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Master's Degree in Sustainable Development in Switzerland: The first master course comprising three faculties
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Hidrotic Ectodermal Dysplasia: Evaluation through Magnetic Resonance Imaging (MRI)
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타이컴 개발과 프로그래머블 논리 소자
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Genetic association studies suggest TSH influences cortical bone development in childhood independently of thyroid hormone levels
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Lack of Association Between Helicobacter pylori Infection and Oral Lichen Planus
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초고온 미생물 발효공정을 통한 생화학적 반응열의 친환경 바이오에너지 하베스팅에 대한 소고(小考)
- 검색키워드
- 저자 : Pons-Llinares, Joan (검색결과 2 건)
- 무료
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- 유료
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Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms
Antonino-Daviu, Jose A.,Pons-Llinares, Joan,Lee, Sang Bin IEEE 2016 IEEE transactions on industry applications Vol.52 No.5
<P>A number of field case studies for rotor fault diagnosis on medium-voltage induction motors operating in a petrochemical plant are presented in this paper. The methodology employed is based on analyzing the induction motor startup current with advanced signal processing tools (continuous transforms) that enable a capture of a “complete picture” of the rotor condition. Indeed, unlike the classical tools that often rely on the detection of few fault frequencies, these new tools allow extraction of the evolution of a wide range of fault components during the startup transient and steady-state evolutions, which enables improved reliability. This is crucial in medium-high-voltage motors, where a false diagnosis may result in significant expense due to inspection, repair, or forced outage. An additional contribution of the study is its immunity to external voltage supply disturbances, which introduce components that are not related to the failure and which are difficult to detect with classical tools. The results of this study prove how the advanced continuous tools enable an improved visualization of the fault components, distinguishing them from the other components that are not linked to the failure.</P>
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Reliable Detection of Induction Motor Rotor Faults Under the Rotor Axial Air Duct Influence
Yang, Chanseung,Kang, Tae-June,Hyun, Doosoo,Lee, Sang Bin,Antonino-Daviu, Jose A.,Pons-Llinares, Joan IEEE 2014 IEEE transactions on industry applications Vol.50 No.4
<P>Axial cooling air ducts in the rotor of large induction motors are known to produce magnetic asymmetry and can cause steady-state current or vibration spectrum analysis based fault detection techniques to fail. If the number of <B><I>axial air ducts</I></B> and that of <B><I>poles</I></B> are identical, frequency components that overlap with that of rotor faults can be produced for healthy motors. False positive rotor fault indication due to axial ducts is a common problem in the field that results in unnecessary maintenance cost. However, there is currently no known test method available for distinguishing rotor faults and false indications due to axial ducts other than offline rotor inspection or testing. Considering that there is no magnetic asymmetry under high slip conditions due to limited flux penetration into the rotor yoke, the detection of broken bars under the start-up transient is investigated in this paper. A wavelet-based detection method is proposed and verified on custom-built lab motors and 6.6-kV motors misdiagnosed with broken bars via steady-state spectrum analysis. It is shown that the proposed method provides the reliable detection of broken bars under the start-up transient independent of axial duct influence.</P>
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