A Developed Convolutional Neural Network Architecture for Condition Monitoring

Ibrahim Alqatawneh, Rongfeng Deng, Khalid Rabeyee, Zhang Chao, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A Convolutional Neural Network is a deep learning model that is an active research topic and is being applied extensively to analyse vibration data for condition monitoring. However, existing CNN architectures for automated fault diagnosis have some limitations, such having too few layers or converting the raw vibration data into a two-dimensional form, etc. To address these limitations, this paper develops a one-dimensional CNN architecture with three feature extraction layer groups (CNN-Three) for automated fault diagnosis. The developed CNN-Three architecture uses one-dimensional raw vibration data as an input to train the developed model. A wide convolutional filter in the first feature extraction layer group is used to cover a longer length of the time series inputs and suppress noise effects. Then, multilayer narrow convolutional filters size corresponding to the second and third feature extraction layer groups are used to extract more detailed features and improve the network performance. The effectiveness of the developed CNN-Three architecture is evaluated through analysis of simulated and experimental vibration data. The results demonstrate that the CNN-Three architecture achieves higher diagnostic accuracy and outperforms three recent CNN architectures reported in the literature.

Original languageEnglish
Title of host publication2021 26th International Conference on Automation and Computing
Subtitle of host publicationSystem Intelligence through Automation and Computing, ICAC 2021
EditorsChenguang Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781860435577
ISBN (Print)9781665443524
Publication statusPublished - 15 Nov 2021
Event26th International Conference on Automation and Computing - University of Portsmouth, Portsmouth, United Kingdom
Duration: 2 Sep 20214 Sep 2021
Conference number: 26


Conference26th International Conference on Automation and Computing
Abbreviated titleICAC 2021
Country/TerritoryUnited Kingdom
Internet address


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