Convolution Diagnosis Model of Centrifugal Pump Based on Fractal Dimension
Xiaopeng Liu1Bingxiang Sun1Jiuchun Jiang2,3Weige Zhang1Chunlu Zhao4Yuzhang Zhao5Benqiang Mao5Jian Li5Zhisheng Wang5
1. National Active Distribution Network Technology Research Center (NANTEC),Beijing Jiaotong University2. Shenzhen Precise Testing Technology Co.Ltd.3. School of Electrical and Electronic Engineering,Hubei University of Technology4. China Railway Jinan Group Co Ltd5. United AI Technology Co.Ltd.
摘要：Nowadays,more and more centrifugal pumps are used in the industrial domain.Normal operation of centrifugal pumps is also the key to maintain stable operation of production and process.So it is very important to monitor the operation status of centrifugal pumps real time on-line.In order to diagnose the fault of centrifugal pumps,we proposed a Convolutional Neural Network（CNN） fault diagnosis model,based on Fractal Dimension（FD）features.Firstly,we collected the vibration signal of centrifugal pumps and preprocessed them.Then we used the Empirical Mode Decomposition（EMD） to calculate the fractal dimension and the fractal matrix of the signal.Finally,we constructed the CNN model to diagnose and classify the fault of centrifugal pumps.The experiment shows that the accuracy of the proposed model can reach over 90%.
会议名称：
2021 5th International Conference on Electrical,Automation and Mechanical Engineering（EAME2021）
会议时间：
2021-09-17
会议地点：
中国广东广州
- 专辑：
工程科技Ⅱ辑
- 专题：
机械工业
- DOI：
10.26914/c.cnkihy.2021.044414
- 分类号：
TH311
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