On developing a framework for detection of oscillations in data

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dc.contributor.author Ullah, Mohd Faheem
dc.contributor.author Das, Laya
dc.contributor.author Parmar, Sweta
dc.contributor.author Rengaswamy, Raghunathan
dc.contributor.author Srinivasan, Babji
dc.date.accessioned 2019-01-17T19:34:35Z
dc.date.available 2019-01-17T19:34:35Z
dc.date.issued 2019-01
dc.identifier.citation Ullah, Mohd Faheem; Das, Laya; Parmar, Sweta; Rengaswamy, Raghunathan and Srinivasan, Babji, “On developing a framework for detection of oscillations in data”, ISA Transactions, DOI: 10.1016/j.isatra.2018.12.026, Jan. 2019. en_US
dc.identifier.uri http://dx.doi.org/ 10.1016/j.isatra.2018.12.026
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4233
dc.description.abstract Oscillation is a phenomenon very commonly observed in systems, ranging from simple ones to complex distributed network. Several techniques have been proposed in the literature for detecting oscillations to study their importance in domains ranging from physiology to climate studies. However, there is a lack of a common framework accommodative of important features of data such as non-stationarity, intermittent oscillations, measurement noise, multimodal oscillations, and the like. In this article, we outline a framework that addresses these challenges, the results of which can then be analyzed along with appropriate knowledge about the underlying system. We present results of an extensive simulation study that establishes the robustness and reliability of the proposed technique and demonstrate its applicability to real datasets in climate and in industrial datasets en_US
dc.description.statementofresponsibility by Mohd Faheem Ullah, Laya Das, Sweta Parmar, Raghunathan Rengaswamy, and Babji Srinivasan
dc.language.iso en_US en_US
dc.publisher ScienceDirect en_US
dc.subject Intermittent oscillations en_US
dc.subject Multi-modal oscillations en_US
dc.subject Interval halving en_US
dc.title On developing a framework for detection of oscillations in data en_US
dc.type Article en_US
dc.relation.journal ISA Transactions

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