About this document
IoT Railway Track Fault Detection by asokankpm522 is a document available to read on EtoBox.
The document discusses the development of an IoT-based autonomous railway track fault detection system that utilizes acoustic analysis to enhance traditional inspection methods. It highlights the importance of regular railway track health inspections to prevent accidents and improve safety, particularly in Pakistan, where manual inspections are prone to errors. The study demonstrates that machine learning techniques, especially multilayer perceptron, can effectively identify and localize track faults with h
- Author
- asokankpm522
- Language
- EN