ERA

Download the full-sized PDF of Reliability Centered Maintenance (RCM) and Ultrasonic Leakage Detection (ULD) as a maintenance and condition monitoring technique for freight rail airbrakes in cold weather conditionsDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R38911W6S

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

Reliability Centered Maintenance (RCM) and Ultrasonic Leakage Detection (ULD) as a maintenance and condition monitoring technique for freight rail airbrakes in cold weather conditions Open Access

Descriptions

Other title
Subject/Keyword
Reliability Centered Maintenance
Leakage Detection
Ultrasonic
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Poddar,Vivek
Supervisor and department
Lipsett, Michael (Mechanical Engineering)
Hendry, Michael (Civil Engineering)
Examining committee member and department
Lipsett, Michael (Mechanical Engineering)
Tian, Zhigang (Mechanical Engineering)
Hendry, Michael (Civil Engineering)
Department
Department of Mechanical Engineering
Specialization
Engineering Management
Date accepted
2014-12-18T10:53:17Z
Graduation date
2015-06
Degree
Master of Science
Degree level
Master's
Abstract
Freight rail airbrakes need improvement in reliability to reduce failures, which can lead to harm to the environment, loss of human life, and a negative impact on the economy. This research focuses on identifying the failures of airbrakes using a Reliability Centered Maintenance (RCM) framework, which uses Failure Modes and Effects Analysis (FMEA) to identify and rank failures. For the purpose of our research, the FMEA result of railroad operating companies was used to research on condition-monitoring techniques for airbrake leakages. Ultrasound Leakage Detection (ULD) is presented as an alternative to the soap and bubble test, as it is a more effective, proactive method to locate and quantify leakages. Experiments were conducted both in the field and in laboratory with simulated and original components to qualitatively and quantitatively evaluate and verify the implications of ULD in cold weather conditions. Correlations between operating pressure, temperature, leakage orifice size, flow-rate and ultrasound intensity were performed to analyze interdependencies. Principal Component Analysis was applied on the spectral features of dynamic sound signatures to reduce the number of variables and find the correlation between them. The contribution that the frequency ranges made to the factors was estimated to find those having significant impact on spectral feature value for different levels of a particular operating variable. For the sum of contributions from individual spectral features, the frequency range of 2400 – 2500 Hz has the maximum contribution. Frequency range, 1100 – 1200 Hz can be used as a feature for discriminating orifice size, as it has 46% contribution for the Root Mean Square (RMS) value of Power Spectral Density (PSD). The results of this research compares the contribution values of frequency ranges, but it does not state the value at which the readings become significant. With extensive quantitative research on the contribution of frequency ranges and an operational inspection strategy, ULD will result in an effective detection method for airbrake leakages in rail service that will be useful for assessing leakage location and severity with more accuracy. This will facilitate reliable airbrakes operations at severe weather and topographical conditions.
Language
English
DOI
doi:10.7939/R38911W6S
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2014-12-18T17:53:20.501+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (PDF/A)
Mime type: application/pdf
File size: 6331111
Last modified: 2016:06:16 17:09:33-06:00
Filename: Poddar_Vivek_201412_MSc.pdf
Original checksum: f2af4c22efd91dbac618c56c4b68c1f3
Activity of users you follow
User Activity Date