University of Oulu

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

Fault detection and remote monitoring of robotic manipulator using Internet of Things (IoT)

Saved in:
Author: Khan, Faiq Ahmad1; Khan, Muhammad Hamza2; Khan, Fizza3;
Organizations: 1Department of Electrical Engineering, National University of Computer and Emerging Sciences (FAST) Islamabad
2Centre for Wireless Communications (CWC), University of Oulu, Finland
3Department of Electrical Engineering, National University of Computer & Emerging Sciences, Peshawar, Pakistan
4Department of Software Engineering, University of Malakand, Pakistan
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20231024141170
Language: English
Published: National University of Modern Languages, 2022
Publish Date: 2023-10-24
Description:

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.

see all

Series: NUML international journal of engineering and computer sciences
ISSN: 2788-9629
ISSN-E: 2791-3465
ISSN-L: 2788-9629
Volume: 1
Issue: 1
Pages: 39 - 53
DOI: 10.52015/nijec.v1i1.12
OADOI: https://oadoi.org/10.52015/nijec.v1i1.12
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 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/