On-line Diagnosis Technology for the Shock Absorbers on Subway Vehicle Based on RLS
To ensure the safety of train operation and avoid excessive maintenance of shock absorbers, based on the vibration data, a process parameter evaluation model of the recursive least squares (RLS) and a input-output model were presented according to the research of the metro vehicle on-line monitoring...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2018-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.03.200 |
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| Summary: | To ensure the safety of train operation and avoid excessive maintenance of shock absorbers, based on the vibration data, a process parameter evaluation model of the recursive least squares (RLS) and a input-output model were presented according to the research of the metro vehicle on-line monitoring technology. By means of computer simulation, a multi-body dynamics model of metro vehicle was constructed, and input parameters and output parameters of the model were extracted to identify the parameters of the shock absorber. By means of FMECA analysis method, the failure mode of subway suspension components and the block diagram of reliability between parts were studied, and the correlation between failure modes of suspension components was analyzed. Diagnostic results show that the RLS algorithm has better tracking convergence effect in the shock absorber online parameter identification. |
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| ISSN: | 2096-5427 |