Preventive maintenance strategy for master fuel trip in thermal power plants

FU Yali; BAI Yan

English

您当前的位置：

首页 >

文章列表页 >

Preventive maintenance strategy for master fuel trip in thermal power plants

Thermal Power Generation Vol. 44, Issue 3, Pages: 115-118(2015)

更新时间：2025-09-28

- Preventive maintenance strategy for master fuel trip in thermal power plants
- 作者机构：
  
  华北电力大学控制与计算机工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK228
- Published：2015
- 稿件说明：
移动端阅览
FU Yali, BAI Yan. Preventive maintenance strategy for master fuel trip in thermal power plants[J]. Thermal Power Generation, 2015, 44(3): 115-118.
DOI：

FU Yali, BAI Yan. Preventive maintenance strategy for master fuel trip in thermal power plants[J]. Thermal Power Generation, 2015, 44(3): 115-118. DOI：

摘要

火电厂锅炉总燃料跳闸(MFT)是实现锅炉保护功能的安全仪表系统

为了确保安全功能的正常运行

对其进行了预防性维修策略的研究。结合火电厂实际运行工况

以MFT的炉膛压力保护系统为研究对象

建立了马尔科夫模型;应用可靠性和安全性理论

以可用率和可靠性最高、维修费用最低为目标

实施多目标优化策略;在规程规定时间范围内

优化预防性维修间隔。

Abstract

Main fuel trip( MFT) in thermal power plants is a safety instrumented system which can achieve tripping protection for boilers. In order to ensure normal operation of the safety function

preventive maintenance strategy research was carried out. On the basis of the actual operation

the Markov model for furnace pressure protection function of the MFT was established. The reliability and security theory were applied to perform multi-objective optimization strategy

by taking the highest availability and reliability

and lowest maintenance cost as the goals. Moreover

the preventive maintenance intervals were optimized within the time range the regulations ruled.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

BRIEF DESCRIPTION OF THE NEGATIVE PRESSURE CONTROL SYSTEM FOR BOILERS IN SECONDPHASE PROJECT OF HUANENG FUZHOU POWER PLANT

OPTIMIZATION OF PID CONTROLLER PARAMETERS FOR MAIN STEAM TEMPERATURE BASED ON MULTI-OBJECTIVE GENETIC ALGORITHM AND MULTI-ATTRIBUTE DECISION MAKING

OPTIMIZATION OF THE CONTROL SYSTEM FOR CFB BOILER OF 330MW UNIT

RESEARCH AND APPLICATION OF DISTRIBUTED PREDICTIVE CONTROL IN BOILER COMBUSTION PROCESS

Quantitative analysis and multi-objective optimization of Brayton cycle based on artificial neural network method

Related Author

陈剑锋

王震皓

LI Xue-bin Wuhan 2nd Ship Design and Research Institute

ZHANG Zhenwei1

SANG Yongfu1

SONG Jiye2 1.Xi'an Thermal Power Research Institute Co Ltd

CHEN Tiejun

YANG Yang

Related Institution

Huaneng Fuzhou Power Plant

Huaneng Fuzhou Power Plant Fujian Changle

Fujian Changle

Wuhan Second Ship Design and Research Institute

Xi'an Thermal Power Research Institute Co., Ltd

AI问答

⁰