Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction
This paper proposed and implemented the Teager-Kaiser energy operator (TKEO) and envelope spectral analysis techniques for the fault detection of discharge valves of a reciprocating compressor. Based on the extraction of fault features, the instantaneous frequency and amplitude of the signals due to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-03-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132241237638 |
| _version_ | 1797248060464562176 |
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| author | Chin-Che Hou Min-Chun Pan |
| author_facet | Chin-Che Hou Min-Chun Pan |
| author_sort | Chin-Che Hou |
| collection | DOAJ |
| description | This paper proposed and implemented the Teager-Kaiser energy operator (TKEO) and envelope spectral analysis techniques for the fault detection of discharge valves of a reciprocating compressor. Based on the extraction of fault features, the instantaneous frequency and amplitude of the signals due to the discharged valve based on energy identification can be effectively characterized by the TKEO that was used to identify the characteristic fault signals accurately. The synthesized signal is processed by envelope spectral analysis and TKEO, which can extract the characteristic signal and eliminate the noise. The experimental design is verified experimentally through different reciprocating compressor gas valve conditions. The simulation results verify the feasibility of the proposed method. The experimental verification is carried out through the measurement signals of the six-cylinder reciprocating compressor under different valve operating conditions. TKEO can remove background noise to obtain reciprocating compressor fault feature signals. Feature extraction is based on TKEO and envelope spectra for fault detection of reciprocating compressors. It is expected to reduce the errors produced by traditional manual fault diagnosis methods and improve the accuracy and efficiency of fault diagnosis. The research results of vibration fault feature extraction using TKEO can be used as the basis for fault diagnosis of the reciprocating compressor system. |
| first_indexed | 2024-04-24T20:08:35Z |
| format | Article |
| id | doaj.art-26eee06c4f22403db77542c106816010 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-24T20:08:35Z |
| publishDate | 2024-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-26eee06c4f22403db77542c1068160102024-03-23T18:03:43ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402024-03-011610.1177/16878132241237638Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extractionChin-Che Hou0Min-Chun Pan1System Development Center, National Chung-Shan Institute of Science & Technology, Taoyuan, Taiwan (ROC)Department of Mechanical Engineering, National Central University, Taoyuan, Taiwan (ROC)This paper proposed and implemented the Teager-Kaiser energy operator (TKEO) and envelope spectral analysis techniques for the fault detection of discharge valves of a reciprocating compressor. Based on the extraction of fault features, the instantaneous frequency and amplitude of the signals due to the discharged valve based on energy identification can be effectively characterized by the TKEO that was used to identify the characteristic fault signals accurately. The synthesized signal is processed by envelope spectral analysis and TKEO, which can extract the characteristic signal and eliminate the noise. The experimental design is verified experimentally through different reciprocating compressor gas valve conditions. The simulation results verify the feasibility of the proposed method. The experimental verification is carried out through the measurement signals of the six-cylinder reciprocating compressor under different valve operating conditions. TKEO can remove background noise to obtain reciprocating compressor fault feature signals. Feature extraction is based on TKEO and envelope spectra for fault detection of reciprocating compressors. It is expected to reduce the errors produced by traditional manual fault diagnosis methods and improve the accuracy and efficiency of fault diagnosis. The research results of vibration fault feature extraction using TKEO can be used as the basis for fault diagnosis of the reciprocating compressor system.https://doi.org/10.1177/16878132241237638 |
| spellingShingle | Chin-Che Hou Min-Chun Pan Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction Advances in Mechanical Engineering |
| title | Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction |
| title_full | Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction |
| title_fullStr | Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction |
| title_full_unstemmed | Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction |
| title_short | Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction |
| title_sort | fault diagnosis of reciprocating compressor using teager kaiser energy operator and envelope spectral feature extraction |
| url | https://doi.org/10.1177/16878132241237638 |
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