Fault Diagnosis of Gearboxes Using Nonlinearity and Determinism by Generalized Hurst Exponents of Shuffle and Surrogate Data
Vibrations of defective gearboxes show great complexities. Therefore, dynamics and noise levels of vibrations of gearboxes vary with operation of gearboxes. As a result, nonlinearity and determinism of data can serve to describe running conditions of gearboxes. However, measuring of nonlinearity and determinism of data is challenging. This paper defines a two-dimensional measure for simultaneously quantifying nonlinearity and determinism of data by comparing generalized Hurst exponents of original, shuffle and surrogate data. Afterwards, this paper proposes a novel method for fault diagnosis of gearboxes using the two-dimensional measure. Robustness of the proposed method was validated numerically by analyzing simulative signals with different noise levels. Moreover, the performance of the proposed method was benchmarked against Approximate Entropy, Sample Entropy, Permutation Entropy and Delay Vector Variance by conducting two independent gearbox experiments. The results show that the proposed method achieves superiority over the others in fault diagnosis of gearboxes.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2018 |
|---|---|
| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
|---|---|
| Enthalten in: |
Entropy (Basel, Switzerland) - 20(2018), 5 vom: 14. Mai |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Dou, Chunhong [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Determinism |
|---|
| Anmerkungen: |
Date Revised 07.12.2020 published: Electronic Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.3390/e20050364 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM318316366 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM318316366 | ||
| 003 | DE-627 | ||
| 005 | 20231225165113.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3390/e20050364 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1061.xml |
| 035 | |a (DE-627)NLM318316366 | ||
| 035 | |a (NLM)33265454 | ||
| 035 | |a (PII)E364 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Dou, Chunhong |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Fault Diagnosis of Gearboxes Using Nonlinearity and Determinism by Generalized Hurst Exponents of Shuffle and Surrogate Data |
| 264 | 1 | |c 2018 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 07.12.2020 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Vibrations of defective gearboxes show great complexities. Therefore, dynamics and noise levels of vibrations of gearboxes vary with operation of gearboxes. As a result, nonlinearity and determinism of data can serve to describe running conditions of gearboxes. However, measuring of nonlinearity and determinism of data is challenging. This paper defines a two-dimensional measure for simultaneously quantifying nonlinearity and determinism of data by comparing generalized Hurst exponents of original, shuffle and surrogate data. Afterwards, this paper proposes a novel method for fault diagnosis of gearboxes using the two-dimensional measure. Robustness of the proposed method was validated numerically by analyzing simulative signals with different noise levels. Moreover, the performance of the proposed method was benchmarked against Approximate Entropy, Sample Entropy, Permutation Entropy and Delay Vector Variance by conducting two independent gearbox experiments. The results show that the proposed method achieves superiority over the others in fault diagnosis of gearboxes | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a determinism | |
| 650 | 4 | |a fault diagnosis | |
| 650 | 4 | |a gearbox | |
| 650 | 4 | |a generalized Hurst exponent | |
| 650 | 4 | |a nonlinearity | |
| 700 | 1 | |a Wei, Xueye |e verfasserin |4 aut | |
| 700 | 1 | |a Lin, Jinshan |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Entropy (Basel, Switzerland) |d 2008 |g 20(2018), 5 vom: 14. Mai |w (DE-627)NLM191572098 |x 1099-4300 |7 nnns |
| 773 | 1 | 8 | |g volume:20 |g year:2018 |g number:5 |g day:14 |g month:05 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3390/e20050364 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 20 |j 2018 |e 5 |b 14 |c 05 | ||