Intelligent fault diagnosis system design and implementation of diaphragm pump based on artificial intelligence. Issue 1 (1st January 2022)

• Record Type: Journal Article
• Authors: Xu, Xiaoqing; Guo, Zhihao; Liang, Xiaowei
• Is Part Of: Journal of physics. Volume 2181:Issue 1(2022)
• Publication Date: 2022-01-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2181/1/012046
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This article designs and implements a fault diagnosis system for diaphragm pump. The key components of the diaphragm pump are equipped with three-axis vibration intelligent sensor to collect vibration data, the edge side completes the data pre-processing, and then transmits it to the cloud platform through NBIoT. For the non-linear, non-smooth complex system, the time frequency representation is obtained by continuous wavelet transformation, after compressing the time frequency representation as the input of the two-dimensional neural network model, using the two-dimensional convolutional neural network model for training and monitoring, to complete the identification and positioning of diaphragm pump fault.