Advancement of Fault Diagnosis and Detection Process in Industrial Machine Environment

• Main Authors: Altaf S., Mehmood M. S., Soomro M. W.
• Format: Article
• Language: English
• Published: Sumy State University 2019-09-01
• Series: Журнал інженерних наук
• Subjects: machine fault diagnosis; signal processing technique; induction motor; condition monitoring
• Online Access: http://jes.sumdu.edu.ua/wp-content/uploads/2019/09/JES_2019_02_D1-D8.pdf
• ISSN: 2312-2498; 2414-9381

Machine fault diagnosis is a very important topic in industrial systems and deserves further consideration in view of the growing complexity and performance requirements of modern machinery. Currently, manufacturing companies and researchers are making a great attempt to implement efficient fault diagnosis tools. The signal processing is a key step for the machine condition monitoring in complex industrial rotating electrical machines. A number of signal processing techniques have been reported from last two decades conventionally and effectively applied on different rotating machines. Induction motor is the one of widely used in various industrial applications due to small size, low cost and operation with existing power supply. Faults and failure of the induction machine in industry can be the cause of loss of throughput and significant financial losses. As compared with the other faults with the broken rotor bar, it has significant importance because of severity which leads to a serious breakdown of motor. Detection of rotor failure has become significant fault but difficult task in machine fault diagnosis. The aim of this paper is indented to summarizes the fault diagnosis techniques with the purpose of the broken rotor bar fault detection.