Open AccessAge Monitoring and Fault Detection using Iot
Author(s) -
Dr.J. Madhusudanan*,
R. Deepika,
G. Mithra,
S. Suvathy
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3551.049620
Subject(s) - internet of things , fault (geology) , key (lock) , fault detection and isolation , computer science , rotor (electric) , the internet , induction motor , measure (data warehouse) , condition monitoring , embedded system , computer security , automotive engineering , real time computing , reliability engineering , engineering , electrical engineering , artificial intelligence , data mining , actuator , world wide web , voltage , seismology , geology
The Internet of Things (IoT) has a monumental development in recent trends of commercial, environmental, and medical applications. The motors are considered the most important device in industries as of today. Hence, it is necessary to detect the defects of the motor and to increase the attention of defect detection by using different kinds of technologies like IoT. The advantages of a motor is that it is a simple rotor construction resulting in low value, ruggedness, and has low maintenance needs. Here, we present a condition observation with fault detection system for motor supported Internet of Things (IoT) for safe and economic electronic communication in industrial fields and we measure the aging of the motor by this system. To develop a motor observation system for detecting the defects and to calculate the aging (i.e) Lifespan Prediction of the motors is the key concept of this project.