An investigation of conventional machine learning approaches vs deep learning approaches in manufacturing context : bearing fault detection

• المؤلف الرئيسي: Loy, Chee Wah
• مؤلفون آخرون: Qian Kemao
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/137915

In the realisation that ball bearing fault is the number one fault that most commonly occur in industrial applications and the potential hazard that it can bring, this paper aims to tackle the problem of bearing fault detection. With the recent development and boom of Deep-learning approaches in...