Gene Selection for Cancer Classification Using Sparse Representation Coefficient and MRMR Criterion

Geng, Yaojun; Zhang, Junying; Yuan, Xiguo; Shang, Junliang

doi:10.4156/ijact.vol4.issue8.14

IJACT

2012

DOI: 10.4156/ijact.vol4.issue8.14

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Gene Selection for Cancer Classification Using Sparse Representation Coefficient and MRMR Criterion

Yaojun Geng¹,

Junying Zhang²,

Xiguo Yuan³

et al.

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Transient analysis of marine propulsion motor and shaft under abnormal conditions

Oh¹,

Kim²,

Kim³

2016

Journal of the Korean Society of Marine Engineering

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Recently, electric propulsion systems are been increasingly used in large cruise ships and merchant vessels. When abnormal electrical conditions occur in the motor of an electric propulsion ship, they can cause serious damage to the motor and propeller shaft. Research on abnormal conditions of propulsion motors used in electric propulsion vessels and electric ships difficult to find. In this study, a mathematical model of the electric propulsion system is proposed to analyze transient phenomena that occur in the case of electric propulsion motor or propeller shaft malfunction. A synchronous motor was used in the MATLAB computer simulation of this study. In the event of electrical malfunction of the electric propulsion motor at rated operation, over current occurs in the condition of 1 phase ground, over torque occurs at 3 and 2 phases ground and over current and torque occur when exciting power fails at rated operation.

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Transient analysis of marine propulsion motor and shaft under abnormal conditions

Oh¹,

Kim²,

Kim³

2016

Journal of the Korean Society of Marine Engineering

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show abstract

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Gene Selection for Cancer Classification Using Sparse Representation Coefficient and MRMR Criterion

Cited by 1 publication

References 0 publications

Transient analysis of marine propulsion motor and shaft under abnormal conditions

Transient analysis of marine propulsion motor and shaft under abnormal conditions

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