Research on measurement of film thickness of lithium battery by laser in unknown noise environment

Gong Chen; Sen Chen; Qingying Wu; Qihang Leng; Yonghua He; Yang Xu

doi:10.1142/S021798491840064X

Research on measurement of film thickness of lithium battery by laser in unknown noise environment

Gong Chen, Sen Chen, Qingying Wu, Qihang Leng, Yonghua He, Yang Xu

Research output: Contribution to journal › Article › peer-review

Abstract

Factors affecting the on-line detecting thickness of lithium battery pole by laser sensor are mainly the accuracy of the sensor, the inherent frequency and dynamic error of the C scanning mechanism. Improved highly redundant optimal atomic parameters for the thickness of lithium battery pole piece under different circumstances are obtained. The best atomic parameters are extracted in the training phase to construct the sub-optimal atomic function. The results show that, compared with wavelet algorithm and conventional sparse decomposition algorithm, the improved sparse decomposition algorithm has better denoising performance under the condition of lacking prior knowledge.

Original language	English
Article number	1840064
Journal	Modern Physics Letters B
Volume	32
Issue number	34-36
DOIs	https://doi.org/10.1142/S021798491840064X
Publication status	Published - 30 Dec 2018
Externally published	Yes

Keywords

Laser sensor
least mean square
lithium battery pole
sparse decomposition

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10.1142/S021798491840064X

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title = "Research on measurement of film thickness of lithium battery by laser in unknown noise environment",

abstract = "Factors affecting the on-line detecting thickness of lithium battery pole by laser sensor are mainly the accuracy of the sensor, the inherent frequency and dynamic error of the C scanning mechanism. Improved highly redundant optimal atomic parameters for the thickness of lithium battery pole piece under different circumstances are obtained. The best atomic parameters are extracted in the training phase to construct the sub-optimal atomic function. The results show that, compared with wavelet algorithm and conventional sparse decomposition algorithm, the improved sparse decomposition algorithm has better denoising performance under the condition of lacking prior knowledge.",

keywords = "Laser sensor, least mean square, lithium battery pole, sparse decomposition",

author = "Gong Chen and Sen Chen and Qingying Wu and Qihang Leng and Yonghua He and Yang Xu",

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year = "2018",

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doi = "10.1142/S021798491840064X",

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AU - Chen, Gong

AU - Chen, Sen

AU - Wu, Qingying

AU - Leng, Qihang

AU - He, Yonghua

AU - Xu, Yang

PY - 2018/12/30

Y1 - 2018/12/30

N2 - Factors affecting the on-line detecting thickness of lithium battery pole by laser sensor are mainly the accuracy of the sensor, the inherent frequency and dynamic error of the C scanning mechanism. Improved highly redundant optimal atomic parameters for the thickness of lithium battery pole piece under different circumstances are obtained. The best atomic parameters are extracted in the training phase to construct the sub-optimal atomic function. The results show that, compared with wavelet algorithm and conventional sparse decomposition algorithm, the improved sparse decomposition algorithm has better denoising performance under the condition of lacking prior knowledge.

AB - Factors affecting the on-line detecting thickness of lithium battery pole by laser sensor are mainly the accuracy of the sensor, the inherent frequency and dynamic error of the C scanning mechanism. Improved highly redundant optimal atomic parameters for the thickness of lithium battery pole piece under different circumstances are obtained. The best atomic parameters are extracted in the training phase to construct the sub-optimal atomic function. The results show that, compared with wavelet algorithm and conventional sparse decomposition algorithm, the improved sparse decomposition algorithm has better denoising performance under the condition of lacking prior knowledge.

KW - Laser sensor

KW - least mean square

KW - lithium battery pole

KW - sparse decomposition

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JO - Modern Physics Letters B

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IS - 34-36

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ER -

Research on measurement of film thickness of lithium battery by laser in unknown noise environment

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