Výsledky vyhledávání - adaptive resilient stacked sparse autoencoder (ArSSAE)~

Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals

Autoři: Syahril Ramadhan Saufi Zair Asrar Bin Ahmad Mohd Salman Leong a další

Zdroj: IEEE Access, Vol 7, Pp 46885-46897 (2019)

Témata: Low speed, acoustic emission analysis, 0202 electrical engineering, electronic engineering, information engineering, TJ Mechanical engineering and machinery, bearing fault diagnosis, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, vibration analysis, adaptive resilient stacked sparse autoencoder (ArSSAE), TK1-9971

Popis souboru: application/pdf

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08684238.pdf
https://doaj.org/article/001aa5d8bb7e4294bfa5da5e2937348e

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample.

Autoři: Saufi, Syahril Ramadhan Ahmad, Zair Asrar Bin Leong, Mohd Salman a další

Zdroj: IEEE Transactions on Industrial Informatics; Oct2020, Vol. 16 Issue 10, p6263-6271, 9p

基于声信号的工业设备故障诊断研究综述. (Chinese)

Alternate Title: Review of Acoustic Signal-Based Industrial Equipment Fault Diagnosis. (English)

Autoři: 周玉蓉 张巧灵 于广增 a další

Zdroj: Journal of Computer Engineering & Applications; Apr2023, Vol. 59 Issue 7, p51-63, 13p

Témata: FAULT diagnosis, MANUFACTURING processes, INDUSTRIAL equipment, MACHINE learning, DEEP learning