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基于故障预警系统的燃煤发电设备状态检修
引用本文:杨勤,张震伟,杨茉,董宇鸣,张洪胜. 基于故障预警系统的燃煤发电设备状态检修[J]. 中国电力, 2019, 52(3): 109-114. DOI: 10.11930/j.issn.1004-9649.201808103
作者姓名:杨勤  张震伟  杨茉  董宇鸣  张洪胜
作者单位:1. 上海理工大学, 上海 200093;2. 浙能长兴发电有限公司, 浙江 长兴 313100;3. 浙能技术研究院有限公司, 浙江 杭州 311121
摘    要:基于故障预警系统的状态检修是随状态监测技术发展起来的至今最先进的检修方式。20世纪90年代中国开始推行发电设备状态检修,成效明显者寥寥。为切实推行发电设备状态检修方式,某发电集团从2008年开始引进、开发并推广应用了利用相似性原理建模技术的发电设备故障预警系统。介绍了该系统的机理,并用汽轮机、锅炉、电气和化学专业各1个预警案例阐述故障预警系统在燃煤发电设备状态检修中的有效应用情况,最后就如何将两者更好地结合提出了建议。

关 键 词:发电设备  状态检修  故障预警  
收稿时间:2018-08-20
修稿时间:2018-09-12

Conditional Maintenance of Coal-Fired Power Generation Equipment Based on Early Fault Warning System
YANG Qin,ZHANG Zhenwei,YANG Mo,DONG Yuming,ZHANG Hongsheng. Conditional Maintenance of Coal-Fired Power Generation Equipment Based on Early Fault Warning System[J]. Electric Power, 2019, 52(3): 109-114. DOI: 10.11930/j.issn.1004-9649.201808103
Authors:YANG Qin  ZHANG Zhenwei  YANG Mo  DONG Yuming  ZHANG Hongsheng
Affiliation:1. University of Shanghai for Science and Technology, Shanghai 200093, China;2. Zhejiang Zheneng Changxing Electric Power Generation Co., Ltd., Changxing 313100, China;3. Zhejiang Energy Group R & D Co., Ltd., Hangzhou 311121, China
Abstract:The state-based maintenance is by far the most advanced maintenance mode with the development of condition monitoring technology. Since the 1990s, the state-based maintenance of power generation equipment has been implemented in China, but with very few remarkably successful cases. In order to practically implement the state-based maintenance of power generation equipment, a power generation group has introduced, developed and popularized an early fault warning system based on similarity modeling technology for the power generation equipment since 2008. This paper introduces the mechanism of the system, and illustrates how the early fault warning system was effectively applied in the state-based maintenance of coal-fired power generation equipment with the case studies in steam turbine, boiler, electrical elements and chemical elements, respectively. At last, some suggestions are put forward on how to integrate them in a better way.
Keywords:power generation equipment  the state-based maintenance  fault early warning  
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