Smart Monitoring System for Small-scale Wind Turbine Model

G. Sudharsan, J. Vishnupriyan, K. Anand, K. Chidambarathanu
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引用次数: 1

Abstract

The most pressing challenges in the development of fossil fuel energy resources are their high value and scarcity. Therefore, renewable energy achieved through the mismanagement of natural resources is one of the most important aspects defining the energy crisis. Solar, wind, geothermal and recurring event energy are examples of assets. The cost of wind turbines is much higher compared to diesel generators. Moreover, regular maintenance costs often account for up to one-twentieth of the total cost of a rotary engine. However, accidental failure of certain elements such as blades, gearboxes, supports, brake systems can lead to high costs. Identifying parts of a system with human resources or intelligent systems helps to stop and reduce serious failures. Therefore, a completely different condition monitoring system has been applied to wind turbines, providing a great opportunity to develop a large space for analysis in the fields of structural turbine condition monitoring and field condition monitoring systems. Assessing the health of critical system components can help you become more aware of failed components and reduce maintenance time and costs. By using a completely different kind of sensor for the rotary engine components and using the right control and data acquisition systems, a complex condition monitoring system is provided.
小型风力机模型智能监测系统
化石燃料能源的高价值和稀缺性是其开发面临的最紧迫的挑战。因此,通过对自然资源管理不善而获得的可再生能源是定义能源危机的最重要方面之一。太阳能、风能、地热能和循环能源都是资产的例子。风力涡轮机的成本比柴油发电机高得多。此外,定期维护费用往往占到旋转发动机总成本的二十分之一。然而,某些部件如叶片、齿轮箱、支架、制动系统的意外故障可能导致高成本。用人力资源或智能系统识别系统的各个部分有助于阻止和减少严重故障。因此,一种完全不同的状态监测系统已经应用到风力发电机组中,为结构机状态监测和现场状态监测系统领域提供了很大的分析空间。评估关键系统组件的运行状况可以帮助您更好地了解故障组件,并减少维护时间和成本。通过对旋转发动机部件使用一种完全不同的传感器,并使用合适的控制和数据采集系统,提供了一个复杂的状态监测系统。
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