Analysis of Fault Diagnosis of DC Motors by Power Consumption Pattern Recognition

European Journal of Enterprise Technologies, 5(5 (113), 14–20, 2021. doi:10.15587/1729-4061.2021.240262

7 Pages Posted: 31 Jan 2022

See all articles by Hasan Shakir Majdi

Hasan Shakir Majdi

Al-Mustaqbal University College

Sameera Sadey Shijer

Department of Manager of Training Training and Workshop Center University of Technology

Abduljabbar Owaid Hanfesh

University of Technology

Laith Jaafer Habeeb

University of Technology

Ahmad H. Sabry

University Tenaga National

Date Written: October 31, 2021

Abstract

Early detection of faults in DC motors extends their life and lowers their power usage. There are a variety of traditional and soft computing techniques for detecting faults in DC motors. Many diagnostic techniques have been developed in the past to detect such fault-related patterns. These methods for detecting the aforementioned potential failures of motors can be utilized in a variety of scientific and technological domains. Motor Power Pattern Analysis (MPPA) is a technology that analyzes the current and voltage provided to an electric motor using particular patterns and protocols to assess the operational status of the motors without disrupting production. Engineers and researchers, particularly in industries, face a difficult challenge in monitoring spinning types of equipment. In this work, we are going to explain how to use the motor power pattern/signature analysis (MPPA) of a power signal driving a servo to find mechanical defects in a gear train. A hardware setup is used to simplify the demonstration of obtaining spectral metrics from the power consumption signals. A DC motor, a set of metal or nylon drive gears, and a control circuit are employed. The speed control circuit was eliminated to allow direct monitoring of the DC motor's current profiles. Infrared (IR) photo-interrupters with a 35 mm diameter, eight-holed, standard servo wheel were employed to gather the tachometer signal at the servo's output. The mean value of the measurements was 318 V for the healthy profile, while it was 330 V for the faulty gears power data. The proposed power consumption profile analysis approach succeeds to recognize the mechanical faults in the gear-box of a DC servomotor via examining the mean level of the power consumption pattern as well as the extraction of the Power Spectral Density (PSD) through comparing faulty and healthy profiles

Keywords: monitoring, DC servomotor, power consumption, pattern recognition, power profile, mechanical faults

Suggested Citation

Majdi, Hasan Shakir and Shijer, Sameera Sadey and Hanfesh, Abduljabbar Owaid and Habeeb, Laith Jaafer and Sabry, Ahmad H., Analysis of Fault Diagnosis of DC Motors by Power Consumption Pattern Recognition (October 31, 2021). European Journal of Enterprise Technologies, 5(5 (113), 14–20, 2021. doi:10.15587/1729-4061.2021.240262, Available at SSRN: https://ssrn.com/abstract=3961642

Hasan Shakir Majdi (Contact Author)

Al-Mustaqbal University College ( email )

Hillah
Iraq

Sameera Sadey Shijer

Department of Manager of Training Training and Workshop Center University of Technology ( email )

Baghdad
Iraq, 19006
Ukraine

Abduljabbar Owaid Hanfesh

University of Technology ( email )

Alsinaa str.
Baghdad, 19006
Iraq

Laith Jaafer Habeeb

University of Technology ( email )

AL-Gazalih str., 100, Area 3, Home 8
Baghdad, 19006
Iraq

Ahmad H. Sabry

University Tenaga National ( email )

43009 Kajang, Selangor
Malaysia

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