Abstract
Noise is a common physical stress found in the working environment. Any forms of work will usually involve physical activities and the use of tools, equipment or machinery. Noise is inherently produced when these activities or machinery cause mechanical vibrations in the media. Noise or unwanted sound' is unwanted because exposures to high noise levels can cause noise induced hearing loss; hinder communication leading to an accident; or can be annoying to exposed persons. For protection of workers from the deleterious effects of noise, the physical characteristics of sound and noise in order to assess and subsequently control excessive noise exposures need to know. In the industrial settings, there are different types of noise. These are characterized by their degree of fluctuations, and the nature and duration of events. By identifying the areas and machinery that emits excessive noise level and evaluate each individual employee in the identified groups with daily noise exposure level for compliance with Regulation 9 of the Factory and Machinery Act (Noise Exposure) Regulations 1989. Personal noise exposure evaluation indicates the extend of the severity of an employee noise exposure and defines clearly which job may have excessive occupational noise exposure. Sound Level Meter is used to identify the area monitoring while Dosimeter is used to personal monitoring. The data that appear from the dosimeter are used to analyze the result.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Muin, Rosydi 2006635948 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohd Abbas, Norliana UNSPECIFIED |
Subjects: | T Technology > TD Environmental technology. Sanitary engineering > Noise pollution. Noise and its control |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering |
Programme: | Bachelor Engineering (Hons) Mechanical |
Keywords: | Noise, physical stress, Factory and Machinery Act |
Date: | 2010 |
URI: | https://ir.uitm.edu.my/id/eprint/68334 |
Download
68334.pdf
Download (16kB)