Note: If you are using our 1D CNN App, please cite the following references:

Abdeljaber,O., Sassi, S., Avci, O., Kiranyaz, S., Ibrahim, A. A. and Gabbouj, M., Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring. IEEE Transactions on Industrial Electronics.
doi: 10.1109/TIE.2018.2886789

Abdeljaber, O., Avci, O., Kiranyaz, S., Gabbouj, M. and Inman, D.J. (2017). Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. Journal of Sound and Vibration, 388, pp.154-170.

Kiranyaz, S., Ince, T., & Gabbouj, M. (2016). Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks. IEEE Transactions on Biomedical Engineering, 63(3), 664-675.

Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., & Inman, D. J. (2018). Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks. Journal of Sound and Vibration, 424, 158-172. doi:10.1016/j.jsv.2018.03.008

Abdeljaber, O., Avci, O., Kiranyaz, S., Boashash, B., Sodano, H., & Inman, D. J. (2018). 1-D CNNs for structural damage detection: verification on a structural health monitoring benchmark data. Neurocomputing, 275, 1308-1317.

Use the following link to download the 1D CNN App:


Feel free to contact if you have any questions.