Fault Tolerant Bio-Inspired System Controlled Modular Switched Reluctance Machine

Szabó, Loránd; Ruba, Mircea; Szász, Csaba; Chindris, V.; Husi, Géza

doi:10.7305/automatika.2014.01.105

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…Therefore, quantitative fault diagnosis is an effective method to describe the fault evolution process. The existing quantitative fault diagnosis methods are finite element model method, least square method, modal expansion method, harmonic theory, information entropy and support vector machines, among others [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

Zhao

Yao

et al. 2018

Entropy

101

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A damage degree identification method based on high-order difference mathematical morphology gradient spectrum entropy (HMGSEDI) is proposed in this paper to solve the problem that fault signal of rolling bearings are weak and difficult to be quantitatively measured. In the HMGSEDI method, on the basis of mathematical morphology gradient spectrum and spectrum entropy, the changing scale influence of structure elements to damage degree identification is thoroughly analyzed to determine its optimal scale range. The high-order difference mathematical morphology gradient spectrum entropy is then defined in order to quantitatively describe the fault damage degree of bearing. The discrimination concept of fault damage degree is defined to quantitatively describe the difference between the high-order differential mathematical entropy and the general mathematical morphology entropy in order to propose a fault damage degree identification method. The vibration signal of motors under no-load and load states are used to testify the effectiveness of the proposed HMGSEDI method. The experiment shows that high-order differential mathematical morphology entropy can more effectively identify the fault damage degree of bearings and the identification accuracy of fault damage degree can be greatly improved. Therefore, the HMGSEDI method is an effective quantitative fault damage degree identification method, and provides a new way to identify fault damage degree and fault prediction of rotating machinery.

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Section: Introductionmentioning

confidence: 99%

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

Zhao

Yao

et al. 2018

Entropy

101

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Building Mechatronics Research Centre as energy aware Intelligent Space

Husi

Szemes

David

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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In the University of Debrecen, the Building Mechatronics Research Centre as intelligent building provides research infrastructure for building automation simulations. The infrastructure is considered as an energy aware Intelligent Space (later iSpace) with research, education and living area. The building is equipped with surveillance and security system and renewable energy utilization machines, such as heat pumps, solar and PV panel systems. We investigate measurements of different energy efficiency operation scenarios of heat pumps, solar collectors and wind turbine. Energy consumption habits of the education and living area of the building can be observed, measured and simulated.The article presents the methods to obtain higher energy consumption awareness for inhabitants through the examination of consumers' behaviours. The aim of the paper is to investigate and measure the quantitative features of energy consumption. Energy saving can be reached by on demand energy control and inhabitants' requirements based intelligent building management. Also reference building models can be set up for energy performance certificates and examination.

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Fault Tolerant Bio-Inspired System Controlled Modular Switched Reluctance Machine

Cited by 2 publications

References 32 publications

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

Building Mechatronics Research Centre as energy aware Intelligent Space

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