UPM Institutional Repository

Wireless sensors system for broken rotor bar fault monitoring using wavelet analysis


Citation

Mehrjou, Mohammad Rezazadeh and Mariun, Norman and Karami, Mahdi and Misron, Norhisam and Mohd Radzi, Mohd Amran (2015) Wireless sensors system for broken rotor bar fault monitoring using wavelet analysis. In: 4th International Conference on Electronic Devices, Systems and Applications (ICEDSA), 14–15 Sept. 2015, Hotel Istana, Kuala Lumpur, Malaysia. (pp. 1-10).

Abstract

Accurate condition monitoring prevents unexpected failures in electrical systems including induction machines, and hence improves their performance significantly. To enhance the reliability of condition monitoring systems, wireless sensor systems are developed. In the recent years, researchers have placed considerable emphasis on developing cost-effective scheme using wireless sensor systems for fault diagnosis of equipments in industry. As broken rotor bar is one of the main causes of malfunction in electrical motors, this paper proposes a method for early detection of this failure in induction machines using wireless sensor system. In this respect, a test bed is developed where a sensor measures the motor current and then a microcontroller connected to this current sensor read and send the data to wireless sensor for remote real time data analysis. In the receiver unit, a Lab VIEW based program is developed to store data in a database and MATLAB is used for signal processing and fault.


Download File

[img] PDF
mse15_99_012029.pdf
Restricted to Repository staff only

Download (1MB)

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1088/1757-899X/99/1/012029
Publisher: IOP Publishing
Keywords: Wireless sensor systems; Rotor bar; Monitoring
Depositing User: Nabilah Mustapa
Date Deposited: 17 May 2016 09:13
Last Modified: 17 May 2016 09:13
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1088/1757-899X/99/1/012029
URI: http://psasir.upm.edu.my/id/eprint/43049
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item