首页> 外文会议>South East Asia Technical Training Conference on Electronics Assembly Technologies >SURFACE MOUNTED OLEO-SENSOR ON SYSTEM BOARDS FOR EARLY DETECTION OF BURNING OR OVER HEATED CHIPS
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SURFACE MOUNTED OLEO-SENSOR ON SYSTEM BOARDS FOR EARLY DETECTION OF BURNING OR OVER HEATED CHIPS

机译:系统板上的表面安装的油传感器,用于早期检测燃烧或加热芯片

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Changing defective system boards and mother boards on critical functional machines and computers is a costly process. It means delay on production time when in manufacturing or delay on software release on critical software development team when their most trusted and reliable hardware break down because of just one faulty burnt chip. When incidence like this happens, there is a series of events that will follow, a domino effect that is. This can hurt the whole team and the company in general not just loss in time, but also loss in productivity, loss in profit and worst, clients and customers loss. There is no way that the technicians and engineers can detect this hazard in such a minute and a small scale environment like the system boards in our computers, servers, and production machines. There is no sophisticated way to detect in advance such failure but to manually investigate the system itself. This paper aims to present the feasibility of a system and method that will automatically and intelligently detect in advance scenarios like a burning chip or overheated chip inside the system board using a systematically designed Oleo-sensor system that is by itself mounted in the surface of the system board. The underlying Oleo-sensor system is theoretically designed to used smart materials like Carbon-Nano Fiber as receptor.
机译:在关键功能机器和计算机上改变有缺陷的系统板和母板是一个昂贵的过程。它意味着在最关键的软件开发团队的制造或延迟软件发布时延迟生产时间,因为他们最受信任和可靠的硬件突破,因为只有一个有错误的烧芯。当发生这样的发生时,存在一系列会遵循的一系列事件,这是一个多米诺骨牌效果。这可能会伤害整个团队和公司一般不仅仅是及时损失,还损失了生产力,损失和最差,客户和客户损失。技术人员和工程师无法在这样的一分钟内检测这种危险,以及我们的计算机,服务器和生产机器中的系统板等小规模环境。预先检测此类故障,没有复杂的方法,但是手动调查系统本身。本文旨在提出系统和方法的可行性,这些方法和方法将在系统板内的燃烧芯片或过热的芯片中自动和智能地检测,使用系统设计的Ole-Sensor系统本身安装在表面的表面上主机板。理论上是底层的油传感器系统,设计用于使用碳纳米纤维等碳纤维作为受体的智能材料。

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