Mechatronics technology in predictive maintenance method
This paper presents recent mechatronics technology that can help to implement predictive maintenance by combining intelligent and predictive maintenance instrument. Vibration Fault Simulation System (VFSS) is an example of mechatronics system. The focus of this study is the prediction on the use...
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my.iium.irep.62873 http://irep.iium.edu.my/62873/ Mechatronics technology in predictive maintenance method A. Majid, Nurul Afiqah Abdul Muthalif, Asan Gani T Technology (General) This paper presents recent mechatronics technology that can help to implement predictive maintenance by combining intelligent and predictive maintenance instrument. Vibration Fault Simulation System (VFSS) is an example of mechatronics system. The focus of this study is the prediction on the use of critical machines to detect vibration. Vibration measurement is often used as the key indicator of the state of the machine. This paper shows the choice of the appropriate strategy in the vibration of diagnostic process of the mechanical system, especially rotating machines, in recognition of the failure during the working process. In this paper, the vibration signature analysis is implemented to detect faults in rotary machining that includesimbalance, mechanical looseness, bent shaft, misalignment, missing blade bearing fault, balancing mass and critical speed. In order to perform vibration signature analysis for rotating machinery faults, studies have been made on how mechatronics technology is used as predictive maintenance methods. Vibration Faults Simulation Rig (VFSR) is designed to simulate and understand faults signatures. These techniques are based on the processing of vibrational data in frequency-domain. The LabVIEW-based spectrum analyzer software is developed to acquire and extract frequency contents of faults signals. This system is successfully tested based on the unique vibration fault signatures that always occur in a rotating machinery. IOP Publishing 2017-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62873/1/62873%20Mechatronics%20technology%20in%20predictive.pdf application/pdf en http://irep.iium.edu.my/62873/2/62873%20Mechatronics%20technology%20in%20predictive%20SCOPUS.pdf A. Majid, Nurul Afiqah and Abdul Muthalif, Asan Gani (2017) Mechatronics technology in predictive maintenance method. In: 6th International Conference on Mechatronics - ICOM'17, 8th–9th August 2017, Kuala Lumpur, Malaysia. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012006/pdf 10.1088/1757-899X/260/1/012006 |
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T Technology (General) A. Majid, Nurul Afiqah Abdul Muthalif, Asan Gani Mechatronics technology in predictive maintenance method |
description |
This paper presents recent mechatronics technology that can help to implement
predictive maintenance by combining intelligent and predictive maintenance instrument.
Vibration Fault Simulation System (VFSS) is an example of mechatronics system. The focus of
this study is the prediction on the use of critical machines to detect vibration. Vibration
measurement is often used as the key indicator of the state of the machine. This paper shows the
choice of the appropriate strategy in the vibration of diagnostic process of the mechanical system,
especially rotating machines, in recognition of the failure during the working process. In this
paper, the vibration signature analysis is implemented to detect faults in rotary machining that
includesimbalance, mechanical looseness, bent shaft, misalignment, missing blade bearing fault,
balancing mass and critical speed. In order to perform vibration signature analysis for rotating
machinery faults, studies have been made on how mechatronics technology is used as predictive
maintenance methods. Vibration Faults Simulation Rig (VFSR) is designed to simulate and
understand faults signatures. These techniques are based on the processing of vibrational data in
frequency-domain. The LabVIEW-based spectrum analyzer software is developed to acquire and
extract frequency contents of faults signals. This system is successfully tested based on the
unique vibration fault signatures that always occur in a rotating machinery. |
format |
Conference or Workshop Item |
author |
A. Majid, Nurul Afiqah Abdul Muthalif, Asan Gani |
author_facet |
A. Majid, Nurul Afiqah Abdul Muthalif, Asan Gani |
author_sort |
A. Majid, Nurul Afiqah |
title |
Mechatronics technology in predictive maintenance method |
title_short |
Mechatronics technology in predictive maintenance method |
title_full |
Mechatronics technology in predictive maintenance method |
title_fullStr |
Mechatronics technology in predictive maintenance method |
title_full_unstemmed |
Mechatronics technology in predictive maintenance method |
title_sort |
mechatronics technology in predictive maintenance method |
publisher |
IOP Publishing |
publishDate |
2017 |
url |
http://irep.iium.edu.my/62873/1/62873%20Mechatronics%20technology%20in%20predictive.pdf http://irep.iium.edu.my/62873/2/62873%20Mechatronics%20technology%20in%20predictive%20SCOPUS.pdf http://irep.iium.edu.my/62873/ http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012006/pdf |
_version_ |
1643617096898183168 |
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13.211869 |