Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets
Authors: Latif, J., Khan, Z.A., Nazir, M.H., Stokes, K. and Plummer, J.
Journal: Structural Health Monitoring
Volume: 18
Issue: 4
Pages: 1056-1073
eISSN: 1741-3168
ISSN: 1475-9217
DOI: 10.1177/1475921718773524
Abstract:The ambiguous nature of meteorological parameters in uncontrolled environmental conditions makes it difficult to determine the structural integrity of stationary and mobile assets. The weather conditions for large vehicles, at The Tank Museum at Bovington, UK, which are operating in controlled and uncontrolled environmental conditions are investigated through weather history and corrosion monitoring techniques applied to large military vehicles by using linear polarisation resistance method. Corrosion initiation and propagation was found on several occasions during the operation of large vehicles within uncontrolled environment due to critical level of metrological parameters including salinity, relative humidity and rainfall. Comprehensive solutions have been proposed to detect damage initiation at the earliest possible stage to prompt maintenance professionals to take necessary actions to avoid damage. Early detection techniques will help to prolong the service life of large vehicles or metal structures which are operating or installed remotely. The analysis of diffusion of salt particles into coating during summer and winter season is also presented by estimating the salt concentration by taking linear relationship between wind speed and salt deposition rate based on ISO classification of airborne salinity. The proposed solutions can be applied to valuable assets operating in coastal, non-coastal and near the sea regions to predict and estimate the damage. The research will directly impact the maintenance and reliability of the automotive, oil and gas pipelines, aerospace and defence applications through remote condition monitoring technique.
https://eprints.bournemouth.ac.uk/30552/
Source: Scopus
Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets
Authors: Latif, J., Khan, Z.A., Nazir, M.H., Stokes, K. and Plummer, J.
Journal: STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
Volume: 18
Issue: 4
Pages: 1056-1073
eISSN: 1741-3168
ISSN: 1475-9217
DOI: 10.1177/1475921718773524
https://eprints.bournemouth.ac.uk/30552/
Source: Web of Science (Lite)
Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets
Authors: Latif, J., Khan, Z., Nazir, H., Stokes, K. and Plummer, J.
Journal: Structural Health Monitoring
Volume: 18
Issue: 4
Pages: 1056-1073
Publisher: SAGE Publications
ISSN: 1475-9217
DOI: 10.1177/1475921718773524
Abstract:The ambiguous nature of meteorological parameters in uncontrolled environmental conditions makes it difficult to determine the structural integrity of stationary and mobile assets. The weather conditions for large vehicles, at The Tank Museum at Bovington United Kingdom, which are operating under controlled and uncontrolled environmental conditions are investigated through weather history and corrosion monitoring techniques applied to large military vehicles by using linear polarisation resistance method. Corrosion reactions were found on several occasions during the operation of large vehicle within uncontrolled environment due to critical level of metrological parameters including salinity, relative humidity and rainfall. Comprehensive solutions have been proposed to detect damage initiation at the earliest possible stage to prompt maintenance professionals to take necessary actions to avoid damage. Early detection techniques will help to prolong the service life of large vehicles or metal structures which are operating or installed remotely. The analysis of diffusion of salt particles into coating during summer and winter season is also presented by estimating the salt concentration by taking linear relationship between wind speed and salt deposition rate based on ISO classification of airborne salinity. The proposed solutions can be applied to valuable assets operating in both non- coastal and coastal regions, near the sea, to predict and estimate the damage.
https://eprints.bournemouth.ac.uk/30552/
https://journals.sagepub.com/eprint/X5GKTDHKYJZQUFVINN27/full
Source: Manual
Condition Monitoring and Predictive Modelling of Coating Delamination within Remote and Stationary Assets
Authors: Latif, J., Khan, Z.A., Nazir, M.H., Stokes, K. and Plummer, J.
Journal: Structural Health Monitoring
Volume: 18
Issue: 4
Pages: 1056-1073
ISSN: 1475-9217
Abstract:The ambiguous nature of meteorological parameters in uncontrolled environmental conditions makes it difficult to determine the structural integrity of stationary and mobile assets. The weather conditions for large vehicles, at The Tank Museum at Bovington United Kingdom, which are operating under controlled and uncontrolled environmental conditions are investigated through weather history and corrosion monitoring techniques applied to large military vehicles by using linear polarisation resistance method. Corrosion reactions were found on several occasions during the operation of large vehicle within uncontrolled environment due to critical level of metrological parameters including salinity, relative humidity and rainfall. Comprehensive solutions have been proposed to detect damage initiation at the earliest possible stage to prompt maintenance professionals to take necessary actions to avoid damage. Early detection techniques will help to prolong the service life of large vehicles or metal structures which are operating or installed remotely. The analysis of diffusion of salt particles into coating during summer and winter season is also presented by estimating the salt concentration by taking linear relationship between wind speed and salt deposition rate based on ISO classification of airborne salinity. The proposed solutions can be applied to valuable assets operating in both non- coastal and coastal regions, near the sea, to predict and estimate the damage.
https://eprints.bournemouth.ac.uk/30552/
Source: BURO EPrints