| 基于模糊神经网络的热电联产故障诊断研究 |
| |
| 引用本文： | 蒋文胜.基于模糊神经网络的热电联产故障诊断研究[J].柳州师专学报,2013(4):147-151. |
| |
| 作者姓名： | 蒋文胜 |
| |
| 作者单位： | 柳州职业技术学院,广西柳州545006 |
| |
| 基金项目： | 2013年广西教育厅科研项目：“制冷设备状态监测与故障诊断系统设计”（2013YB354）. |
| |
| 摘 要： | 为了在缺少设计参数的条件下,设计一个非线性模型的热电联产故障诊断系统,提出了一种基于模糊神经网络的设计方法。通过分析热电联产控制系统各工作模块的工作过程,建立废热回收蒸汽锅炉、蒸汽集箱、汽吸收式冷凝器等模块工作模型。并采用粒子群优化算法对提出的模糊神经网络进行优化,假设模型和测量误差正常分布且相互独立,对模型置信区间进行了计算。实验测试表明,本文设计的故障检测具有较高的可信度。
|
| 关 键 词： | 热电联产 控制系统 模糊神经网络 非线性 故障诊断 |
Research on Cogeneration Fault Diagnosis Based on Fuzzy Neural Network |
| |
| JIANG Wensheng.Research on Cogeneration Fault Diagnosis Based on Fuzzy Neural Network[J].Journal of Liuzhou Teachers College,2013(4):147-151. |
| |
| Authors: | JIANG Wensheng |
| |
| Institution: | JIANG Wensheng (Liuzhou Vocational and Technical college, Liuzhou, Guangxi, 545006 China) |
| |
| Abstract: | In order to design a nonlinear model of cogeneration fault diagnosis system under the conditions of the lack of design param- eters, this paper proposes a design based on fuzzy neural network. By analyzing the work process of cogeneration control system module, it establishes a working model of waste heat recovery steam boiler, steam header, vapor absorption condenser modules. It used particle swarm optimization algorithm to optimize the fuzzy neural network, and calculates the model confidence intervals under the assumption that the model and measurement error are normally distributed and mutually independent. Experimental tests show that this fault detection de- sign has high credibility. |
| |
| Keywords: | cogeneration control system fuzzy neural network nonlinear fault diagnosis |
| 本文献已被 维普 等数据库收录！ |
|
