Comparative Analysis between PI and Wavelet Transform for the Fault Detection in Induction Motor
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 7
Abstract
Squirrel cage Induction motor is widely used in industries because roughest construction, highly reliable, low cost, high efficiency, user friendly and maintenance is minimum as compare to other motor. Induction motor monitoring has a challenging task for researcher engineers' and industries. In this paper we will discusses the fundamental fault in induction motor. The PI & wavelet transform is considered the most popular fault detection method now a day because it can easy detect the common fault in induction machine such as turn to turn s/c, broken rotor bar, bearing deterioration & open circuit faults etc. According to IEEE-IAS most severe fault is bearing fault (44%), then second is stator winding fault (26%), and last is rotor broken bar fault (8%) and other fault is (22%). Another survey according to Allianz most severe fault is stator winding fault (66%), then rotor fault (13%) and bearing fault is (13%) and other is (13%). (4). There are many methods for detection the fault basically conventional method and other is signal processing technique. Automatic fault detection is widely used in industries because save the maintenance time and money. The overall problems are subdivided into two distinct key modules: (a) operation and control, (b) fault diagnosis. In this paper we proposed a method of comparative analysis between PI & Wavelet Controller for fault detection in Induction motor and find out which one is the best. In this paper we consider only two faults: (a) Broken rotor bar fault, (b) short stator winding fault. Basically bearing is the outer portion of the motor so bearing fault detection is easy as compare to short stator winding fault or broken rotor bar fault.
Authors and Affiliations
Siddharth Ukey*
CONFORMATIONAL COMPARISON BETWEEN PURE AND CHEMICALLY MODIFIED AGAROSE
In this work, we conduct a statistical study to compare the molecular conformations of pure agarose and agarose chem-ically modified. . It is to follow the process of their gelation through calculation of the rate...
EFFECTIVE DATA MINING USING NEURAL NETWORKS
Classification is one of the data mining problems receiving great attention recently in the database community. This paper presents an approach to discover symbolic classification rules using neural networks. Neural net...
A Survey of an Integrated Scheduling Scheme with Long-Range and Short-Range Dependent Traffic
—Multimedia applications in wireless networks are usually categorized into various classes according to their traffic patterns and differentiated Quality-of-Service (QoS) requirements. The traffic of heterogeneo...
PRODUCTION INTERRUPTIONS AND THEIR IMPACT IN MANUFACTURING INDUSTRY
To cope up with the dynamic environment of free market economy Bangladesh needs to have industries with smooth running of the production system. Not only RMG sector but also other sectors such as; Steel Re-rolling...
SIGNAL STRENGTH EVALUATION ON THE BASIS OF HANDOFF PARAMETERS USING FEMTOCELL CONCEPT
The best way to increase the system capacity of a wireless link is by getting the transmitter and receiver closer to each other, creates dual benefits of higher - quality links and more spatial reuse. A less expensiv...