Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming

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@Article{Chen:2005:MSSP,

• author = "Peng Chen and Masatoshi Taniguchi and Toshio Toyota and Zhengja He",
• title = "Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming",
• journal = "Mechanical Systems and Signal Processing",
• year = "2005",
• volume = "19",
• pages = "175--194",
• number = "1",
• month = jan,
• keywords = "genetic algorithms, genetic programming, Machinery fault diagnosis, Unsteady operating condition, Instantaneous power spectrum, Relative crossing information, Rolling bearing",
• ISSN = "0888-3270",
• owner = "wlangdon",
• broken = "http://www.sciencedirect.com/science/article/B6WN1-4BKPSGD-2/2/6c68916b11c23706a7fee9f780c0e637",
• DOI = "doi:10.1016/j.ymssp.2003.11.004",
• abstract = "This paper proposes a fault diagnosis method for plant machinery in an unsteady operating condition using instantaneous power spectrum (IPS) and genetic programming (GP). IPS is used to extract feature frequencies of each machine state from measured vibration signals for distinguishing faults by relative crossing information. Excellent symptom parameters for detecting faults are automatically generated by the GP. The excellent symptom parameters generated by GP can sensitively reflect the characteristics of signals for precise diagnosis. The method proposed is verified by applying it to the fault diagnosis of a rolling bearing.",
• notes = "also known as \cite{CHEN2005175}",

}

Genetic Programming entries for Peng Chen Masatoshi Taniguchi Toshio Toyota Zhengja He

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