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MASAUM Journal of Computing 1, 2 (2009) 318-325

Wireless Network Architecture for Diagnosis and Monitoring Applications

Zeashan Hameed Khan 1, Denis Genon-Catalot 2, Jean-Marc Thiriet 1

(2009-09-20)

This paper describes a distributed wireless network architecture for remote diagnosis and monitoring. Wind energy conversion system (WECS) is considered as the target application, where windmills are grouped into small clusters communicating with each other for the purpose of distributed diagnosis. The evaluation of this network is simulated to support effective communication needs required for fault detection and as a result to send an alarm or caution message to the remote monitoring station. However, as the sensitivity of application increases, strict requirements on availability, robustness, reliability and performance of network resources must be satisfied in order to meet industrial standards.

1:	Grenoble Images Parole Signal Automatique (GIPSA-lab)
	CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
2:	Laboratoire de Conception et d'Intégration des Systèmes (LCIS)
	Institut Polytechnique de Grenoble - Grenoble Institute of Technology – Université Pierre-Mendès-France - Grenoble II

Research team: SA-IGA

Subject

:

Computer Science/Automatic Control Engineering

Keyword(s): Condition monitoring – distributed diagnosis – heterogeneous wireless network – windmill farms

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From: Zeashan Khan <>

Submitted on: Monday, 12 October 2009 15:59:36

Updated on: Monday, 3 December 2012 13:30:09