Machining chatter is a self-excited vibration between the tool and the workpiece that affects
surface quality and productivity. In this article, we propose a novel approach for early …

Noise suppression is essential in time-domain electromagnetic (TDEM) data processing and
interpretation. TDEM data are typically in broadband signal, which makes it difficult to …

Spatiotemporal signals are currently gaining wide popularity owing to their richness in terms
of information content from both spatial and temporal aspects. Climatic studies involve the …

Denoising is a significant preprocessing process, garnering substantial attention across
various signal-processing domains. Many traditional denoising methods assume signal …

Spatiotemporal (ST) climatic signals are used exclusively in the analysis and prediction of
weather and climate. These signals are prone to noise due to sensor defects, environmental …

Detrended fluctuation analysis (DFA) has become an important tool for the long-range
correlation and local regularity fluctuation analysis of nonstationary time series data. While …

A novel signal denoising method is proposed based on variational mode decomposition
(VMD) and Anderson-Darling statistics. The VMD method expands a signal into its frequency …

Noise suppression is an important topic in transient electromagnetic (TEM) data processing
and interpretation. TEM data is a typical broadband signal, which makes it difficult to …

This research presents a new roller bearing fault diagnosis method based on least square
support vector machine (LSSVM) with parameters optimized by the Differential Evolution …