A hybrid approach for nondestructive assessment and design optimisation and testing of in-service machinery
Authors: Abdul Rahman, A.G., Noroozi, S., Dupac, M., Al-Attas, S.M.S.M. and Vinney, J.E.
Journal: Nondestructive Testing and Evaluation
Volume: 28
Issue: 1
Pages: 44-57
eISSN: 1477-2671
ISSN: 1058-9759
DOI: 10.1080/10589759.2012.694886
Abstract:Complex rotating machinery requires regular condition monitoring inspections to assess their running conditions and their structural integrity to prevent catastrophic failures. Machine failures can be divided into two categories. First is the wear and tear during operation, they range from bearing defects, gear damage, misalignment, imbalance or mechanical looseness, for which simple condition-based maintenance techniques can easily detect the root cause and trigger remedial action process. The second factor in machine failure is caused by the inherent design faults that usually happened due to many reasons such as improper installation, poor servicing, bad workmanship and structural dynamics design deficiency. In fact, individual machines components are generally dynamically well designed and rigorously tested. However, when these machines are assembled on sight and linked together, their dynamic characteristics will change causing unexpected behaviour of the system. Since nondestructive evaluation provides an excellent alternative to the classical monitoring and proved attractive due to the possibility of performing reliable assessments of all types of machinery, the novel dynamic design verification procedure-based on the combination of in-service operation deflection shape measurement, experimental modal analysis and iterative inverse finite element analysis-proposed here allows quick identification of structural weakness, and helps to provide and verify the solutions. © 2013 Copyright Taylor and Francis Group, LLC.
Source: Scopus
A hybrid approach for nondestructive assessment and design optimisation and testing of in-service machinery
Authors: Rahman, A.G.A., Noroozi, S., Dupac, M., Al-Attas, S.M.S.M. and Vinney, J.E.
Journal: NONDESTRUCTIVE TESTING AND EVALUATION
Volume: 28
Issue: 1
Pages: 44-57
eISSN: 1477-2671
ISSN: 1058-9759
DOI: 10.1080/10589759.2012.694886
Source: Web of Science (Lite)
A hybrid approach for non-destructive assessment and design optimisation and testing of in service machinery
Authors: Rahman, A.G.A., Noroozi, S., Dupac, M. and Vinney, J.
Journal: Nondestructive Testing and Evaluation
ISSN: 1058-9759
Abstract:Complex rotating machinery requires regular condition monitoring inspections to assess their running conditions and their structural integrity in order to prevent catastrophic failures. Machine failures can be divided in to two categories. First is the wear and tear during operation, they range from bearing defects, gear damage, misalignment, imbalance, or mechanical looseness, for which simple condition based maintenance (CBM) techniques can easily detect the root cause and trigger remedial action process. The second factor in machine failure is caused by the inherent design faults which usually happened due to many reason such as improper installation, poor servicing, bad workmanship or structural dynamics design deficiency. In fact individual machines components are generally dynamically well designed and rigorously tested. However, when these machines are assembled on sight and linked together, their dynamic characteristics will change causing unexpected behaviour of the system. Since non-destructive evaluation provides an excellent alternative to the classical monitoring and proved attractive due to the possibility of performing reliable assessments of all types of machinery, the novel Dynamic Design Verification (DDV) procedure - based on the combination of in service Operation Deflection Shape (ODS) measurement, Experimental Modal Analysis and iterative inverse FEA - proposed here allows quick identification of structural weakness, help to provide and verify the solutions.
http://www.tandfonline.com/toc/gnte20/current
Source: Manual
Preferred by: John Vinney, Siamak Noroozi and Mihai Dupac