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Theses

Use of Wireless Sensor Networks for Operational Safety and Industrial Prognosis

Abstract : Effective maintenance of an industrial device can only be based on the reliability and accuracy of physical data captured on said device for monitoring purposes. In some cases, monitoring of such industrial systems or areas to be monitored can not be ensured by individual or wire sensors, for example due to access problems or hostile environments. Wireless Sensor Networks (RCSF) are an alternative. Due to the nature of the communications in these networks, and the characteristics of the devices making up the latter, an RCSF is at high risk of failures at the sensors, and in this case the loss of various data is likely - problematic for the monitoring of the device. To study the relevance of the RCSF to the so-called Prognostic and Health Management (PHM) process used to determine the maintenance plan for a device to be monitored, and the impact of the various strategies deployed in the latter on the latter, proposed a first efficient diagnostic algorithm and used it in a simulated RCSF to measure its performance (this simulator being a program that we developed).
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Ahmad Farhat. Use of Wireless Sensor Networks for Operational Safety and Industrial Prognosis. Performance [cs.PF]. Université Bourgogne Franche-Comté; Université libanaise, 2017. English. ⟨NNT : 2017UBFCD046⟩. ⟨tel-02096565⟩

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