Fault detection and remote monitoring of robotic manipulator using Internet of Things (IoT)
Khan, Faiq Ahmad; Khan, Muhammad Hamza; Khan, Fizza; Bashir, Mubashir; Ullah, Khalil (2022-04-27)
Faiq Ahmad Khan, Muhammad Hamza Khan, Fizza Khan, Mubashir Bashir, & Khalil Ullah. (2022). Fault detection and remote monitoring of robotic manipulator using Internet of Things (Iot). NUML International Journal of Engineering and Computing, 1(1), 39–53. https://doi.org/10.52015/nijec.v1i1.12
© The Author(s) 2022. NUML International Journal of Engineering and Computing is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
https://creativecommons.org/licenses/by-nc/4.0/
https://urn.fi/URN:NBN:fi-fe20231024141170
Tiivistelmä
Abstract
Remote monitoring of industrial machines is important in order to have high productivity continuous process control. New emerging technologies such as Internet of Things (IoT), are facilitating the process of automation and remote controlling in multiple ways. In this research work, a robotic manipulator based on PUMA robot structure and an intelligent remote maintenance system is developed aimed to ensure the continual accurate operation of a robotic manipulator. Entire manipulator is designed from different types of motors like DC motors, stepper motors and servo motors along with their motor drivers. Various types of sensors like Tachometer, DHT11 Temperature and Humidity sensor, Capacitance meter and EMF Detector are also designed and interfaced with the manipulator for identification of different faults. Android App and Wi-Fi module are used for the remote-controlled automation purposes. The authors were succeeded in detecting various faults in the robotic manipulator and notifying the operator in real-time.
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