Clogged Impeller Diagnosis in the Centrifugal Pump Using the Vibration and Motor Current Analysis

Autor: Mehran Jahangiri, Seyed Alireza Seyed Roknizadeh

Publikováno v: Journal of Applied and Computational Mechanics, Vol 4, Iss 4, Pp 310-317 (2018)

The impeller-clogging phenomenon in centrifugal pumps is such a kind of the fault that leads to increase the vibration and reduce the performance of pumps. In addition, impeller-clogging could make some problems in the production process of factories

Externí odkaz: https://doaj.org/article/bcf050c07fcd43c397d783916638b97b

Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach

Autor: Abdallah Allouche, Erik Etien, Laurent Rambault, Thierry Doget, Sebastien Cauet, Anas Sakout

Publikováno v: Sensors, Vol 20, Iss 17, p 5011 (2020)

This article presents a mechanical fault diagnosis methodology in synchronous machines using only a single current measurement in variable speed conditions. The proposed methodology uses order tracking in order to sample the analysis signal as a func

Externí odkaz: https://doaj.org/article/acc82ece7f7f4734b97eaeaacb6139cd

A Wireless Sensor System for Real-Time Monitoring and Fault Detection of Motor Arrays

Autor: Jonathan Medina-García, Trinidad Sánchez-Rodríguez, Juan Antonio Gómez Galán, Aránzazu Delgado, Fernando Gómez-Bravo, Raúl Jiménez

Publikováno v: Sensors, Vol 17, Iss 3, p 469 (2017)

This paper presents a wireless fault detection system for industrial motors that combines vibration, motor current and temperature analysis, thus improving the detection of mechanical faults. The design also considers the time of detection and furthe

Externí odkaz: https://doaj.org/article/b215137fc7ee4719a6b804da2ed47898

Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach

Autor: Allouche, Abdallah, Etien, Erik, Rambault, Laurent, Doget, Thierry, Cauet, Sébastien, Sakout, Anas

Publikováno v: Sensors, Vol 20, Iss 5011, p 5011 (2020)
Sensors
Sensors, MDPI, 2020, 2020 (17), ⟨10.3390/s20175011⟩
Sensors, MDPI, 2020, 20 (17), pp.5011. ⟨10.3390/s20175011⟩
Sensors (Basel, Switzerland)
Sensors, 2020, 2020 (17)

International audience; This article presents a mechanical fault diagnosis methodology in synchronous machines using only a single current measurement in variable speed conditions. The proposed methodology uses order tracking in order to sample the a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::3170d0ffdd0dea03e7159493d2671045
https://www.mdpi.com/1424-8220/20/17/5011

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