Wireless sensor network : machine degradation system
In practice, degradation of a machine is closely monitored using condition monitoring. This predictive methodology has been widely adopted in the industry due to its capability to anticipate abnormal conditions and using analysing tool, the source of the conditions could be specified. However, issue...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/40901 |
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| 總結: | In practice, degradation of a machine is closely monitored using condition monitoring. This predictive methodology has been widely adopted in the industry due to its capability to anticipate abnormal conditions and using analysing tool, the source of the conditions could be specified. However, issues such as labour intensive, human limits, accessibility pose limitations in condition monitoring applications. From recent studies, wireless sensor network (WSN) has shown significant results in performing condition monitoring applications. With this motivation, this project has studies the performance of using WSN in condition monitoring based on vibration. Data is acquired using Crossbow IRIS mote wireless sensors and displayed onto the LabVIEW software. This study has attempted to use Principal Component Analysis (PCA) to perform vibration analysis for low sampling application. A customised procedure based on the ISO 17359 standard for condition monitoring procedures is defined and utilized. At the end of the report, problems encountered in implementing the WSN and vibration analysis are explained. A graphical user interface using LabVIEW for the machine degradation system has been developed. |
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