eprintid: 4446
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/44/46
datestamp: 2023-11-09 16:16:07
lastmod: 2023-11-09 16:16:07
status_changed: 2023-11-09 15:58:27
type: article
metadata_visibility: show
creators_name: Abd Majid, M.A.
creators_name: Wassan, R.K.
creators_name: Mokhtar, A.A.
title: Semi-quantitative risk assessment matrix for rotating equipment
ispublished: pub
keywords: Assessment strategies; Gas turbine compressors; Oil and Gas Industry; Plant availability; Production requirements; Risk matrix; Rotating equipment; Semi-quantitative risk assessment, Equipment; Industrial engineering; Industrial research; Industry; Risk assessment, Rotating machinery
note: cited By 2; Conference of 1st International Materials, Industrial, and Manufacturing Engineering Conference, MIMEC 2013 ; Conference Date: 4 December 2013 Through 6 December 2013; Conference Code:101778
abstract: In petrochemical, power generation, oil and gas industries and in variety of other sectors rotating equipments are in use to fulfill production requirements. Failure of rotating equipment, especially in such industries can result to risk related issues. A well implemented rotating equipment risk assessment strategy is most needed to achieve desired plant availability and efficiency. In this research semi-quantitative risk assessment approach is proposed to evaluate the risk of rotating equipment and categorize their associated failure risks. Borda ranking is adopted to evaluate the risk in order to minimize risk ties which exist in risk matrix. Compressor is taken as case study to show the applicability of the proposed method for rotating equipment. It was observed that risks of selected failure modes of gas turbine compressor fall in the categories of serious and medium levels based on risk matrix. Rotor bend distortion, blade failure or inlet guide vane failures needed more attention for treatment based on Borda ranking. © (2014) Trans Tech Publications, Switzerland.
date: 2014
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891542841&doi=10.4028%2fwww.scientific.net%2fAMR.845.647&partnerID=40&md5=a934ccd914385fd24a9a910ab97a2595
id_number: 10.4028/www.scientific.net/AMR.845.647
full_text_status: none
publication: Advanced Materials Research
volume: 845
place_of_pub: Johor Bahru
pagerange: 647-651
refereed: TRUE
isbn: 9783037859360
issn: 10226680
citation:   Abd Majid, M.A. and Wassan, R.K. and Mokhtar, A.A.  (2014) Semi-quantitative risk assessment matrix for rotating equipment.  Advanced Materials Research, 845.  pp. 647-651.  ISSN 10226680