Kernel extreme learning machine with iterative picking scheme for failure diagnosis of a turbofan engine
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DOI: 10.1016/j.ast.2019.105539
Abstract: Abstract The kernel extreme learning machine (KELM) has attracted attention for failure diagnosis of turbofan engines, but its application for time-sensitive scenarios is inherently limited by its lack of sparseness. The original KELM constructs the… read more here.
Keywords: diagnosis turbofan; extreme learning; failure diagnosis; kernel extreme ... See more keywords