FUZZY LOGIC BASED FAULT CLASIFICATION OF NDUCTION MOTOR BEARING USED IN HOME WATER PUMP SYSTEM
The water pump is a device for moving the water from a lower pressure to a higher pressure or a lower place to a higher place. The use of the water pump is still a lot of obstacles such as it does not remove the water, short circuit in the winding, and bearing failure. This paper discusses the development of fault bearing classification of induction motor (IM) used in home water pump system using fuzzy logic model. It is difficult to classify fault bearing of IM using a mathematical model. Thus, a fuzzy logic classification is employed in this matter. This classification is divided into four conditions such as all bearing normal (N), front bearing fault (F), rear bearing fault (R), and both bearing fault (B). Whereas, the classification process consists of three stages such as taking fault data, features extraction, and fuzzy logic fault classification. The data of bearing fault is obtained from the current of the water pump IM taken using soundcard oscilloscope software. For further process these data are changed from time domain into frequency domain using Fast Fourier Transform (FFT) to aquire more fault signs during features extraction. In this stage, 4 features fault bearing data are extracted. In last stage, fuzzy logic model is used to select and clasify fault bearing of IM. The robustness of proposes fuzzy logic model is examined and results of clasification for four bearing fault condition are shown.