Open AccessPredictive Maintenance Applied to Three phase Induction Motors
Author(s) -
Fatma Zohra Dekhandji,
Salah Eddine Halledj,
Oussama Zaboub
Publication year - 2019
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v4i2.84
Subject(s) - induction motor , predictive maintenance , reliability engineering , voltage , engineering , fault (geology) , matlab , reliability (semiconductor) , shut down , fault detection and isolation , computer science , automotive engineering , electrical engineering , power (physics) , physics , actuator , quantum mechanics , seismology , geology , nuclear engineering , operating system
Induction machines are widely used in industry. The operating conditions may sometimes lead the machine into different fault situations. The machine should be shut down when a fault is experienced to avoid complete process failure and for the safety of the workers. The predictive maintenance consists of scheduling maintenance activities only when a functional failure is detected. The advantages of predictive maintenance are accepted in many industries because of its efficiency in fault detection during early stages and thus reducing unscheduled down time. It increases productivity, improves quality and provides the feeling of safety and reliability to staff. The main types of external faults experienced by these motors are over loading; single phasing, unbalanced supply voltage, phase reversal, ground fault, under voltage and over voltage. MATLAB/SIMULINK simulation is used in this work for the detection and analysis of the faults on induction motor.