Recognizing vsc dc cable fault types using bayesian functional data depth

J Baranowski, K Grobler-Dębska, E Kucharska - Energies, 2021 - mdpi.com
Diagnostics of power and energy systems is obviously an important matter. In this paper we
present a contribution of using new methodology for the purpose of signal type recognition …

[PDF][PDF] Aplikasi simpangan baku menggunakan Microsoft excel

D Rahmawati, EP Ali, M Nurvia… - Matematika: Jurnal Teori …, 2020 - researchgate.net
Microsoft Excel merupakan aplikasi untuk mengolah data secara otomatis yang dapat
berupa perhitungan dasar, rumus, pemakaian fungsi, pengolahan data dan tabel …

Transient anomaly detection using gaussian process depth analysis

J Baranowski, A Dudek… - 2021 25th International …, 2021 - ieeexplore.ieee.org
Effective and reliable monitoring and diagnostics of process control installations is of utmost
importance, as they are important part of world's economy. Detection of faulty behavior fits …

Recognizing commutator motors fault from acoustics signals using bayesian functional data depth

W Bauer, A Dudek, J Baranowski - 2022 26th International …, 2022 - ieeexplore.ieee.org
Monitoring and diagnostics of commutator motors are very important in order to ensure their
reliability. They are often used in domestic and industrial devices. Algorithms for fault …

Multivariate process control charts based on the Lp depth

G Pandolfo, C Iorio, M Staiano, M Aria… - … Stochastic Models in …, 2021 - Wiley Online Library
Even if large historical dataset could be available for monitoring key quality features of a
process via multivariate control charts, previous knowledge may not be enough to reliably …

Outlier Detection Using Minimum Vector Variance Algorithm with Depth Function and Mahalanobis Distance: Bahasa Indonesia

PP Sari, ET Herdiani, N Sunusi - Jurnal Matematika, Statistika …, 2021 - journal.unhas.ac.id
Outliers are observations where the point of observation deviates from the data pattern. The
existence of outliers in the data can cause irregularities in the results of data analysis. One …

Comparison of Data Depth Calculation Method for Fault Detection in Electric Signal

W Bauer, A Dudek, J Baranowski - Proceedings of the XXI Polish Control …, 2023 - Springer
Abstract Functional Data Analysis (FDA) is a modern statistical technique that deals with
data in the form of curves or functions. It has recently gained popularity in the field of fault …

Department of Automatic Control and Robotics, AGH University of Science and Technology, Krakow, Poland {bauer, addudek, jb}@ agh. edu. pl

W Bauer, A Dudek, J Baranowski - … Control: Proceedings of the …, 2023 - books.google.com
Functional Data Analysis (FDA) is a modern statistical technique that deals with data in the
form of curves or functions. It has recently gained popularity in the field of fault detection as it …

[PDF][PDF] Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth. Energies 2021, 14, 5893

J Baranowski, K Grobler-Debska, E Kucharska - 2021 - academia.edu
Diagnostics of power and energy systems is obviously an important matter. In this paper we
present a contribution of using new methodology for the purpose of signal type recognition …