Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition
Vibration signal is often used in traditional gear fault diagnosis techniques. However, the working face of the scraper conveyor is narrow, harsh and easily explosive, so it is inconvenient to obtain vibration signals by installing sensors. Motor current signature analysis (MCSA) is a fault-diagnosi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/15/5053 |
| _version_ | 1797561552476307456 |
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| author | Shuanfeng Zhao Pengfei Wang Shijun Li |
| author_facet | Shuanfeng Zhao Pengfei Wang Shijun Li |
| author_sort | Shuanfeng Zhao |
| collection | DOAJ |
| description | Vibration signal is often used in traditional gear fault diagnosis techniques. However, the working face of the scraper conveyor is narrow, harsh and easily explosive, so it is inconvenient to obtain vibration signals by installing sensors. Motor current signature analysis (MCSA) is a fault-diagnosis method without sensor installation, which is easier to realize in the mine. Therefore, a fault diagnosis method for local gear fault, which is based on bispectral analysis (BA) of analytical signal envelope obtained by processing a stator current under time-varying load condition, is proposed in our paper. In this method, the fault frequency component is enhanced by eliminating the interference of fundamental frequency and coal flow impact. Then, the enhanced fault frequency component is extracted by BA, and a quantitative analysis of the fault strength under time-varying load is carried out from the perspective of energy. Finally, the proposed method is verified on the number HB-kpl-75 scraper conveyor reducer, and the results show that this method can successfully diagnose the failure of the scraper conveyor gear under time-varying load conditions. |
| first_indexed | 2024-03-10T18:16:32Z |
| format | Article |
| id | doaj.art-00adf44f4db04d4dac9ef767d4a2d18a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T18:16:32Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-00adf44f4db04d4dac9ef767d4a2d18a2023-11-20T07:37:45ZengMDPI AGApplied Sciences2076-34172020-07-011015505310.3390/app10155053Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load ConditionShuanfeng Zhao0Pengfei Wang1Shijun Li2School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaVibration signal is often used in traditional gear fault diagnosis techniques. However, the working face of the scraper conveyor is narrow, harsh and easily explosive, so it is inconvenient to obtain vibration signals by installing sensors. Motor current signature analysis (MCSA) is a fault-diagnosis method without sensor installation, which is easier to realize in the mine. Therefore, a fault diagnosis method for local gear fault, which is based on bispectral analysis (BA) of analytical signal envelope obtained by processing a stator current under time-varying load condition, is proposed in our paper. In this method, the fault frequency component is enhanced by eliminating the interference of fundamental frequency and coal flow impact. Then, the enhanced fault frequency component is extracted by BA, and a quantitative analysis of the fault strength under time-varying load is carried out from the perspective of energy. Finally, the proposed method is verified on the number HB-kpl-75 scraper conveyor reducer, and the results show that this method can successfully diagnose the failure of the scraper conveyor gear under time-varying load conditions.https://www.mdpi.com/2076-3417/10/15/5053scraper conveyorgear fault diagnosismotor current signature analysisbispectral analysis |
| spellingShingle | Shuanfeng Zhao Pengfei Wang Shijun Li Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition Applied Sciences scraper conveyor gear fault diagnosis motor current signature analysis bispectral analysis |
| title | Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition |
| title_full | Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition |
| title_fullStr | Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition |
| title_full_unstemmed | Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition |
| title_short | Study on the Fault Diagnosis Method of Scraper Conveyor Gear under Time-Varying Load Condition |
| title_sort | study on the fault diagnosis method of scraper conveyor gear under time varying load condition |
| topic | scraper conveyor gear fault diagnosis motor current signature analysis bispectral analysis |
| url | https://www.mdpi.com/2076-3417/10/15/5053 |
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