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A model based monitoring method is developed with systematically collected experimental data and fundamental process knowledge to verify the quality of assemblies.
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A nonlinear kernel Gaussian mixture model (NKGMM) based inferential monitoring method is proposed in this article for chemical process fault detection and diagnosis.
The MPM based monitoring methods in this study were developed with an "off the shelf" commercial system and simple data analysis techniques with the intent of providing a method that could be widely adopted by laboratories with a diversity of comparable equipment.
Based on an opinion model from ITU-T[140], an automatic QoE monitoring method is proposed in[161].
Based on the analysis, the subsidence monitoring method was given.
The monitoring method was developed based on field axle box acceleration measurements.
The majority of structural health monitoring methods are based on detecting changes in the modal properties, which are global characteristics of the structure, and are not sensitive to local damage.
Then the online identification and monitoring methods are carried out based on the sub-models established in those segments.
A non-contact laser based measurement method is used to monitor positional changes of a rotating shaft in real time while in operation.
Parameter sensitive fluorophors are used with fibre optic probes for continuous monitoring of dissolved oxygen tension and an optical based method is employed to monitor cell biomass concentration during fermentation.
In this paper a novel optical fiber based method is presented to monitor working liquid level of oil well which contains foam section.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com