Combination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditions

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dc.contributor.authorRuiz Cárcel, Cristóbal
dc.contributor.authorJaramillo, Víctor H.
dc.contributor.authorMba, David
dc.contributor.authorOttewill, James R.
dc.contributor.authorCao, Yi
dc.date.accessioned2020-02-21T12:06:38Z
dc.date.available2020-02-21T12:06:38Z
dc.date.issued2015-06-19
dc.description.abstractThe detection and diagnosis of faults in industrial processes is a very active field of research due to the reduction in maintenance costs achieved by the implementation of process monitoring algorithms such as Principal Component Analysis, Partial Least Squares or more recently Canonical Variate Analysis (CVA). Typically the condition of rotating machinery is monitored separately using vibration analysis or other specific techniques. Conventional vibration-based condition monitoring techniques are based on the tracking of key features observed in the measured signal. Typically steady-state loading conditions are required to ensure consistency between measurements. In this paper, a technique based on merging process and vibration data is proposed with the objective of improving the detection of mechanical faults in industrial systems working under variable operating conditions. The capabilities of CVA for detection and diagnosis of faults were tested using experimental data acquired from a compressor test rig where different process faults were introduced. Results suggest that the combination of process and vibration data can effectively improve the detectability of mechanical faults in systems working under variable operating conditions.en_UK
dc.identifier.citationRuiz-Cárcel C, Jaramillo VH, Mba D, et al., (2016) Combination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditions. Mechanical Systems and Signal Processing, Volumes 66-67, January 2016, pp. 699-714en_UK
dc.identifier.issn0888-3270
dc.identifier.urihttps://doi.org/10.1016/j.ymssp.2015.05.018
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15164
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCondition monitoringen_UK
dc.subjectNon-stationary operationen_UK
dc.subjectCompressor, Vibrationen_UK
dc.subjectCanonical Variate Analysisen_UK
dc.titleCombination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditionsen_UK
dc.typeArticleen_UK

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