Decay Ratio estimation in boiling water reactors based on the empirical mode decomposition and the Hilbert–Huang transform

Prieto‐Guerrero, Alfonso; Espinosa-Paredes, Gilberto

doi:10.1016/j.pnucene.2013.11.015

Cited by 17 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Which has been extensively studied using various analysis techniques (e.g., Suzudo, 2003;Nunez-Carrera and Espinosa-Paredes, 2006;Prieto-Guerrero and Espinosa-Paredes, 2014a). This ''artificial'' instability will be useful to challenge the theory and conclusions reached in the two previous cases.…”

Section: Fosmark Stability Benchmarkmentioning

confidence: 99%

Nuclear power plant instabilities analysis

Moreno¹,

Prieto‐Guerrero

Espinosa-Paredes

2015

Annals of Nuclear Energy

Self Cite

View full text Add to dashboard Cite

Section: Fosmark Stability Benchmarkmentioning

confidence: 99%

Nuclear power plant instabilities analysis

Moreno¹,

Prieto‐Guerrero

Espinosa-Paredes

2015

Annals of Nuclear Energy

Self Cite

View full text Add to dashboard Cite

“…Later on, the research was focused on the use of the Hilbert Huang transform (HHT) and the Empirical Mode Decomposition (EMD). 4,9 This methodology is adaptive and it decomposes the signal into different modes called Intrinsic Mode functions centered at a certain frequency band. With HHT it was possible to identify the harmonics whose amplitude increases during the instability.…”

Section: Introductionmentioning

confidence: 99%

“…The disadvantage of this methodology lies on the proper selection of the mother wavelet which determines strongly the results of the analysis. Later on, the research was focused on the use of the Hilbert Huang transform (HHT) and the Empirical Mode Decomposition (EMD) 4,9 . This methodology is adaptive and it decomposes the signal into different modes called Intrinsic Mode functions centered at a certain frequency band.…”

Section: Introductionmentioning

confidence: 99%

Resolving mode mixing in boiling water reactors instability analysis using variational mode decomposition

Montalvo

Gavilan

Garcı́a-Berrocal

et al. 2020

Intl J of Energy Research

View full text Add to dashboard Cite

In dynamic, complex and nonlinear systems, the analysis of transients, instabilities or unusual events is fundamental, as well as the knowledge of the system's behavior in the frequency space. What is usual in this type of study is to have discrete and digitally acquired data, due to a sampling process with a determined period or frequency. Extracting information from this data set is done by numerical methods, such as the Fourier Transform (FFT), the Hilbert-Huang Transform (HHT) or techniques from chaos mathematics (Attractors). In this way we have scarce data, with some loss of information, analyzed with numerical techniques that introduce, also, some dilution of the information. In particular, the techniques of analysis in the frequency space, by their very nature, blur, frequencies and bandwidths. This leads in some cases to the identification of unsuitable or very wide frequencies or intervals, which make the extracted information unusable. To this effect, we have studied the VMD technique that provides more real and representative frequencies of the system as well as narrower bandwidths that make possible better identification of phenomena and influences. This technique has been applied to the analysis of thermohydraulic instabilities in nuclear boiling water reactors (BWR). The cases had already been analyzed with STFT and HHT techniques. The results of the application of the VMD shows that the mode mixing is solved, so modes obtained are monofrequency and these frequency bands are narrower than in previous methodologies. This improved performance allows using backbone plots for identifying which modes are excited in instabilities events.

show abstract

“…The validation of the methodology presented in this paper is performed doing experiments with real signals taken from the Forsmark and Ringhals stability benchmarks and from a Laguna Verde instability event and presented in Section 6. Also in this same section, the SE results are compared with current DR estimations, computed via techniques based on default EMD [24][25].…”

Section: Introductionmentioning

confidence: 99%