A procedure for condition-based maintenance and diagnostics of submersible well pumps through vibration monitoring

被引:7
|
作者
Bianchini A. [1 ]
Rossi J. [1 ]
Antipodi L. [2 ]
机构
[1] Department of Industrial Engineering, University of Bologna, Viale del Risorgimento, 2, Bologna
[2] Caprari S.p.A., Via Emilia Ovest, 900, Modena
关键词
Condition-based maintenance; E-maintenance; Fault diagnostics; Maintenance scheduling; Submersible well pump; Vibration monitoring;
D O I
10.1007/s13198-018-0711-3
中图分类号
学科分类号
摘要
Submersible well pumps, widely used for groundwater, are installed at great depths which make typical maintenance actions unworkable and costly. Condition-based maintenance (CBM) through vibration monitoring could be an effective approach for these critical machines. According to ISO 10816-7 (2009) suggestions, a procedure to measure vibration was established and applied on submersible well pumps both in a test facility and in situ. Instruments and measurement location were selected and a methodology for data processing was applied in order to set maintenance alarms. The procedure was tested on several submersible well pumps directly in the testing room of one of the main producers of pumps. Measurements in a testing room made it possible to avoid problems and costs related to instrument installation in the field. In order to demonstrate the technical feasibility of the procedure also in field, the method was also applied in real groundwater plant with a special design of the measurement system, to overcome strict operational work conditions. This paper shows the experimental campaign results, which are the basis to conduct CBM on pumps, in terms of: (1) definition of the typical vibration values of new pumps, not available even by producers, plant managers and standards, and (2) identification of the parameters which influence pump vibration, fundamental to data processing and the setting of proper alarms. The procedure will also be applied for other categories of pumps, used in several industrial applications, to measure reliable vibration data and set specific alarms for maintenance interventions. © 2018, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
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页码:999 / 1013
页数:14
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