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Concept validation of a soft sensor network for wear detection in positive displacement pumps

Hartig, Jakob ; Schänzle, Christian ; Pelz, Peter F. (2022)
Concept validation of a soft sensor network for wear detection in positive displacement pumps.
4th International Rotating Equipment Conference - Pumps and Compressors. Wiesbaden (24.-25.09.2019)
doi: 10.26083/tuprints-00020900
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (Abstract)

With increasing digitization, models are not only used during the design phase but throughout the life cycle of systems. Especially the use of models as soft sensors during operation offers opportunities in cost saving, easy data acquisition and therefore additional functionality of systems. Soft sensors are models of components that use easily accessible auxiliary quantities to estimate target quantities that are difficult to measure. Networks of soft sensors are the prerequisite for redundant data acquisition in a system and thus encourage the occurrence of data-induced conflicts, i.e., inconsistent values from different soft sensors, which may result from: (i) the breakdown or defect of a measuring sensor, (ii) model uncertainties of the soft sensors, (iii) change of component characteristics, e.g. due to wear. The resolution of these conflicts either leads to greater confidence in the model-based system quantities or allows the detection of changing components characteristics. Hence soft sensor networks can be used to detect wear in system components.

Wear in pumps and valves leads to a change in the flow rate and the inner leakage. Therefore, the detection of wear with soft sensors requires the detection of small changes in the system flow rates. In the full paper an analysis of the influence of small flow rate variations on redundant soft sensor outputs is carried out. For this, small flow rate variations are implemented on a test bench for positive displacement pumps. Furthermore, a systematic analysis of parameter and data uncertainties and their propagation in models for positive displacement pumps is carried out. The resulting flow rates and the measurement uncertainties from the models of the pump and the throttle valve of the test bench are compared and discussed with respect to data induced conflicts and the detection of wear.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Hartig, Jakob ; Schänzle, Christian ; Pelz, Peter F.
Art des Eintrags: Zweitveröffentlichung
Titel: Concept validation of a soft sensor network for wear detection in positive displacement pumps
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Verlag: VDMA
Kollation: 10 Seiten
Veranstaltungstitel: 4th International Rotating Equipment Conference - Pumps and Compressors
Veranstaltungsort: Wiesbaden
Veranstaltungsdatum: 24.-25.09.2019
DOI: 10.26083/tuprints-00020900
URL / URN: https://tuprints.ulb.tu-darmstadt.de/20900
Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

With increasing digitization, models are not only used during the design phase but throughout the life cycle of systems. Especially the use of models as soft sensors during operation offers opportunities in cost saving, easy data acquisition and therefore additional functionality of systems. Soft sensors are models of components that use easily accessible auxiliary quantities to estimate target quantities that are difficult to measure. Networks of soft sensors are the prerequisite for redundant data acquisition in a system and thus encourage the occurrence of data-induced conflicts, i.e., inconsistent values from different soft sensors, which may result from: (i) the breakdown or defect of a measuring sensor, (ii) model uncertainties of the soft sensors, (iii) change of component characteristics, e.g. due to wear. The resolution of these conflicts either leads to greater confidence in the model-based system quantities or allows the detection of changing components characteristics. Hence soft sensor networks can be used to detect wear in system components.

Wear in pumps and valves leads to a change in the flow rate and the inner leakage. Therefore, the detection of wear with soft sensors requires the detection of small changes in the system flow rates. In the full paper an analysis of the influence of small flow rate variations on redundant soft sensor outputs is carried out. For this, small flow rate variations are implemented on a test bench for positive displacement pumps. Furthermore, a systematic analysis of parameter and data uncertainties and their propagation in models for positive displacement pumps is carried out. The resulting flow rates and the measurement uncertainties from the models of the pump and the throttle valve of the test bench are compared and discussed with respect to data induced conflicts and the detection of wear.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-209001
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006)
Hinterlegungsdatum: 29 Apr 2022 12:44
Letzte Änderung: 02 Mai 2022 05:27
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