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Analysis Of Fault Diagnosis Of Dc Motors By Power Consumption Pattern Recognition

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dc.contributor.authorMajdi H.S.en_US
dc.contributor.authorShijer S.S.en_US
dc.contributor.authorHanfesh A.O.en_US
dc.contributor.authorHabeeb L.J.en_US
dc.contributor.authorSabry A.H.en_US
dc.contributor.authorid55898722600en_US
dc.contributor.authorid57219150285en_US
dc.contributor.authorid57204789445en_US
dc.contributor.authorid57205652013en_US
dc.contributor.authorid56602511900en_US
dc.date.accessioned2023-05-29T09:10:56Z
dc.date.available2023-05-29T09:10:56Z
dc.date.issued2021
dc.description.abstractEarly detection of faults in DC motors extends their life and lowers their power usage. There are a vari-ety of traditional and soft computing techniques for detecting faults in DC motors. Many diagnostic tech-niques 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 pro-vided 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 diffi-cult challenge in monitoring spinning types of equip-ment. 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 met-rics from the power consumption signals. A DC motor, a set of metal or nylon drive gears, and a control cir-cuit are employed. The speed control circuit was elim-inated 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 � 2021, Authors. This is an open access article under the Creative Commons CC BY licenseen_US
dc.description.natureFinalen_US
dc.identifier.doi10.15587/1729-4061.2021.240262
dc.identifier.epage20
dc.identifier.issue5-113
dc.identifier.scopus2-s2.0-85119667813
dc.identifier.spage14
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119667813&doi=10.15587%2f1729-4061.2021.240262&partnerID=40&md5=d0fc2b11651a6d6ddb11d0c6b9f5483c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26474
dc.identifier.volume5
dc.publisherTechnology Centeren_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleEastern-European Journal of Enterprise Technologies
dc.titleAnalysis Of Fault Diagnosis Of Dc Motors By Power Consumption Pattern Recognitionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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