Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2136
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLilo, Moneer Ali-
dc.contributor.authorMahammad, Maath Jasem-
dc.date.accessioned2022-10-17T04:43:20Z-
dc.date.available2022-10-17T04:43:20Z-
dc.date.issued2020-09-
dc.identifier.issn2252-8938-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2136-
dc.description.abstractAbstract: This paper presents the wireless system for fault detection and monitoring based on fuzzy logic technique. Wireless applications are utilized to identify, classify, and monitor faults in the real time to protect machines from damage. Two schemes were tested; first scheme fault collected X-Y-Z-axes mode while the second scheme collected Y-axis mode, which is utilized to protect the induction motor (IM) from vibrations fault. The vibration signals were processed in the central computer to reduce noise by signal processing stage, and then the fault was classified and monitored based on Fuzzy Logic (FL). The wireless vibration sensor was designed depending on the wireless techniques and C++ code. A fault collection, noise reduction, vibration fault classification and monitoring were implemented by MATLAB code. In the second scheme the processed real time was reduced to 60%, which is included collection, filtering, and monitoring fault level. Results showed that the system has the ability to early detect the fault occurrence on the machine with processing time of 1.721s. This work will reduce the maintenance cost and provide the ability to utilize the system with harsh industrial applications to diagnose the fault in real time processing.en_US
dc.language.isoenen_US
dc.publisherIAES International Journal of Artificial Intelligence (IJ-AI)en_US
dc.subjectFault detectionen_US
dc.subjectFuzzy logicen_US
dc.subjectReal time processingen_US
dc.subjectSignals processingen_US
dc.subjectWireless sensoren_US
dc.titleDesign and implementation of wireless system for vibration fault detection using fuzzy logicen_US
dc.typeArticleen_US
Appears in Collections:الهندسة الكهربائية

Files in This Item:
File Description SizeFormat 
Abstract.pdf9.84 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.