results so obtained have been compared with both some previous measuremnts by the same group and some models of the standard variety type, e.g., PYTHIA, HERWIG.

scholarly journals How strong is the integrity disclosure in Indonesian Province website?

2021 ◽  
Vol 3 (1) ◽  
pp. 33-44
Author(s):  
Maria Hellenikapoulos ◽  
Intiyas Utami
Keyword(s):  
Sustainable Development ◽  
Content Analysis ◽  
Local Governments ◽  
Sustainable Development Goals ◽  
Real Life ◽  
Good Image ◽  
The Public ◽  
Strategic Issue ◽  
Development Goals ◽  
High Level

The high level and trend of corruption in Indonesia Province could hinder the goal of Sustainable Development Goals point 16. This study aims to identify disclosures of integrity through websites and classify the Indonesia Provinces into 3 categories, namely high, medium, and low based on the integrity disclosure index using institutional theory. The data is based on content analysis to analyze practices through disclosure of integrity on 34 Indonesian Province websites using the Integrity Framework Disclosure Index instrument. The findings indicate that Indonesia has disclosed 775 items (48%). The items of vision, mission, and integrity report are the biggest disclosed items among other items that show Indonesia’s effort to create a “good image” in the public eyes. Several Provinces are in the moderate category because of a strategic issue in the field of education. Local governments still have to review the increase in integrity disclosure on websites and their real-life implementation to improve integrity and fight corruption in Indonesia.

scholarly journals Determination of kinetic coefficients for treating synthetic oily wastewater in suspended growth batch fed reactor

2021 ◽  
Author(s):  
P. Sanghamitra ◽  
Debabrata Mazumder ◽  
Somnath Mukherjee
Keyword(s):  
Real Life ◽  
Oily Wastewater ◽  
Efficient Design ◽  
Oil And Grease ◽  
Property A ◽  
Kinetic Coefficients ◽  
Suspended Growth ◽  
Suspended Biomass ◽  
High Level

Abstract Discharge of oily wastewater imparts serious threat to the environment because of high level concentration of COD, BOD as well as oil and grease and it is difficult to treat such wastewater due to its inherent toxic and inhibitory property. A treatability study of oily wastewater (carrying petroleum) has been performed in the present work using a batch suspended growth reactor. The experiment was conducted using acclimatized suspended biomass in laboratory environment and the kinetic coefficients were determined which are immensely important for design of such reactor. The oil removal efficiency was observed to be in the range of 62.84–85.45% corresponding to average MLSS concentration range of 1,797–3,668 mg/L. Haldane kinetic model was found to be the best fitted for the biodegradation of oily wastewater with acclimatised microorganisms in the present investigation. The kinetic co-efficients including Ks, Y, kd, k and ki were calculated from the experimental data and the values were compared with published results cited by various scientists. The derived kinetic coefficients values are to be useful for understanding the dynamics of substrate utilisation with production of biomass and efficient design of biological systems and also for pilot plant investigation with real life wastewater of similar nature.

scholarly journals D-dCNN: A Novel Hybrid Deep Learning-Based Tool for Vibration-Based Diagnostics

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5286 ◽  
Author(s):  
Ugochukwu Ejike Akpudo ◽  
Jang-Wook Hur
Keyword(s):  
Neural Network ◽  
Feature Learning ◽  
Ease Of Use ◽  
Fault Detection And Isolation ◽  
Vibration Signals ◽  
One Dimensional ◽  
Real Time Applications ◽  
Equipment State ◽  
High Level

This paper develops a novel hybrid feature learner and classifier for vibration-based fault detection and isolation (FDI) of industrial apartments. The trained model extracts high-level discriminative features from vibration signals and predicts equipment state. Against the limitations of traditional machine learning (ML)-based classifiers, the convolutional neural network (CNN) and deep neural network (DNN) are not only superior for real-time applications, but they also come with other benefits including ease-of-use, automated feature learning, and higher predictive accuracies. This study proposes a hybrid DNN and one-dimensional CNN diagnostics model (D-dCNN) which automatically extracts high-level discriminative features from vibration signals for FDI. Via Softmax averaging at the output layer, the model mitigates the limitations of the standalone classifiers. A diagnostic case study demonstrates the efficiency of the model with a significant accuracy of 92% (F1 score) and extensive comparative empirical validations.

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