Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2130002(2024)

Inspection and Identification of Blades Using X-Ray Fluorescence Spectroscopy Combined with Random Forest

Tao Zhang1, Chunyu Li1、*, Hong Jiang2, Zhuo Yang1, Hongli Tian3, Xiaojing Liu3, and Wei Han3
Author Affiliations
  • 1Institite of Criminal Investigation, People's Public Security University of China, Beijing 100038, China
  • 2Criminal Investigation Department, Gansu Police Vocational College, Lanzhou , 730046, Gansu , China
  • 3Beijing Ancoren Technology Co., Ltd., Beijing 101102, China
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    References(12)

    [8] Li C Y, Liu J K, Jiang H et al. Study on physical evidence testing method of mask based on Raman spectroscopy[J]. Applied Laser, 42, 120-128(2022).

    [9] Li Y, Lan M W, Zhao G Q et al. Study on prediction model of utility boiler efficiency based on PCA-PSO-LSSVM[J]. Thermal Power Generation, 50, 43-50(2021).

    [11] Chen Z, Li C Y, Lü H et al. Rapid identification of cable sheath based on machine learning and X-ray fluorescence spectroscopy[J]. Applied Laser, 42, 146-155(2022).

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    Tao Zhang, Chunyu Li, Hong Jiang, Zhuo Yang, Hongli Tian, Xiaojing Liu, Wei Han. Inspection and Identification of Blades Using X-Ray Fluorescence Spectroscopy Combined with Random Forest[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2130002

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 5, 2024

    Accepted: Mar. 22, 2024

    Published Online: Nov. 11, 2024

    The Author Email: Chunyu Li (lichunyu@ppsuc.edu.cn)

    DOI:10.3788/LOP240675

    CSTR:32186.14.LOP240675

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