Searched for: subject%3A%22VMD%22
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document
Vertregt, Tom (author)
Although energy commodity price forecasting has been around for quite some time, up until recently, especially in Europe, it mostly concerned other energy commodities than gas. That is why in this work, a forecasting model is presented for the single day forecast of the daily VWAP price of the TTF month-ahead gas contract from 2020/01/02 until...
master thesis 2023
document
Li, Y. (author)
There is an ever-growing demand for vital signs monitoring for a variety of occasions. Non-contact vital signs monitoring can be achieved by detecting the displacement of the human chest using Doppler radar. This method is non-invasive, environment-independent and suitable for long-term monitoring. However, the real-time detection of...
master thesis 2020
document
Liu, C. (author), Cheng, Gang (author), Chen, Xihui (author), Pang, Y. (author)
Given local weak feature information, a novel feature extraction and fault diagnosis method for planetary gears based on variational mode decomposition (VMD), singular value decomposition (SVD), and convolutional neural network (CNN) is proposed. VMD was used to decompose the original vibration signal to mode components. The mode matrix was...
journal article 2018
document
Li, Y. (author), Cheng, G. (author), Pang, Y. (author), Kuai, Moshen (author)
Poor working environment leads to frequent failures of planetary gear trains. However, complex structure and variable transmission make the vibration signal strongly non-linear and non-stationary, which brings big problems to fault diagnosis. A method of planetary gear fault diagnosis via feature image extraction based on multi central...
journal article 2018
Searched for: subject%3A%22VMD%22
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