Iran University of Science & Technology (IUST)

Rolling Stock Department (SRE)

Iran University of Science & Technology (IUST), M.Sc., 2010-2012

Title: “Fault detection of rail surface using axle-box acceleration”

Supervisors: Prof. Habibollah Molatefi and Prof. Asghar Nasr

 

 

 

 

 

 

 

 

 

 

 

 

 

 

About project:

Evaluating rail surface defects is usually done by visual inspection which has two major disadvantages: human    error and in most of the times, the defects can only be identified in severe levels which leads to costly          maintenance operations.

Axle-box acceleration (ABA) technic has recently found wide application in rail industry especially condition    monitoring of railway tracks. Despite its vast applications and advantages, there are still limits using this method. One of the most important ones is constant speed. This thesis deals with this problem with the help of vertical and lateral accelerations and Hilbert-Huang transform. Tehran Metro is chosen as a case study in which both axle load and velocity varies with time.

 

Publications:

Morad Shadfar, Habibollah Molatefi and Asghar Nasr, “Effects of wheelset structural vibration on axle-box acceleration measurement”, proceeding of 6^th International Conference on Recent Advances in Railway Engineering (ICRARE 2019), Tehran, Iran, June 8-9, 2019

 

Morad Shadfar, Habibollah Molatefi and Asghar Nasr, “Preliminary study on the application of axle-box acceleration technique for detecting rail surface defects (a case study for Tehran metro)”, proceeding of 8^th International conference on Acoustic and Vibration (ISAV 2018), Tehran, Iran, December 4-5, 2018

 

 

Morad Shadfar

PhD. student