Title

Operational Performance Monitoring Of The Critical Mechanical Components Of A Movable Bridge

Abstract

The lack of a comprehensive study devoted to the operational monitoring of movable bridges in the context of civil infrastructure motivates the authors to track and monitor the functionality of some of the most critical components, including gearbox and rack and pinion of a representative movable bridge. In this study, the efficiency of two data-driven techniques, Moving Principal Component Analysis (MPCA) and Robust Regression Analysis (RRA), are investigated for fault detection in mechanical components of a movable bridge. These two algorithms are improved and modified in order to be effective for long term monitoring of mechanical components. Another unique aspect of this study is that some of the critical and common damages are induced on machinery components in real life and the data are collected under both baseline and damage conditions. The simulated damage scenarios include extracting oil from gearbox as well as removing bolts from rack and pinion. The damage detectability of MPCA and RRA are tested with the data from a real-life structure. As a result, the outcomes of this study revealed that the modified MPCA and modified RRA algorithms are both effective for fault detection and diagnosis of changes in mechanical components of the movable bridge. © 2014 Taylor & Francis Group.

Publication Date

1-1-2014

Publication Title

Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014

Number of Pages

676-682

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84906669352 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84906669352

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