Mixed dissimilarity measure for piecewise linear approximation based time series applications

Bankó, Zoltán; Abonyi, János

doi:10.1016/j.eswa.2015.06.003

Cited by 5 publications

(2 citation statements)

References 59 publications

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“…The raw data could be used, for example, for testing other data synchronization methods, such as Dynamic Time Warping (DTW) [44], Correlation Optimized Warping (COW) [29], and their various variations and combinations [7,34]. Because the growth of biomass and production of penicillin are the major driving forces governing the behavior of the Pensim process, reducing batch-to-batch differences between these (unmeasured) variables could result in better process monitoring.…”

Section: Dataset Descriptionmentioning

confidence: 99%

An extensive reference dataset for fault detection and identification in batch processes

Impe¹,

Gins²

2015

Chemometrics and Intelligent Laboratory Systems

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Close process monitoring (i.e., detection and identification of disturbances) is important to achieve high process efficiency and safety. The Tennessee Eastman process is an extensive benchmark dataset for fault detection and identification, but it is only representative for continuous processes because it does not contain the inherent nonstationarity that complicates monitoring of batch processes. Nevertheless, batch processes also play an important role in many types of industry. This paper therefore presents an extensive reference dataset for benchmarking data-driven methodologies for fault detection and identification in batch processes. The original Pensim model [10] is expanded with sensor noise. By changing the properties of the initial conditions and/or model parameters, four subsets of different complexity are generated, each containing 400 batches with normal operation. To correctly assess the fault detection and identification in batch processes, 15 faults are simulated with various amplitudes and onset times for a total of 22,200 faulty batches for each subset, or 90,400 batches in total. Analysis of the data indicates that the presented types of process faults and their various amplitudes in each of the four subsets present a suitable benchmark for fault detection and identification in batch processes. The dataset is freely available at http://cit.kuleuven.be/biotec/batchbenchmark.

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Section: Dataset Descriptionmentioning

confidence: 99%

An extensive reference dataset for fault detection and identification in batch processes

Impe¹,

Gins²

2015

Chemometrics and Intelligent Laboratory Systems

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“…period length). Selecting one or more appropriate measures is not trivial (G lynn et al 2006; R efinetti et al 2007; D ing et al 2008; B atista et al 2011; J in 2011; S un et al 2014; Y in et al 2014; B anko and A bonyi 2015; K otsifakos et al 2016; M ori et al 2016). This is particularly true when comparing time series with differently calibrated, non-linear scales that may be associated with substantial measurement errors, as is often the case for experimental observations.…”

Section: Modelsmentioning

confidence: 99%

FlyClockbase: Importance of Biological Model Curation for Analyzing Variability in the Circadian Clock of Drosophila melanogaster by Integrating Time Series from 25 Years of Research

Scheuer

Hanlon

Dresel

et al. 2017

Preprint

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General Article SummarySubstantial biological model curation was essential for identifying differences in peak 23 time variance of the clock-proteins 'PERIOD' and 'TIMELESS', which probably stem 24 from differences in phosphorylation-network complexity. 25 We repeatedly encountered systemic limitations of contemporary data analysis 26 strategies in our work on circadian clocks. Thus, we used it as an opportunity for 27 composing a panoramic view of the broader challenges in biological model curation, 28 which are likely to increase as biologists aim to integrate all existing expertise in order to 29 address diverse grand challenges. We developed and tested a trans-disciplinary 30 research workflow, which enables biologists and compiler-architects to define biology-31 friendly compilers for efficiently constructing and maintaining Versioned Biological 32 Information Resources (VBIRs). We report insights gleaned from our practical clock 33 research that are essential for defining a VBIRs infrastructure, which improves the 34 efficiency of biological model curation to the point where it can be democratized. . CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/099192 doi: bioRxiv preprint first posted online Jan. 9, 2017;. CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/099192 doi: bioRxiv preprint first posted online Jan. 9, 2017;. CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/099192 doi: bioRxiv preprint first posted online Jan. 9, 2017;. CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/099192 doi: bioRxiv preprint first posted online Jan. 9, 2017;. CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/099192 doi: bioRxiv preprint first posted online Jan. 9, 2017;. CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/099192 doi: bioRxiv preprint first posted online Jan. 9, 2017;. CC-BY 4.0 International license It ...

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Ranking and significance of variable-length similarity-based time series motifs

Serrà

Serra

Corral

et al. 2016

Expert Systems with Applications

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The detection of very similar patterns in a time series, commonly called motifs, has received continuous and increasing attention from diverse scientific communities. In particular, recent approaches for discovering similar motifs of different lengths have been proposed. In this work, we show that such variable-length similarity-based motifs cannot be directly compared, and hence ranked, by their normalized dissimilarities. Specifically, we find that length-normalized motif dissimilarities still have intrinsic dependencies on the motif length, and that lowest dissimilarities are particularly affected by this dependency. Moreover, we find that such dependencies are generally non-linear and change with the considered data set and dissimilarity measure. Based on these findings, we propose a solution to rank those motifs and measure their significance. This solution relies on a compact but accurate model of the dissimilarity space, using a beta distribution with three parameters that depend on the motif length in a non-linear way. We believe the incomparability of variable-length dissimilarities could go beyond the field of time series, and that similar modeling strategies as the one used here could be of help in a more broad context.

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Mixed dissimilarity measure for piecewise linear approximation based time series applications

Cited by 5 publications

References 59 publications

An extensive reference dataset for fault detection and identification in batch processes

An extensive reference dataset for fault detection and identification in batch processes

FlyClockbase: Importance of Biological Model Curation for Analyzing Variability in the Circadian Clock of Drosophila melanogaster by Integrating Time Series from 25 Years of Research

Ranking and significance of variable-length similarity-based time series motifs

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