dc.contributor.author | Muhammad Naufal Mansor | |
dc.date.accessioned | 2008-12-31T12:51:53Z | |
dc.date.available | 2008-12-31T12:51:53Z | |
dc.date.issued | 2008-03 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/3817 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | This paper presents an approach to the condition monitoring in vehicle. A vibration test profiles is obtained in road testing of sedan sized car. The first step is to define the performance parameters under study. The output depend variable are frequency, R.M.S, energy, and acceleration amplitude which have been considered for the measurement. Design parameter such as steering ,brake pedal, seat and engine are defined as those related directly to operational testing on specific test vehicle and which summarize the input to the vehicle in the given speed conditions. The overall objective of the research study was to analyse the vibration signature due to the mechanical problem in order to reduce the rate of the vibration. All the performance and operational characteristics of leading-edge of vibration technological were approached to monitor
the vehicle systems. Key to the success the analysis of this thesis is to extract accurate vibration property data such as that provided by the LMS SCADAS Mobile analyzer. To take full advantage of the predictive properties on gathering data, it is essential that the linear and non-linear, properties of the materials should be incorporated into the research. These properties can only be analysed using LMS Test.Xpress. Hence, vibration technique is the way provided a better accuracy in vehicle monitoring and furthermore this thesis is succeeded. | en_US |
dc.language.iso | en | en_US |
dc.publisher | School of Mechatronic Engineering | en_US |
dc.subject | Condition monitoring | en_US |
dc.subject | Vehicle cabin | en_US |
dc.subject | Vibration signal | en_US |
dc.subject | Vibration | en_US |
dc.subject | Vibration tests | en_US |
dc.subject | Motor vehicles -- Vibration | en_US |
dc.title | Condition monitoring in vehicle cabin using vibration signal characterization | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Bibi Intan Suraya Murat (Advisor) | en_US |