Induction motor diagnosis with use of electric parameters
Krzysztof Roczek 1  
,  
 
 
More details
Hide details
1
Opel Manufacturing Poland Sp. z o.o.
2
Silesian University of Technology
CORRESPONDING AUTHOR
Krzysztof Roczek   

Opel Manufacturing Poland Sp. z o.o.
Online publication date: 2019-10-16
Publication date: 2019-10-16
Submission date: 2019-04-18
Final revision date: 2019-09-18
Acceptance date: 2019-10-12
 
Diagnostyka 2019;20(4):65–74
KEYWORDS
TOPICS
ABSTRACT
Induction motors are very commonly used in industry. From that reason more and more often different methods of induction motor diagnosis are applied. In this article motor current signature analysis (MCSA) method is presented with special Extended Park’s Vectors Approach. This method extends the possibility of current signals analysis in frequency domain giving better recognition of some faults. In the presented experiment few malfunctions were applied to the laboratory stand which consists of two different induction motors. In both cases they were supplied from frequency inverter, therefore additionally influence of this type of control on current spectrum is presented. The results of presented research and gathered experience in this domain are the basis for the elaboration of advanced on-line diagnostic system for industrial object.
 
REFERENCES (20)
1.
Mazur AG. Electric Motor Drive Installation and Troubleshooting, Troubleshooting Electric/Electronic Systems, Publisher: Amer Technical Pub; 3rd Edition edition 2015.
 
2.
Dongdong Z, Ruichi A, Thomas W. Effect of voltage unbalance and distortion on the loss characteristics of three-phase cage induction motor, 2017.
 
3.
Gheitasi A, Motor fault recognition using distributed current signature analysis, School of Engineering, 2013, interner address https://openrepository.aut.ac.....
 
4.
Dubravko M. Brief review of motor current signature analysis. 2015: 5(1): 14-26.
 
5.
Mohamed el Hachemi Benbouzid. A review of induction motors signature analysis as a medium for faults detection, IEEE transactions on industrial electronics. 2000; 47(5):984-993.
 
6.
Weinreb K, Duda A, Petryna J, Sułowicz M. Diagnostyka ekscentryczności silnika indukcyjnego w oparciu o pomiar strumienia poosiowego. Maszyny elektryczne. 2015;2:13-20.
 
7.
Salomäki J, Hinkkanen M, Jorma L. Influence of Inverter Output Filter on the Selection of PWM Technique, IEEE, 2006:1052-1057 https://doi.org/10.11.09/ISIE.....
 
8.
Fidali M, Nowoczesne metody diagnozowania napędów elektrycznych. Służby utrzymania ruchu. 2016; 5(61):32-36.
 
9.
William R Finley, Mark M. Hodowanec, Warren G. Holter, An Analytical Approach to Solving Motor Vibration Problems, IEEE, Paper No. PCIC-99-20.
 
10.
ISO 20958:2013 (en) Condition monitoring and diagnostics of machine systems- Electrical signature analysis of three-phase induction motors.
 
11.
SINAMICS V20 Inverter, operating instruction, Siemens 2017.
 
12.
LEM HAS 50- Operating instruction, LEM HAS 50, available in Internet: https://www.lem.com/en/product....
 
13.
Zarei J, Hassani H, Zuolong W, Reza H, Broken rotor bars detection via Park’s vector approach based on ANFIS, IEEE, 23rd (ISIE), 2014, https://doi.org/10.11.09/isie.....
 
14.
EN 61000-2-4 Kompatybilność elektromagnetyczna (EMC) Środowisko - Poziomy kompatybilności dotyczące zaburzeń przewodzonych małej częstotliwości w sieciach zakładów przemysłowych.
 
15.
IEEE 519 Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems.
 
16.
Iorgulescu M, Beloiu R. Vibration and Current Monitoring for Fault’s Diagnosis of Induction Motors, Annals of the University of Craiova, Electrical Engineering series. 2008;32.
 
17.
Zhang P. Active thermal protection for induction motors fed by motor control devices, PhD dissertation, Georgia Institute of Technology. Pinjia Zhang 2010.
 
18.
Iorgulescu M., Study relation between fault noise in electric motor, University of Pitesti. 2010; 2(4): 69-73.
 
19.
Glinka T. Badania diagnostyczne maszyn elektrycznych w przemyśle. BOBRME Komel, 2002.
 
20.
Swędrowski L. Measuring System for Analysis of Motor Supplying Current for Diagnostic Purposes. International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Vienna, Austria. https://doi.org/10.1109/demped....
 
eISSN:2449-5220
ISSN:1641-6414