2017
DOI: 10.1007/s00170-017-0183-7
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EEMD-based online milling chatter detection by fractal dimension and power spectral entropy

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Cited by 82 publications
(27 citation statements)
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“…Step 2: The power spectral entropy (PSE) [26,27] is constructed based on the original vibration data.…”
Section: Process Of Rul Prediction Methodsmentioning
confidence: 99%
“…Step 2: The power spectral entropy (PSE) [26,27] is constructed based on the original vibration data.…”
Section: Process Of Rul Prediction Methodsmentioning
confidence: 99%
“…Information entropy can be defined as follows [ 30 , 31 , 32 ]: for a one-dimensional discrete signal s = ( x 1 , x 2 , …, x n ), its corresponding probability can be defined as: P = { p 1 , p 2 , …, p n } 0 ≤ p i ≤ 1, i = 1, 2, …, n where p i is under constraints of .…”
Section: Principle Of Psementioning
confidence: 99%
“…Thus, power spectral entropy (PSE) is proposed to indicate the spectral distribution and quantitatively measure energy distribution of a signal in the frequency domain, which explains the spectrum composition of vibration signal. The more uniformity the vibration energy distributes in the whole frequency composition, the less complex the signal is [ 30 , 31 , 32 ].…”
Section: Introductionmentioning
confidence: 99%
“…To evaluate the treatment performance, PSE and RMSE are adopted, which correlate well with the instantaneous disposal performance. Also, PSE is related to information entropy, which is able to quantify the spectral complexity of the unprocessed signal [ 33 ]. Here a brief introduction of PSE is given: Power spectral entropy (PSE) …”
Section: Adaptive Multi-scale Cgmf Combined With the Vmdmentioning
confidence: 99%