Data analytics accessibility and predictability in Singapore’s rail sector

• Main Author: Chia, Ethan Cheng Wai
• Other Authors: Ling Keck Voon
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Predictive maintenance; Railway; Rolling stock; Signalling; REAMS; Land Transport Authority; Communications
• Online Access: https://hdl.handle.net/10356/177099
• Institution: Nanyang Technological University

This Final Year Project (FYP) evaluates the accessibility of performing data analysis in Singapore’s rail network, yet not compromising on the data-driven experience. Singapore’s rail network has a plethora of rail systems that host their own database of logs, comprising of Events and Alarms. Maint...