Compressed feature reconstruction for localized fault diagnosis with generalized minimax-concave penalty

Lifa Deng; Huibin Lin; Zhongze Liu; Hongchang Wang

doi:10.1016/j.measurement.2022.111622

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Compressed feature reconstruction for localized fault diagnosis with generalized minimax-concave penalty

Lifa Deng Huibin Lin Zhongze Liu Hongchang Wang

Year: 2022 Journal: Measurement Vol: 200 Pages: 111622-111622 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2022.111622

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Keywords:

Compressed sensing Minimax Impulse (physics) Regularization (linguistics) Signal reconstruction Algorithm Computer science Feature selection Pattern recognition (psychology) Mathematics Mathematical optimization Artificial intelligence Signal processing Physics

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Integrated Circuits and Semiconductor Failure Analysis

Physical Sciences → Engineering → Electrical and Electronic Engineering

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

Compressed feature reconstruction for localized fault diagnosis with generalized minimax-concave penalty

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