Failure analysis and assessment on the exemplary water supply network

Pietrucha-Urbanik, Katarzyna

doi:10.1016/j.engfailanal.2015.07.036

Cited by 63 publications

(37 citation statements)

References 22 publications

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“…flood protection [15] and proper dimensioning of sewerage system [16]. This function (relation (1)) is also called a nonstationary availability indicator describing the sum of probabilities of occurrence of individual object operational event B i [10,11].…”

Section: Reliability and Failure Analysismentioning

confidence: 99%

“…

Abstract

The principal aim of this research was to find out if artificial neu-

IntroductionResearch on the frequency of failure of water supply networks has been conducted in Poland and in the world for many years [1][2][3][4]. Still, besides determining the failure frequency level of water conduits on the basis of operating data, it is also necessary to supplement such studies with the results of the modelling, using typical models or artificial intelligence and Monte Carlo simulations: probability of the failure occurrence and values of failure rate [5][6][7][8] or the amount of water losses through pipe breaks [9].

…”

mentioning

confidence: 99%

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Neural Network Approach for Availability Indicator Prediction

Kutyłowska

2017

Period. Polytech. Civil Eng.

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The principal aim of this research was to find out if artificial neu- IntroductionResearch on the frequency of failure of water supply networks has been conducted in Poland and in the world for many years [1][2][3][4]. Still, besides determining the failure frequency level of water conduits on the basis of operating data, it is also necessary to supplement such studies with the results of the modelling, using typical models or artificial intelligence and Monte Carlo simulations: probability of the failure occurrence and values of failure rate [5][6][7][8] or the amount of water losses through pipe breaks [9]. Therefore one of the aims of this research was to show that mathematical modelling could be used to determine the availability indicator and reliability level of water conduits.

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Section: Reliability and Failure Analysismentioning

confidence: 99%

“…

Abstract

The principal aim of this research was to find out if artificial neu-

…”

mentioning

confidence: 99%

Neural Network Approach for Availability Indicator Prediction

Kutyłowska

2017

Period. Polytech. Civil Eng.

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“…Scientists developed methods of condition monitoring of electrical motors and various devices [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Many data processing methods (such as FFT, Wavelets, classifiers) were developed in the literature [21][22][23][24][25][26].…”

Section: Fig 1 Induction Motorsmentioning

confidence: 99%

Recognition of Acoustic Signals of Induction Motors with the Use of MSAF10 and Bayes Classfier

Głowacz¹

2016

Archives of Metallurgy and Materials

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Condition monitoring of deterioration in the metallurgical equipment is essential for faultless operation of the metallurgical processes. These processes use various metallurgical equipment, such as induction motors or industrial furnaces. These devices operate continuously. Correct diagnosis and early detection of incipient faults allow to avoid accidents and help reducing financial loss. This paper deals with monitoring of rotor electrical faults of induction motor. A technique of recognition of acoustic signals of induction motors is presented. Three states of induction motor were analyzed. Studies were carried out for methods of data processing: Method of Selection of Amplitudes of Frequencies (MSAF10) and Bayes classifier. Condition monitoring is helpful to protect induction motors and metallurgical equipment. Further researches will allow to analyze other metallurgical equipment.

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“…Moreover, the scope of the research has also been extended beyond regional usage to watersheds and the world at large. At the same time, some scholars have carried out research on the safety assessment [27,28], failure analysis [29], failure prediction [30] and usage during crisis situations [31] of water resource management systems. The establishment of the existing index system is based on sustainable development theory.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Assessment of Regional Water Usage Efficiency Control Based on Game Theory Weight and a Matter-Element Model

Wang

et al. 2017

Water

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Abstract:The efficient control of water usage is one of the core goals of the strictest water resources management system in China. Therefore, the objective and reasonable evaluation of the effects of implementing this system is crucial. Based on the natural and social water cycle theories and the mechanism of the influence of agricultural, industrial, domestic and ecological water utilization, this paper proposes an evaluation index system through the qualitative and quantitative analysis of external and internal factors affecting the efficiency of water usage. Then, a matter-element model is developed on the basis of game theory weight to evaluate the effects of the implementation of efficiency control measures for regional water usage. By calculating the comprehensive correlation, this model can directly indicate the level of regional water use efficiency control. The model is applied to water usage in Jiangxi Province for the period 2011-2014. The results indicate a gradual improvement in the efficiency of water usage in this province. The matter-element extension evaluation model is simple and practical, and the evaluation results are in agreement with the facts. In summary, this method can provide a new theoretical basis for controlling the efficiency of regional water usage.

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Failure analysis and assessment on the exemplary water supply network

Cited by 63 publications

References 22 publications

Neural Network Approach for Availability Indicator Prediction

Neural Network Approach for Availability Indicator Prediction

Recognition of Acoustic Signals of Induction Motors with the Use of MSAF10 and Bayes Classfier

Comprehensive Assessment of Regional Water Usage Efficiency Control Based on Game Theory Weight and a Matter-Element Model

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