Wear detection for progressing cavity pumps with system identification methods
| Autor: | Sebastian Leonow, Martin Mönnigmann, Y. Kouhi, Jens Müller |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Rotor (electric) Computer science 020208 electrical & electronic engineering System identification Mechanical engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Model parameters 02 engineering and technology Progressive cavity pump Displacement (vector) law.invention Laboratory test 020901 industrial engineering & automation Control and Systems Engineering law 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | IFAC-PapersOnLine. 53:13650-13655 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2020.12.865 |
| Popis: | We present a model-based approach for a non-invasive online wear detection for progressing cavity pumps. The approach is based on a model of the rotor displacement. All unknown model parameters can be determined from measured data with a recursive-least-squares algorithm, which can efficiently be run on an embedded device. The identified model parameters provide information about the internal wear. Without the model-based approach, wear can only be analysed after disassembling the pump. We evaluate the proposed approach in a laboratory test setup with an undersize rotor, which simulates a worn pump. The results show the proposed approach can reliably monitor wear. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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