Recognition of Monochrome Thermal Images of Synchronous Motor with the Application of Skeletonization and Classifier Based on Words

Głowacz, Andrzej; Głowacz, Z.

doi:10.1515/amm-2015-0004

Cited by 13 publications

(13 citation statements)

References 19 publications

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“…Initialize weights in the reservoirs. [8] 89.4% 92.7% 92.3% Otsu-R [9] 87.3% 85.4% 84.9% Otsu-RGB [10] 93.6% 80.3% 80.2% Otsu-PCA [6] 79.6% 99.6% 98.1% TDLS [1] 91.2% 99.0% 98.3% Proposed Method 90.6% 99.2% 98.8%…”

Section: Resultsmentioning

confidence: 99%

“…The connections between the input units and the internal units are given by an S × X weight matrix V, connections between the internal units are collected in an X × X weight matrix W, and connections from internal units to output units are given in X × Y weight matrix U [10]. The input units are updated based on the following equation …”

Section: Esnn With Texture Topologymentioning

confidence: 99%

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Texture Based Automated Segmentation of Skin Lesions using Echo State Neural Networks

Khan¹,

Ganapathi²

2017

Journal of Electrical Engineering and Technology

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-A novel method of Skin lesion segmentation based on the combination of Texture and Neural Network is proposed in this paper. This paper combines the textures of different pixels in the skin images in order to increase the performance of lesion segmentation. For segmenting skin lesions, a two-step process is done. First, automatic border detection is performed to separate the lesion from the background skin. This begins by identifying the features that represent the lesion border clearly by the process of Texture analysis. In the second step, the obtained features are given as input towards the Recurrent Echo state neural networks in order to obtain the segmented skin lesion region. The proposed algorithm is trained and tested for 862 skin lesion images in order to evaluate the accuracy of segmentation. Overall accuracy of the proposed method is compared with existing algorithms. An average accuracy of 98.8% for segmenting skin lesion images has been obtained.

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Section: Resultsmentioning

confidence: 99%

Section: Esnn With Texture Topologymentioning

confidence: 99%

Texture Based Automated Segmentation of Skin Lesions using Echo State Neural Networks

Khan¹,

Ganapathi²

2017

Journal of Electrical Engineering and Technology

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“…2. Thermovision camera which is often used to monitor the technical condition of electric machines [9,11] was also used.…”

Section: Sampling and Verification Of The Thermal Conductivity Paramementioning

confidence: 99%

“…2. Thermovision camera which is often used to monitor the technical condition of electric machines [9,11] was also used.To provide heat transfer only by natural convection and radiation, the measuring position has been protected from air flow. The tempera- Fig.…”

mentioning

confidence: 99%

The innovative design concept of thermal model for the calculation of the electromagnetic circuit of rotating electrical machines

Będkowski¹,

Madej²

2015

EiN

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The innovaTive design concepT of Thermal model for The calculaTion of The elecTromagneTic circuiT of roTaTing elecTrical machines innowacyjna koncepcja budowy obliczeniowego modelu cieplnego dla obwodu elekTromagneTycznego wirujących maszyn elekTrycznych* Operating parameters and reliability of rotating electrical machines are connected to a large extent with their thermal state. The high temperature of these devices has an impact on the life of such elements as bearings, windings, andalso efficiency and possibility of their use. More often, during the analysis of the existingand new designs of electrical machines,the thermal and mechanical calculations are carried out. The finite element method which uses spatial models is commonly used in such calculations. The correct formulation of boundary conditionsand the appropriate model simplifications are the key problems. Parameters calibration of thecalculation model in order to obtain adequate calculations results to the actual device operation is necessary to performed. The innovative conception for determining the thermal parameters of the numerical model for the most complex structure of electrical machinery, which is the electromagnetic circuit, is presented in this paper. During the preparation of the thermal IntroductionGrowing demands on the efficiency of electric motors, as well as economic aspects and diversity of application cause that in the design of electrical machines not only electrical parameters are important.The higher reliability, minimize weight and dimensions, high strength, and appropriate vibration, noise and thermal stateparameters are required from actually designed and manufactured electrical machines [1,[4][5][6]10]. In other words, electrical machines should be optimized to working conditions in which they are operated. This approach necessitate development of newer and more elaborate design. At the same time in the design process of modern electrical machines the interdisciplinary knowledge in the field of electrical engineering, electronics, strength sciENcE aNd tEchNology of materials, thermodynamics, fluid mechanics and acoustics is required from constructor.The development of computer technology and constantly increasing computing capabilities have contributed to the development of numerical methods and increasing popularity of programs supporting the work of design engineers. Skillful use of specialized software in the design of electrical machines can increase the efficiency of project work and motor durability simultaneously reducing their weight, vibration, noise and temperature. In the available publications, it can be seen that more often to thedesign analysis of electrical machine researchers use sophisticated computational programs. In addition to the mechanical analysis, software for thermal and flowanalysis based on FEM and CFD or the Lumped Parameter Modelingis becoming more popular [2].In the literature related to this subject, different ways of modeling and calibration of computational models and related problemscan be...

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“…The temperature field is calculated only for the tooth of gear wheel area, according to the Fourier-Kirchhoff law [23][24][25][26][27][28]:…”

Section: Calculation Modelmentioning

confidence: 99%

The Use Of Multifrequency Induction Heating For Temperature Distribution Control

Smalcerz¹

2015

Archives of Metallurgy and Materials

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The paper presents possibilities of controlling temperature field distribution in inductively heated charge. The change of its distribution was obtained using the sequential one-, two-, and three-frequency heating. The study was conducted as a multi-variant computer simulation of hard coupled electromagnetic and temperature fields. For the analysis, a professional calculation software package utilizing the finite element method, Flux 3D, was used. The problem of obtaining an appropriate temperature distribution in the heated charge of a complex shape is very important in many practical applications. A typical example is hardening of gear wheels. For such an application, it is necessary to obtain (on the surface and at a desired depth) an uniform temperature distribution on the tooth face, top land and bottom land of the gear. The obtained temperature should have proper distribution and value. Such a distribution is very difficult to achieve.Keywords: induction heating, computer simulation, electromagnetic field, temperature field W artykule przedstawiono możliwość kształtowania rozkładu pola temperatury w nagrzewanym indukcyjnie wsadzie. Zmianę rozkładu temperatury uzyskano wykorzystując sekwencyjne nagrzewanie jedno-, dwu-i trój-częstotliwościowe. Badania przeprowadzono jako wielowariantową symulację komputerową silnie sprzężonego ze sobą pola elektromagnetycznego i pola temperatury. Do analizy wykorzystano profesjonalny pakiet obliczeniowy Flux 3D wykorzystujący metodę elementów skończonych. Problem uzyskania odpowiedniego rozkładu temperatury w nagrzewanym wsadzie o złożonej geometrii jest bardzo istotny w wielu zastosowaniach praktycznych. Typowym przykładem jest hartowanie kół zębatych. Dla takiego zastosowania wymagane jest uzyskanie równomiernego na powierzchni i na zadanej głębokości zęba i wrębu rozkładu temperatury o określonej wartości. Uzyskanie tak zdefiniowanego rozkładu jest bardzo trudne.

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Recognition of Monochrome Thermal Images of Synchronous Motor with the Application of Skeletonization and Classifier Based on Words

Cited by 13 publications

References 19 publications

Texture Based Automated Segmentation of Skin Lesions using Echo State Neural Networks

Texture Based Automated Segmentation of Skin Lesions using Echo State Neural Networks

The innovative design concept of thermal model for the calculation of the electromagnetic circuit of rotating electrical machines

The Use Of Multifrequency Induction Heating For Temperature Distribution Control

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