Research on condition based maintenance decision model and design of the system for gas turbine

WAN Anping; GU Xinjian; CHEN Jianhong; SHENG Deren; WU Zhongfei

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Research on condition based maintenance decision model and design of the system for gas turbine

更新时间：2025-09-28

- Research on condition based maintenance decision model and design of the system for gas turbine
- Thermal Power Generation Vol. 45, Issue 12, Pages: 56-61(2016)
- 作者机构：
  
  1. 浙江大学浙江省先进制造技术重点研究实验室
  2. 浙江大学热工与动力系统研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK478
- Published：2016
- 稿件说明：
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WAN Anping, GU Xinjian, CHEN Jianhong, et al. Research on condition based maintenance decision model and design of the system for gas turbine[J]. Thermal power generation, 2016, 45(12): 56-61.
DOI：

WAN Anping, GU Xinjian, CHEN Jianhong, et al. Research on condition based maintenance decision model and design of the system for gas turbine[J]. Thermal power generation, 2016, 45(12): 56-61. DOI：

摘要

为了降低燃气轮机维修成本

本文介绍了燃气轮机相关部件寿命预测计算方法

提出了维修决策关键参数

并在此基础上建立了重型燃气轮机状态维修决策模型;设计了维修决策系统的后台计算服务器端和WEB服务器端的结构和实现框架;基于B/S架构模式

设计并开发了燃气轮机关键部件的状态维修决策系统。实际应用结果表明

该系统可为燃气轮机的状态维修提供更经济有效的决策

且系统运行稳定。

Abstract

Currently

the maintenance technology of gas turbine is monopolized by foreign companies

and the life cycle maintenance cost of power generation equipments is very expensive(17.8times of the purchase cost).To reduce the maintenance cost for gas turbine

this paper designed a novel gas turbine maintenance decision system and introduced a calculation method for predicting the life cycle of relevant parts of the gas turbine.Moreover

the maintenance decision-making key parameters were proposed.On this basis

the heavy-duty gas turbine maintenance decision-making model was established.Then

the structure and implementation framework of background calculation server and WEB server of the maintenance decisionmaking system was designed.Finally

based on B/S structure model

the preventative maintenance decision system for gas turbine was developed.The field application verified this system can provide more efficient decision for the gas turbine's maintenance decision

and the system operated stably.

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