| 1. | Simulation tests of common boiler fault are carried out by using fault diagnosis and fault prediction software , which is programmed with visual c + +
还用本文编制( visualc + +语言)的锅炉故障诊断与预测软件，对锅炉常见故障进行仿真实验。 |
| 2. | In a word it has such a capability of simulating the speculation of human expert to a certain degree that it can diagnose the faults for boiler accurately and timely
该诊断系统能较好地模拟人类专家的逻辑思维和形象思维能力，能对锅炉故障进行较为准确及时的诊断。 |
| 3. | The software of diagnosis and prediction for boiler fault is developed by using fuzzy modular networks and recurrent composed networks , and the method of mixed knowledge representation and expert system technology etc are used in this paper
本文应用模糊模块化神经网络和递推合成bp网络，并结合混合型知识表示和知识获取方法、基于知识的专家系统等技术对锅炉故障诊断与预测问题进行了研究，开发了锅炉故障诊断与预测软件。 |
| 4. | The new samples and the knowledge database of fault diagnosis and fault prediction are added in the process of software development . knowledge acquirement module 、 diagnosis module 、 prediction module and interpretation module are established at the same time
在该软件的开发研究过程中，收集了锅炉故障诊断与预测样本，增加了锅炉故障预测知识，拓展了原有的锅炉故障诊断知识库，建立了知识获取模块、故障诊断与预测模块、故障解释模块等。 |
| 5. | Also , the experiments show that when the hme , which is a mixture of the fuzzy network and the expert system based on knowledge , is used to diagnose the fault of the boiler , some points can be attained : both symbol reasoning and nerve network reasoning can be combined very well
同时，实验结果还表明将模糊网络技术与基于知识的专家系统技术结合的分层混合专家网络应用于锅炉故障诊断，能实现符号推理与神经网络推理的有机结合，层次清晰、推理效率较高。 |
| 6. | The simulation tests result indicates that the speed and precision of sample training are increased because of sample clustering for fuzzy modular networks . and the problem of slow training speed and local minimum point are avoided when bp networks are applied in the fault diagnosis of complex boiler
本文所建的用于锅炉故障诊断的模糊模块化神经网络模型因进行了样本聚类，实验结果表明：其网络训练的速度和精度明显提高，同时有效地解决了bp网络应用于复杂的锅炉系统故障诊断时，存在训练收敛慢并容易陷入局部最小点的问题。 |
| 7. | In connection with the diagnoses problem of 670t / h boiler for chongqing power plant , the hierarchical mixture expert ( hme ) network is developed in this paper . the hme module is employed and the new samples are added and the database for fault diagnosis , fault treatment and interpretation subsystem are broadened to further develop the diagnosis system
本文针对重庆发电厂670t / h锅炉故障诊断问题，在原有的研究基础上采用分层混合专家网络，对其故障诊断系统做了进一步的开发研究工作，增添了分层模糊神经网络模块与新样本，拓展了锅炉故障诊断数据库及故障诊断处理和解释子系统。 |
| 8. | It is used to provide reference to operator of power plant . in recurrent composed bp networks , the relation of interior node is enhanced because the link weight of input layer and output layer are added , and the saturation of fault prediction is avoided by using the linear prompting function
本文所建的用于锅炉故障预测的递推合成bp网络由于bp网络各层之间及输入层与输出层之间的连接权的增加和线性激励函数的采用，极大地加强了内部节点的关联能力，避免了bp网络预测的饱和性的出现。 |
| 9. | The comparison of three models ( single variable time series model 、 multivariable time series model and gray prediction model ) shows that the multivariable time series model ' s prediction precision is the highest . it indicates that using recurrent composed bp networks can exactly predict the boiler fault in order to prevent the fault , and help operator of power plant to adjust the parameters in a permitting range
通过基于递推合成bp网络的单、多变量时间序列模型与灰色预测模型的预测精度分析计算表明，应用基于递推合成bp网络的多变量时间序列模型能较准确的预测锅炉故障，指导运行人员对机组进行即时调整，使预期的参数在允许范围内，以避免故障的发生。 |
