Title :
AC motor fault diagnosis at incipient stage using programmable logic controller
Author :
Irfan, Muhammad ; Saad, Nursyakinah ; Ibrahim, Roliana ; Asirvadam, Vijanth S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Bander Sei Iskander, Malaysia
fDate :
May 30 2013-June 1 2013
Abstract :
Alternating Current (AC) motors are extensively used in the industries and it is essential to protect these motors from unexpected breakdowns and to detect faults at incipient level so that planned maintenance could be done. In the last three decades various fault diagnosis techniques has been developed but these techniques are considered intrusive as they require accessability to motor for data collection. Also the electromechanical devices, sensors and integrated circuits used in these techniques are expensive and not reliable. Special attention is given to non-invasive techniques to detect defects without accessing the machines. This paper attempts to provide a new approach for condition monitoring of AC motors through intelligent fault diagnosis based on programmable logic controllers. The stator current analysis which is non-invasive and economical method is used with LabVIEW signal processing tools. The current signal is analyzed via Fast Fourier Power spectrum to detect the bearing faults at incipient stages. The technique is validated at three different speeds.
Keywords :
AC motors; condition monitoring; control engineering computing; electric sensing devices; fault diagnosis; integrated circuits; machine bearings; signal processing; stators; virtual instrumentation; AC motor fault diagnosis; LabVIEW signal processing tool; alternating current motor; bearing fault; condition monitoring; data collection; economical method; electromechanical device; fast Fourier power spectrum; faults detection; integrated circuits; noninvasive method; programmable logic controller; sensor; stator current analysis; Data acquisition; Fault diagnosis; Induction motors; Maintenance engineering; Rotors; Stators; Condition monitoring; Induction motor; Intelligent diagnostic; Programmable logic controller; Signal processing;
Conference_Titel :
Sustainable Utilization and Development in Engineering and Technology (CSUDET), 2013 IEEE Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4673-4689-4
DOI :
10.1109/CSUDET.2013.6670979