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Analysis of vibration effect on local exhaust ventilation system using statistical analysis method

Saharudin, Fahrul Asyraf (2022) Analysis of vibration effect on local exhaust ventilation system using statistical analysis method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Statistical analysis is a subfield of mathematics concerned with the collection, compilation, presentation, analysis, interpretation, and conclusion of data. Variables, data, samples, and populations are all fundamental notions in statistics. Variables are quantifiable aspects of a piece of data. The population encompasses all of the data that will be analysed, whereas the sample is a subset of the population. Beginning with data collection and concluding with recommendations. Although the data provides the information desired, it requires multiple processes to process the data in order to make conclusions. Data were gathered until an appropriate number was reached. Once the data has been collected, it must be organised correctly and presented in a straight forward format such as tables, graphs, charts, or diagrams. Completed data should be analysed statistically. Results will be obtained as a result of the analysis until a conclusion may be drawn based on the original data. Conclusions can be drawn from the values of the collected data and presented in a more simplified and briefer format, such as tables, graphs, or mathematical or statistical formulas. Vibration analysis, on the other hand, is described as the process of determining the vibration levels and frequencies of machinery or system and then utilising that information to determine the health of the machines or system and its components. Besides, in order to measure the local exhaust ventilation system, it all begins with the usage of an accelerometer to sense vibration. When the system is in operation, it generates vibrations. An accelerometer attached to the specific component creates a voltage signal that indicates the amount and frequency of vibration produced by the system, which is typically expressed in terms of how many times per second or minute the vibration happens. The software collects all data from the accelerometer directly into a data collector, which records the signal as amplitude vs. time, also called time waveform, amplitude vs. frequency, also called Fast Fourier Transform, or both. All of this data is analysed by computer algorithms, which are then analysed by engineers or skilled vibration analysts to determine the system's health and identify potential problems such as looseness, imbalance, misalignment, and lubrication concerns. Then, the data obtained can be interpreted to determine the appropriate course of action. Any conversation or conclusion, whether short or long term, will be lot simple to determine. As a business or industry, vibration on a certain equipment or system is critical to consider because it has a significant impact on the company's or industry's expenses and efficiency. As a result, this study of vibration analysis using statistical methods is a necessary activity in any sector of engineering in order to ensure the long-term operation of a machine or system. In this case, the machine or system needs proper maintenance activity to overcome the problem and maintain the efficiency.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Vibration, Analysis, Variables, Amplitude, Graphs, Conclusions, Accelerometer, Algorithms, Tables
Divisions: Library > Final Year Project > FTKMP
Depositing User: Sabariah Ismail
Date Deposited: 25 Feb 2023 08:23
Last Modified: 25 Feb 2023 08:23
URI: http://digitalcollection.utem.edu.my/id/eprint/27996

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