Fast computation of the kurtogram for the detection of transient faults

By Jérôme Antoni. 2007

1,528 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/97621a164aa23f8bc3c13a7a83462e8ab047933c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Michael G. Pecht
2. Jing Tian
3. Michael H. Azarian
4. Carlos Morillo
5. Jianshe Kang
6. Lei Xiao
7. Hongzhi Teng
8. Jianmin Zhao

In Control and Systems Engineering

1. Ge Xin
2. N. Hamzaoui
3. Michael G. Pecht
4. Jing Tian
5. Michael H. Azarian
6. Carlos Morillo
7. Jianshe Kang
8. Lei Xiao

Citations in the corpus

• The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis (2018, neutral): “Antoni proposed two methods to calculate the SK, one based on short-time Fourier transform (STFT) [4] and another one based on filter banks [5].”
• Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis (2016, methodology): “Antoni [39] compared different signal decomposition methods, and chose FIR filter bank in the signal decomposition for SK.”
• The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing (2011, neutral): “by Antoni [15, 16].”