首页> 外文会议>ASME turbo expo >DEVELOPMENT AND F-CLASS INDUSTRIAL GAS TURBINE ENGINE TESTING OF SMART COMPONENTS WITH DIRECT WRITE EMBEDDED SENSORS AND HIGH TEMPERATURE WIRELESS TELEMETRY
【24h】

DEVELOPMENT AND F-CLASS INDUSTRIAL GAS TURBINE ENGINE TESTING OF SMART COMPONENTS WITH DIRECT WRITE EMBEDDED SENSORS AND HIGH TEMPERATURE WIRELESS TELEMETRY

机译:直接写入嵌入式传感器和高温无线遥测智能组件的开发和F级工业燃气轮机发动机测试

获取原文

摘要

The potential for savings provided to worldwide operators of industrial gas turbines, by transitioning from the current standard of interval-based maintenance to condition-based maintenance may be in the tens of millions of dollars per year. Knowledge of the historical and current condition of life-limiting components will enable more efficient use of industrial gas turbine resources via increased operational flexibility, with less risk of unplanned outages as a result of off-parameter operations. To date, it has been impossible to apply true condition-based maintenance to industrial gas turbines because the extremely harsh operating conditions in the heart of a gas turbine preclude using the necessary advanced sensor systems to monitor the machine's condition continuously. The U.S. Department of Commerce's National Institute of Standards and Technology - Advanced Technology Program (NIST-ATP)awarded the Joint Venture team of Siemens Power Generation, Inc. and MesoScribe Technologies, Inc. a four-year, $5.4 million program in November, 2004, titled Conformal, Direct-Write-Technology-Enabled, Wireless, Smart Turbine Components. The target was to develop a potentially industry-changing technology to build smart, self-aware engine components that incorporate embedded, harsh-environment-capable sensors and high temperature capable wireless telemetry systems for continuously monitoring component condition in both the compressor and turbine sections. The approach involves several difficult engineering challenges, including the need to embed sensors on complex shapes, such as turbine blades, embedding wireless telemetry systems in regions with temperatures that preclude the use of conventional silicon-based electronics, protecting both sensors and wireless devices from the extreme temperatures and environments of an operating gas turbine, and successfully transmitting the sensorinformation from an environment very hostile to wireless signals. The program included full-scale, F-class industrial gas turbine engine test demonstrations with smart components in both the compressor and turbine sections. The results of the development program and engine testing to date will be discussed.
机译:通过从当前的基于间隔的维护标准过渡到基于状态的维护,可为全球工业燃气轮机运营商节省的资金可能每年达数千万美元。通过了解使用寿命限制组件的历史和当前状况,可以通过提高操作灵活性来更有效地利用工业燃气轮机资源,从而减少因参数外运行而导致计划外停机的风险。迄今为止,不可能对工业燃气轮机进行真正的基于状态的维护,因为在燃气轮机的心脏中极为苛刻的运行条件无法使用必要的先进传感器系统来连续监控机器的状态。美国商务部国家标准与技术研究院-先进技术计划(NIST-ATP) 于2004年11月授予西门子发电公司和MesoScribe Technologies,Inc.的合资团队一项为期四年,耗资540万美元的计划,该计划的标题为共形,直接写技术,无线,智能涡轮组件。目标是开发一种潜在的行业变化技术,以构建智能的,具有自我意识的发动机组件,该组件将嵌入式,具有恶劣环境的传感器与具有高温功能的无线遥测系统相结合,以连续监控压缩机和涡轮机部分的组件状况。这种方法面临一些艰巨的工程挑战,包括需要将传感器嵌入复杂的形状(例如涡轮机叶片),将无线遥测系统嵌入温度不允许使用常规基于硅的电子设备的区域,保护传感器和无线设备不受温度的影响。运行中的燃气轮机的极端温度和环境,并成功传输传感器 来自对无线信号非常不利的环境的信息。该计划包括全面的F级工业燃气轮机发动机测试演示,在压缩机和涡轮机部分均采用了智能组件。到目前为止,将讨论开发程序和引擎测试的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号