Spectral entropy: A complementary index for rolling element bearing performance degradation assessment

By Y. Pan, J. Chen, X. L. Li. 2009

157 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/7c01242a7c8cb9d390c4fd8251db78e1712e13c7

How researchers see this paper

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

In Civil and Structural Engineering

1. Kwok Leung Tsui
2. Dong Wang
3. Qiang Miao

In Control and Systems Engineering

1. Dong Wang
2. Kwok Leung Tsui
3. Qiang Miao

In Safety, Risk, Reliability and Quality

1. Kwok Leung Tsui
2. Dong Wang
3. Qiang Miao
4. Z. Ye
5. Michael G. Pecht

Citations in the corpus

• Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators (2018, background): “[55] proposed spectral entropy to quantify accelerated bearing degradation signals.”
• TSFEL: Time Series Feature Extraction Library (2020, methodology): “The following features are implemented according to the following references: Maximum Power Spectrum [17], Spectral Centroid [18], Decrease [18], Kurtosis [18], Skewness [18], Spread [18], Slope [18], Variation [18], Spectral Roll-off [7], Roll-on [7], Human Range Energy, [19], MFCC [20], LPCC [20],”