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Wireless monitoring of power consumption for industrial robot during a pick and place task for predictive maintenance

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dc.citedby1
dc.contributor.authorFadhil J.A.en_US
dc.contributor.authorHussein A.F.en_US
dc.contributor.authorQudr L.A.Z.en_US
dc.contributor.authorSabry A.H.en_US
dc.contributor.authorid57219258204en_US
dc.contributor.authorid56648241000en_US
dc.contributor.authorid57224352175en_US
dc.contributor.authorid56602511900en_US
dc.date.accessioned2023-05-29T09:06:37Z
dc.date.available2023-05-29T09:06:37Z
dc.date.issued2021
dc.description.abstractIndustrial companies follow different maintenance strategies to increase operational reliability and reduce costs. One way to reduce maintenance costs is by real-time inspection of power consumptions to predict the potential failure of industrial machines. Wireless monitoring is essential as it provides safe and remote measuring for such applications. Related studies utilized efficient devices and strategies for monitoring the energy consumption of industrial machines, but didn't present a cost-effective and simple design accurately monitoring the power for multi-degree of freedom (MDOF) robots. The objective of this work is to develop a cost-effective wireless power consumption monitoring system enhancing predictive maintenance purposes for MDOF industrial robots. Unlike the traditional Zigbee-based WSN mentioned in the literature, the presented scheme includes only two RF modules, a single remote-sensing node called router XBee and another module at the monitoring station connected to a PC. The key feature of this cost-effective design is the ability to measure, process, and transfer data required to perform energy monitoring by only using two modules. ABB-IRB-1200 robot manipulator is used as a practical platform to test the effectiveness of the developed design. The measurement of power consumption is conducted via performing a task called pick- and-place by the robot. The produced consumption profile of the robot input power can be used further for energy modeling and estimation. � 2021 Little Lion Scientific. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage2971
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85109173635
dc.identifier.spage2964
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85109173635&partnerID=40&md5=a4412e88468f534089111b507aa1c48d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26079
dc.identifier.volume99
dc.publisherLittle Lion Scientificen_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleWireless monitoring of power consumption for industrial robot during a pick and place task for predictive maintenanceen_US
dc.typeArticleen_US
dspace.entity.typePublication
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