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| 转子故障贝叶斯诊断网络的研究 | |
| 引用本文： | 徐宾刚,屈梁生,陶肖明.转子故障贝叶斯诊断网络的研究[J].机械工程学报,2004,40(1):66-72. |
| 作者姓名： | 徐宾刚 屈梁生 陶肖明 |
| 作者单位： | 1. 香港理工大学纺织及制衣学系,香港 2. 西安交通大学 3. 香港理工大学 |
| 摘 要： | 将贝叶斯网络技术引入到转子故障诊断领域,旨在提高故障诊断中不确定信息的处理能力和推理质量;提出了用于转子故障诊断的一般网络框架,使诊断故障时既考虑了实际的运行工况,又考虑了现场的故障征兆,这符合专家的诊断思路;转子同频故障网络算例验证了其良好的识别效果。 |
| 关 键 词： | 转子 故障诊断 贝叶斯网络 |
| 修稿时间： | 2003年5月7日 |
BAYESIAN NETWORK FRAMEWORK FOR ROTOR FAULT DIAGNOSIS |
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| Xu Bingang.BAYESIAN NETWORK FRAMEWORK FOR ROTOR FAULT DIAGNOSIS[J].Chinese Journal of Mechanical Engineering,2004,40(1):66-72. | |
| Authors: | Xu Bingang |
| Affiliation: | Xu Bingang (The Hong Kong Polytechnic University) Qu Liangsheng (Xi'an Jiaotong University) Tao Xiaoming (The Hong Kong Polytechnic University) |
| Abstract: | Beyasian network (BN) is applied to the field of rotor fault diagnosis for increasing the ability to handle uncertainty and inference quality. A general framework of BN for rotor fault diagnosis is proposed, which concerns more information both from the machine performance layer and the symptom layer. The network accords with the general diagnosis thinking of experts. The rotor synchronous fault diagnosis examples demonstrate its good recognition results. |
| Keywords: | Rotor Fault diagnosis Bayesian network |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |