Actuator layout design with gain-oriented modal selection for sectional offset reflector antennas

Zhang, Shuxin; Liu, Zihan; Bao, Hong; Song, Jinlin

doi:10.1007/s00158-021-02950-y

Cited by 2 publications

(1 citation statement)

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“…To accurately extract the fault features of complex signals, it is necessary to establish an appropriate objective function to ensure that all fault information can be extracted and contains less interference. Therefore, on the basis of CIC, a new objective function is constructed, which is expressed as follows [24]:…”

Section: Avmdmentioning

confidence: 99%

Research on feature extraction and separation of mechanical multiple faults based on adaptive variational mode decomposition and comprehensive impact coefficient

Zhang¹,

Li²,

Li³

et al. 2022

Meas. Sci. Technol.

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Because it is difficult to extract multiple fault features from mechanical equipment under the interference of background noise and the parameters used in variational mode decomposition (VMD) must be determined in advance, a multiple fault separation method based on adaptive variational mode decomposition (AVMD) is proposed in this research to address these issues. Firstly, a novel index, known as the comprehensive impact coefficient (CIC), is established to properly identify the signal's fault features. Thereafter, the fitness function of the sparrow search algorithm is developed based on the CIC, and the VMD parameters selection problem is solved. Finally, the decomposed modal components are subjected to envelop demodulation analysis, and the failure type of the bearing is assessed through the envelope spectrum. The simulation and experimental results reveal that the AVMD method can effectively separate all single faults from multiple faults, thus accurately diagnosing bearing faults.

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Section: Avmdmentioning

confidence: 99%