Using ICA for analysis of seismic events

Conference paper


Thiyagu, Ramaswany and Chanerley, A. 2009. Using ICA for analysis of seismic events. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 4th Annual Conference University of East London pp. 160-166
AuthorsThiyagu, Ramaswany and Chanerley, A.
TypeConference paper
Abstract

Independent Component Analysis (ICA) is a statistical and computational technique for
revealing hidden factors that underlie set of random variables, measurements, or signals. ICA is a
general purpose technique which is used to linearly transform the observed random data into
components. The ICA can be estimated by using the concept of maximum nonGaussianity,
maximum
likelihood estimation, or minimisation of mutual information. This paper applies ICA to seismic
acceleration time histories in order to locate any hidden components of ground rotational motion or
tilts. Normally the three components of seismically induced rotations are not recorded in most of the
available seismic instruments, primarily because previous devices did not provide the required
sensitivity to observe rotations in a wide frequency band and distance range (the two horizontal
components, equal to tilt at the free surface, are generally recorded at low frequencies) Igel et al 2003.
From the x, y and z components usually recorded the Extended Generalised Lambda Distributions
(EGLD) – ICA model was used to examine whether rotational or tilt trends were embedded within the
3 components. The algorithm tries to fit a matrix from the data which will separate any other trends
within the available components. The results show that the EGLDICA
separates trends within the 3
components; however these are not yet identified as tilts or rotations.

KeywordsIndependent Component Analysis; earthquake engineering; tremor; Seismograph data
Year2009
ConferenceProceedings of Advances in Computing and Technology
Publisher's version
License
CC BY-ND
Publication dates
Print2009
Publication process dates
Deposited30 Jul 2010
Web address (URL)http://www.uel.ac.uk/act/proceedings/documents/FinalProceedings.pdf
http://hdl.handle.net/10552/919
Additional information

Citation:
Thiyagu, R. and Chanerley, A. (2009) ‘Using ICA for analysis of seismic events’ Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 4th Annual Conference, University of East London, pp.160-166.

Place of publicationUniversity of East London
Page range160-166
Permalink -

https://repository.uel.ac.uk/item/86490

  • 4
    total views
  • 4
    total downloads
  • 1
    views this month
  • 1
    downloads this month

Related outputs

Problems associated with instrument tilts during seismic events
Thiyagu, Ramaswany and Chanerley, A. 2010. Problems associated with instrument tilts during seismic events. Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 5th Annual Conference, University of East London, pp. 119-126
A brief review of instrument de-convolution of seismic data
Chanerley, A. and Alexander, Nick 2006. A brief review of instrument de-convolution of seismic data. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 1st Annual Conference University of East London pp. 95-101