التفاصيل البيبلوغرافية
| العنوان: |
Fault Feature Extraction of Reciprocating Compressor Based on Adaptive Waveform Decomposition and Lempel-Ziv Complexity |
| المؤلفون: |
Youfu Tang, Feng Lin |
| المصدر: |
IEEE Access, Vol 7, Pp 82522-82531 (2019) |
| بيانات النشر: |
IEEE, 2019. |
| سنة النشر: |
2019 |
| المجموعة: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| مصطلحات موضوعية: |
Adaptive waveform decomposition, Lempel-Ziv complexity, reciprocating compressor, feature extraction, fault diagnosis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| الوصف: |
The multi-source impact signal of reciprocating compressor often represents nonlinear and non-stationary. For this reason, the fault features of the signal are difficult to quantitatively describe using conventional signal processing methods. In this paper, a novel adaptive waveform decomposition method was proposed to convert the strong non-stationary multi-component signal into stationary single-component signal. Subsequently, the signal was denoised with threshold-based mutual information to protect from being interfered by the noise. Finally, to measure the nonlinearity of reciprocating compressor signals in four states (normal valve sheets, gap valve sheets, fractured valve sheets, and bad spring), the normalized Lempel-Ziv complexity indexes were employed. The results reveal that the proposed method is capable of extracting the different faults states of reciprocating compressor accurately, which supplies a measure of fault diagnosis and maintenance strategy for the reciprocating compressor. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/8741014/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2019.2923657 |
| URL الوصول: |
https://doaj.org/article/799bf60ed3a8452aa3de125c1975ba19 |
| رقم الانضمام: |
edsdoj.799bf60ed3a8452aa3de125c1975ba19 |
| قاعدة البيانات: |
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