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Vibration analysis of cordless impact wrench mechanical system using statistical analysis method

Ramli, Haiqal Dzarif (2022) Vibration analysis of cordless impact wrench mechanical system using statistical analysis method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Condition monitoring through vibration analysis can detect and identify the faulty from rotating machine. Thus, improve the safety, productivity and reduces maintenance costs while increases reliability. The literature study shows there many previous studies on condition monitoring through vibration analysis of bearing, gear and shaft. Vibration signal analysis (VSA) is one of the mostly used method of condition monitoring because through VSA, the type of defect and the severity of defect can be detected at early stage which can help to reduce massive breakdown risk. In this study, the vibration signal analysis of cordless impact wrench will be studied and analyzed. The cordless impact wrench itself has a natural frequency vibration but it faulty condition, the excess vibration caused will give user a bad experience in term of comfortability and quality of work. Therefore, a study about it can help to understand the vibration signal characteristic. For this study, the vibration signal will be recorded using accelerometer transducer and data acquisition (DAQ) device. Then, the data will be filtered and processed by MATLAB and Microsoft Excel to extract the required vibration signal from time domain spectrum. Thus, statistical data such as root mean square (RMS) presented in the form of graph can be compared based on the normal and abnormal condition. Vibration spectrum of frequency domain from normal and abnormal condition can be analyzed to study and compare the pattern of the spectrum if there is any faulty in the cordless impact wrench.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Cordless impact wrench, Vibration signal, Condition
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Library > Final Year Project > FTKMP
Depositing User: Sabariah Ismail
Date Deposited: 19 Apr 2024 01:50
Last Modified: 19 Apr 2024 01:50
URI: http://digitalcollection.utem.edu.my/id/eprint/31476

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