Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

Głowacz, Adam; Głowacz, Andrzej; Głowacz, Z.

doi:10.1515/msr-2015-0018

Cited by 38 publications

(24 citation statements)

References 29 publications

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“…Text mining can also be defined as the process by which in the text resources is discovered the information previously unknown. As in data mining, also in text mining there is an attempt to explore the previously unknown regularities, rules, and patterns [18][19][20].…”

Section: Investigation Methodsmentioning

confidence: 99%

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

Regulski

2017

Archives of Metallurgy and Materials

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The process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.

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Section: Investigation Methodsmentioning

confidence: 99%

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

Regulski

2017

Archives of Metallurgy and Materials

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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%

“…Author selected Bayes classifier [6]. Bayes classifier is useful method for classification of feature vectors.…”

Section: Bayes Classifiermentioning

confidence: 99%

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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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“…Nowadays temperature is one of the most frequently measured physical quantities. The accuracy of temperature measurements often directly determines the quality, effectiveness and safety of industrial manufacturing processes [14][15][16][17][18]. According to [4]: "Statistical data show that the percentage of temperature measurements is 40 % of all measurements in industry.…”

Section: Introductionmentioning

confidence: 99%

Designing an accurate system for temperature measurements

Кочан

2017

E3S Web Conf.

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Abstract. The method of compensation of changes in temperature field along the legs of inhomogeneous thermocouple, which measures a temperature of an object, is considered in this paper. This compensation is achieved by stabilization of the temperature field along the thermocouple. Such stabilization does not allow the error due to acquired thermoelectric inhomogeneity to manifest itself. There is also proposed the design of the furnace to stabilize temperature field along the legs of the thermocouple which measures the temperature of an object. This furnace is not integrated with the thermocouple mentioned above, therefore it is possible to replace this thermocouple with a new one when it get its legs considerably inhomogeneous.. There is designed the two loop measuring system with the ability of error correction which can use simultaneously a usual thermocouple as well as a thermocouple with controlled profile of temperature field. The latter can be used as a reference sensor for the former.

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Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier

Cited by 38 publications

References 29 publications

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

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

Designing an accurate system for temperature measurements

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