Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5054
AuthorsBruno, A.* 
Daniele, C.* 
TitleA LabVIEW environment to compensate temperature-driven fluctuations in the signal from continuously running spring gravimeters
Issue Date2009
Series/Report no.10/35 (2009)
DOI10.1016/j.cageo.2008.12.007
URIhttp://hdl.handle.net/2122/5054
KeywordsGravimeter
Temperature reduction
Compensation algorithm
On-the-fly processing
Subject Classification04. Solid Earth::04.03. Geodesy::04.03.05. Gravity variations 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networks 
AbstractEnvironmental parameters can seriously affect the performances of continuously running spring gravimeters. Temperature is a primary interfering quantity and its effect must be reduced through algorithms implementing a suitable compensation scheme. Algorithms to reduce the signals coming from continuously running gravimeters for the effect of meteorological perturbations have been developed and implemented in tools running in offline-mode. Anyway, the need for ‘‘on–the-fly’’ processing emerges when the recorded signals are used for volcano monitoring purposes, since any information on the volcanic phenomena under development must be assessed immediately. In this paper the implementation, in a dedicated LabVIEW application, of an algorithm performing temperature reduction on gravity signals is discussed and features of the software’s user interface are presented.
Appears in Collections:Papers Published / Papers in press

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