Abstract
Wind energy is the leading candidate between the renewable energy sources as alternative to burning fossil fuels. A proper and accurate condition monitoring plan is mandatory to ensure high reliability and availability required by energy production systems. This paper proposes a Wireless Mesh Network to implement a widely distributed condition monitoring system for a wind farm. Using different types of sensor, the condition monitoring system evaluates the health state of each turbine. The aim of the work is to propose an architecture able to identify possible incipient failures in the most critical turbine’s components. Using this system, it is possible to guarantee continuity of service minimizing the unplanned maintenance operation due to hidden failure.
Highlights
In recent years, the diagnostic process became fundamental in several different fields of applications
The article focused on the reliability-centred maintenance procedure, which leads to the optimal maintenance task choice
The first part of the article described the advantages of the proposed hybrid tree wireless mesh network and illustrated its possible deployment for the sensor nodes inside a wind farm
Summary
The diagnostic process became fundamental in several different fields of applications. RCM provides a decision process to identify applicable and effective diagnostic and preventive maintenance requirements for equipment in accordance with the safety-related, operational, and economic consequences of identifiable failures as well as the degradation mechanisms responsible for those failures. International standard IEC 60300-3-11 proposes a decision diagram for the task assessment that assigns the CM as the optimal maintenance solution for improving system availability and minimising unexpected failures. For this reason, this article proposes a CM network for a wind farm based on a customised low-cost wireless sensor network
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