Deep Learning Diagnosis of Membrane Fouling Based on the Gramian Angular Field Method

doi:10.1109/ICDSCA59871.2023.10392992

	Deep Learning Diagnosis of Membrane Fouling Based on the Gramian Angular Field Method
	Zeng, Jingxiao
	2023
会议名称	2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023
会议录名称	2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023
页码	1367-1371
会议日期	October 27, 2023 - October 29, 2023
会议地点	Dalian, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	Because of the complex formation mechanism of MBR (Membrane Bioreactor) membrane fouling, the existing membrane fouling diagnostic model lacks the performance of spatiotemporal multi-feature fusion, making it difficult to judge the membrane fouling diagnosis under complex working conditions accurately. Therefore, this paper proposes a diagnostic model based on ResNet learning architecture and Gramian Angular Field aiming to improve the accuracy and reliability of membrane fouling diagnosis. First, the contaminated data are transformed using the Gramian Angular Field (GAF) method, and the effective features of the temporal series in them are analyzed and preserved. Then, the processed images are fed into ResNet incorporating the spatiotemporal attention mechanism for feature extraction. Finally, the fault codes are output using the SoftMax classifier and the performance of the model is compared with other networks. The experimental results show that the ResNet model incorporating the Gramian Angular Field method has high comprehensive performance and provides a new solution for membrane fouling failure analysis. © 2023 IEEE.
DOI	10.1109/ICDSCA59871.2023.10392992
收录类别	EI
语种	英语
EI入藏号	20240815570149
原始文献类型	Conference article (CA)
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/170009
专题	兰州理工大学
通讯作者	Zeng, Jingxiao
作者单位	Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Zeng, Jingxiao. Deep Learning Diagnosis of Membrane Fouling Based on the Gramian Angular Field Method[C]:Institute of Electrical and Electronics Engineers Inc.,2023:1367-1371.