研究目的
To realize lithium battery film thickness measurement with improved accuracy through joint denoising method using multi-scale wavelet based on threshold value judgment and recursive least-squares (RLS).
研究成果
The joint denoising method combining multi-scale wavelet based on threshold value judgment and RLS significantly improves the measurement accuracy of lithium battery film thickness by 6% compared to single multi-scale wavelet denoising, making it more suitable for coating film thickness measurement.
研究不足
The study focuses on the noise suppression in lithium battery electrode measurement but does not address the potential limitations in terms of the applicability of the proposed method to other types of measurements or materials.
1：Experimental Design and Method Selection:
The study proposes a joint denoising method combining multi-scale wavelet based on threshold value judgment and RLS for lithium battery film thickness measurement.
2：Sample Selection and Data Sources:
The experiment involves dynamic scanning of lithium battery coating by laser sensor.
3：List of Experimental Equipment and Materials:
Laser displacement measurement system, C-type travel mechanism, CCD, signal processing circuit, computer system, scanning control system, feedback system, and objects’ thickness control system.
4：Experimental Procedures and Operational Workflow:
Dynamic scanning system is established to control C-type travel mechanism for dynamic scanning of lithium battery coating by laser sensor. Online measurement is realized via laser sensor’s triangle displacement method. Dynamic denoising is done via improved multi-resolution wavelet algorithm.
5：Data Analysis Methods:
The study uses multi-scale wavelet denoising and RLS noise reduction for data processing.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
