Mechatronics technology in predictive maintenance method

6th International Conference on Mechatronics

机械制造;无线电电子学

Majid, Nurul Afiqah A.^1 ; Muthalif, Asan G.A.^1

Smart Structures, Systems and Control Research Lab (S3CRL), Department of Mechatronics Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia^1

关键词: Diagnostic process;    Frequency contents;    Lab VIEW;    Mechanical systems;    Mechatronics systems;    Predictive maintenance;    Predictive maintenance methods;    Vibration signature analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/260/1/012006/pdf
DOI  :  10.1088/1757-899X/260/1/012006

来源: IOP

【 摘 要 】

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 includes imbalance, 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.