One of the most powerful tools to assess the dynamical characteristics of time series is
entropy. Sample entropy (SE), though powerful, is not fast enough, especially for long …

Understanding the complexity of living systems in both health and disease poses a
substantial challenge in biomedical science. Traditional models and statistical analyses …

Nonlinear dynamical index can measure the complexity for a single time scale of the series,
and when combined with coarse-grained methods, multiple time scales can be obtained to …

Rolling bearing fault diagnosis is an important and time sensitive task, to ensure the normal
operation of rotating machinery. This paper proposes a fault diagnosis for rolling bearings …

Most intelligent fault diagnosis methods of rotating machinery generally consider that normal
samples and fault samples as equally important for pattern recognition training. It ignores …

Intelligent fault diagnosis of rotating machinery is essentially a pattern recognition problem.
Meanwhile, effective feature extraction from the raw vibration signal is an important …

Objective: We propose a novel complexity measure to overcome the deficiencies of the
widespread and powerful multiscale entropy (MSE), including, MSE values may be …

Short-term wind power prediction is challenging due to the chaotic characteristics of wind
speed. Since, for wind power industries, designing an accurate and reliable wind power …

Neurodegenerative processes of various types of dementia start years before symptoms, but
the presence of a “neural reserve”, which continuously feeds and supports neuroplastic …

Fuzzy dispersion entropy (FuzzDE) is a very recently proposed non-linear dynamical
indicator, which combines the advantages of both dispersion entropy (DE) and fuzzy entropy …