scholarly journals Diagnosis of Intermittently Faulty Units at System Level

Data ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 44
Author(s):  
Viktor Mashkov ◽  
Jirí Fiser ◽  
Volodymyr Lytvynenko ◽  
Maria Voronenko
Keyword(s):  
System Identification ◽  
System Level ◽  
Intermittent Faults ◽  
Intermittent Fault ◽  
Different Types

Mostly, diagnosis at a system level intends to identify only permanently faulty units. In the paper, we consider the case when both permanently and intermittently faulty units can occur in the system. Identification of intermittently faulty units has some specifics which we have considered in this paper. We also suggest the method which allows for distinguishing among different types of intermittent faults. A diagnosis procedure was suggested for each type of intermittent fault.

scholarly journals Diagnosis of Intermittently Faulty Units at System Level

2018 ◽  
Author(s):  
Viktor Mashkov ◽  
Jiří Fišer ◽  
Volodymyr Lytvynenko ◽  
Maria Voronenko
Keyword(s):  
System Identification ◽  
Complex Systems ◽  
System Level ◽  
Practical Implementation ◽  
Intermittent Faults ◽  
Different Types ◽  
Faults Diagnosis ◽  
High Level

System level diagnosis is an abstraction of high level and, thus, its practical implementation to particular cases of complex systems is the task which requires additional investigations, both theoretical and modeling. Mostly, diagnosis at system level intends to identify only permanently faulty units. In the paper, we consider the case when both permanently and intermittently faulty units can occur in the system. Identification of intermittently faulty units has some specifics which we have considered in this paper. We also suggest the method which allows distinguishing among different types of intermittent faults. Diagnosis procedure was suggested for each type of intermittent faults.

Optimal design of an electrical connector intermittent fault–accelerated reproduction test based on a genetic algorithm

2019 ◽  
Vol 233 (5) ◽  
pp. 857-867
Author(s):  
Zunqing Zhu ◽  
Qian Li ◽  
Yong Zhang ◽  
Guanjun Liu ◽  
Jing Qiu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Fault Diagnosis ◽  
Optimal Design ◽  
Intermittent Faults ◽  
Damage Models ◽  
Intermittent Fault ◽  
Electrical Connector ◽  
Reproduction Test ◽  
Low Efficiency ◽  
Reproduction Efficiency

The intermittent fault of an electrical connector is a latent threat to the reliability of an electromechanical system. For electrical connector intermittent fault diagnosis, an intermittent fault must be reproduced. Reproducing an intermittent fault by a traditional test has a low efficiency and adds some damage to the product, which is not conducive to intermittent fault diagnosis. To further improve the reproduction efficiency of an intermittent fault and reduce the damage, optimal design of a step-stress-accelerated intermittent fault reproduction test is carried out. First, the number of intermittent faults and the degree of damage in the reproduction test are estimated, and reproduction and damage models of an intermittent fault during the step-stress reproduction test are constructed. Then, based on the intermittent fault and damage models, an optimized method based on a genetic algorithm is established. Finally, the validity and applicability of the theoretical model and the optimized method of the step-stress-accelerated test based on a genetic algorithm are verified by comparing data from a contrast test.

scholarly journals On the role of interdisciplinary, transdiscliprinary, and philosophical knowledge in modern higher education

2021 ◽  
Vol 103 ◽  
pp. 01017
Author(s):  
Zoya D. Denikina ◽  
Anatoly V. Denikin
Keyword(s):  
Higher Education ◽  
Subject Area ◽  
Educational Process ◽  
Theory And Practice ◽  
System Level ◽  
Practical Solution ◽  
Classical Education ◽  
Different Types ◽  
The Subject

The article traces the substantial and functional evolution of interdisciplinary and transdisciplinary knowledge and its integration into the theory and practice of higher education. The method of distinguishing between classical, non-classical, and post-non-classical rationality is used to disclose the specifics of university transdisciplinarity. The proposed hypothesis suggests that in non-classical and post-non-classical education, different types of studied objectivity exist while when the subject boundaries are fixed, various forms of subject uncertainty are observed. Difficulties in the practice of non-classical education are associated with the objective of overcoming double uncertainty. In one case, the onedimensionality of the study depends on the choice of ontological conditions that are only sufficient for a given monodiscipline. In another case, the task of combining the intervals of studying a subject in the framework of multidisciplinary knowledge is being solved. Transdisciplinarity manifests primarily through educational modeling technologies. What can be attributed to the specifics of post-non-classical education is the study of two types of objectivity: the system-level reality in cases of severe disequilibrium and the system-operational reality in cases of mild disequilibrium. Thus, the subject area demonstrates substantial and systemic uncertainty. It is concluded that the study of systemic objects as a part of the educational process requires interdisciplinary efforts and is carried out in line with the following scheme: problem – project – concept – practical solution.

scholarly journals Analysis and Estimation of Interaction and Reusability Complexities of Components in Component-Based Software Engineering

2020 ◽  
Vol 8 (6) ◽  
pp. 1600-1608
Keyword(s):  
Software Engineering ◽  
Basic Parameter ◽  
Positive Relationship ◽  
Negative Relationship ◽  
System Level ◽  
Interaction Behavior ◽  
Different Types ◽  
Component Based Software Engineering

Reuse is the elementary and essential attribute of the component-based software engineering. Reusability focuses on building huge and complex software through assembling pre-fabricated software constructs. In this paper, our emphasis is on to analyze and quantify the two core notions of component-based software, that is, reusability and interaction behavior of the components with the goal of minimum complexity generation. We analyse prominent works available in the literature in the area of reuse and interaction complexities. We Analyze and Estimate reusability complexities of components in Component-Based Software Engineering and we propose efficient and useful metrics to compute the reusability of components. Reusability metrics are defined for individual components as well as overall system level. Different types of components are defined on the basis of their reusability, that is, components that can be reused as it as, and tailored components. To define the metrics we have used lines-of-code as the basic parameter due to its simplicity and countability. We proposed a matrics which select the best component on the basis LOC based complexity.We compare IRMCcTotal-i matrics with SCCp metrics and SCCr metrics and analyses that negative relationship between SCCp and IRMCcTotal-i shows low portability and positive relationship between SCCr and IRMCcTotal-i shows high portability.

scholarly journals NFP: An R Package for Characterizing and Comparing of Annotated Biological Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-5
Author(s):  
Yang Cao ◽  
Wenjian Xu ◽  
Chao Niu ◽  
Xiaochen Bo ◽  
Fei Li
Keyword(s):  
Biological Networks ◽  
Biological Network ◽  
R Package ◽  
System Level ◽  
Application Development ◽  
Mathematical Concepts ◽  
Computational Framework ◽  
Knowledge Based ◽  
Different Types ◽  
Gene Regulatory

Large amounts of various biological networks exist for representing different types of interaction data, such as genetic, metabolic, gene regulatory, and protein-protein relationships. Recent approaches on biological network study are based on different mathematical concepts. It is necessary to construct a uniform framework to judge the functionality of biological networks. We recently introduced a knowledge-based computational framework that reliably characterized biological networks in system level. The method worked by making systematic comparisons to a set of well-studied “basic networks,” measuring both the functional and topological similarities. A biological network could be characterized as a spectrum-like vector consisting of similarities to basic networks. Here, to facilitate the application, development, and adoption of this framework, we present an R package called NFP. This package extends our previous pipeline, offering a powerful set of functions for Network Fingerprint analysis. The software shows great potential in biological network study. The open source NFP R package is freely available under the GNU General Public License v2.0 at CRAN along with the vignette.

scholarly journals Fish provision in a changing environment: The buffering effect of regional trade networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261514
Author(s):  
Blanca González-Mon ◽  
Emilie Lindkvist ◽  
Örjan Bodin ◽  
José Alberto Zepeda-Domínguez ◽  
Maja Schlüter
Keyword(s):  
Social Relationships ◽  
System Level ◽  
Small Scale ◽  
Network Structures ◽  
Regional Trade ◽  
Trade Networks ◽  
Fish Stocks ◽  
Agent Based ◽  
Small Scale Fisheries ◽  
Different Types

Local and regional trade networks in small-scale fisheries are important for food security and livelihoods across the world. Such networks consist of both economic flows and social relationships, which connect different production regions to different types of fish demand. The structure of such trade networks, and the actions that take place within them (e.g., people fishing, buying, selling), can influence the capacity of small-scale fisheries to provide sufficient fish in a changing social and ecological context. In this study, we aim to understand the importance of networks between different types of traders that access spatially-distinct fish stocks for the availability and variability of fish provision. We deployed a mixed-methods approach, combining agent-based modelling, network analysis and qualitative data from a small-scale fishery in Baja California Sur, Mexico. The empirical data allowed us to investigate the trade processes that occur within trade networks; and the generation of distinct, empirically-informed network structures. Formalized in an agent-based model, these network structures enable analysis of how different trade networks affect the dynamics of fish provision and the exploitation level of fish stocks. Model results reveal how trade strategies based on social relationships and species diversification can lead to spillover effects between fish species and fishing regions. We found that the proportion of different trader types and their spatial connectivity have the potential to increase fish provision. However, they can also increase overexploitation depending on the specific connectivity patterns and trader types. Moreover, increasing connectivity generally leads to positive outcomes for some individual traders, but this does not necessarily imply better outcomes at the system level. Overall, our model provides an empirically-grounded, stylized representation of a fisheries trading system, and reveals important trade-offs that should be considered when evaluating the potential effect of future changes in regional trade networks.

Integrative Analysis of Dysfunctional Modules Driven by Genomic Alterations at System Level Across 11 Cancer Types

2019 ◽  
Vol 21 (10) ◽  
pp. 771-783 ◽  
Author(s):  
Yin Wang ◽  
Zhenhao Liu ◽  
Baofeng Lian ◽  
Lei Liu ◽  
Lu Xie
Keyword(s):  
Clinical Analysis ◽  
System Level ◽  
Computational Pipeline ◽  
Biological Functions ◽  
Driver Genes ◽  
Different Types ◽  
Cancer Types ◽  
Survival Patterns ◽  
Functional Analyses ◽  
Insight Into

Aim and Objective: Integrating multi-omics data to identify driver genes and key biological functions for tumorigenesis remains a major challenge. Method: A new computational pipeline was developed to identify the Driver Mutation-Differential Co-Expression (DM-DCE) modules based on dysfunctional networks across 11 TCGA cancers. Results: Functional analyses provided insight into the properties of various cancers, and found common cellular signals / pathways of cancers. Furthermore, the corresponding network analysis identified conservations or interactions across different types of cancers, thus the crosstalk between the key signaling pathways, immunity and cancers was found. Clinical analysis also identified key prognostic / survival patterns. Conclusion: Taken together, our study sheds light on both cancer-specific and cross-cancer characteristics systematically.

Noise performance comparison between two different types of time-domain systems for microwave detection

2016 ◽  
Vol 9 (3) ◽  
pp. 535-542 ◽  
Author(s):  
Xuezhi Zeng ◽  
Albert Monteith ◽  
Andreas Fhager ◽  
Mikael Persson ◽  
Herbert Zirath
Keyword(s):  
Time Domain ◽  
Random Sequence ◽  
Random Noise ◽  
Performance Comparison ◽  
System Level ◽  
Noise Performance ◽  
Microwave Detection ◽  
Study Results ◽  
Different Types ◽  
Noise Sequence

This paper compares the noise performance of two different types of time-domain microwave detection systems: a pulsed system and a pseudo-random noise sequence system. System-level simulations and laboratory-based measurements are carried out in the study. Results show that the effect of timing jitter is more significant on the measurement accuracy of the pseudo-random noise sequence system than that of the pulsed system. Although the signal power density of the pseudo-random sequence system is tens of dBs higher than that of the pulsed system over the frequency band of interest, the signal-to-noise ratio difference between these two systems can be just a few dBs or even smaller depending on the jitter level.

scholarly journals Party Institutionalisation in the Czech Republic: Towards a New Measurement of the Theoretical Concept

2015 ◽  
Vol 17 (3-4) ◽  
pp. 249-275 ◽  
Author(s):  
Jakub Stauber
Keyword(s):  
Czech Republic ◽  
Political Parties ◽  
Party System ◽  
Theoretical Concept ◽  
System Level ◽  
The Czech Republic ◽  
Electoral Support ◽  
Overall Stability ◽  
Different Types ◽  
The Stability

The overall stability of the party system is usually studied on the basis of system-level aggregates such as electoral volatility or the effective number of political parties. Such an approach can be problematic, because it primarily measures just one dimension of stability, which is defined as the stability of electoral support. The article argues that this external dimension of stability should be further analysed in the context of the development of intra-party structures. The institutionalisation theory includes both dimensions, so it is capable of interpreting complex relations between them. Based on empirical data, the article systematically compares nine relevant political parties in the Czech Republic to better understand differences in the stabilisation of different types of party organisations in the context of party system changes in recent years.

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