Robust Motor Current Signature Analysis (MCSA)-based Fault Detection under Varying Operating Conditions

Autor: Dehong Liu, Hiroshi Inoue, Makoto Kanemaru

Publikováno v: 2022 25th International Conference on Electrical Machines and Systems (ICEMS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2bce4cb0363f256cd177b463e1987d3d
https://doi.org/10.1109/icems56177.2022.9983454

Motor Current Signature Analysis (MCSA) from membrane patch maker: assessment for the solid contamination level from used oil samples.

Autor: Surapol Raadnui

Publikováno v: International Journal of COMADEM; Jan2018, Vol. 21 Issue 1, p31-36, 6p

ANALISIS PENGARUH KERUSAKAN ROTOR PADA MOTOR INDUKSI 3 PHASA DENGAN METODE MOTOR CURRENT SIGNATURE ANALYSIS (MCSA)

Autor: Dwi Prayogo

Publikováno v: EPIC : Journal of Electrical Power, Instrumentation and Control. 2

Motor Induksi telah mendominasi bidang konversi energi elektromekanik dengan penggunaan sekitar 80% dari berbagai jenis motor listrik yang digunakan di perindustrian. kerusakan-kerusakan motor induksi sering kali kita temui, salah satunya kerusakan r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5947a51d285db9e2858043de9efe0c82
https://doi.org/10.32493/epic.v2i2.2888

Motor Current Signature Analysis (MCSA) to Detect Cage Winding Defects

Autor: William T. Thomson

Publikováno v: Current Signature Analysis for Condition Monitoring of Cage Induction Motors ISBN: 9781119175476
Current Signature Analysis for Condition Monitoring of Cage Induction Motors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd9c000b62d89252932acf532dc83f3b
https://doi.org/10.1002/9781119175476.ch4

Motor Current-Based Degradation Modeling for Tool Wear Hybrid Prognostics in Turning Process

Autor: Atefeh Gavahian, Chris K Mechefske

Publikováno v: Machines, Vol 11, Iss 8, p 781 (2023)

For many machines with turning process systems, the application of economical indirect Tool Condition Monitoring (TCM) is enhanced by utilizing internal encoder spindle motor current signals. In this study, we proposed a novel approach to extract the

Externí odkaz: https://doaj.org/article/e2134571eef44c2684c199b3a53624e6