| 基于AR模型和K-L信息量的柴油机气阀机构故障诊断 |
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| 引用本文： | 张继传,李艾华.基于AR模型和K-L信息量的柴油机气阀机构故障诊断[J].小型内燃机与摩托车,2008,37(1):34-37. |
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| 作者姓名： | 张继传 李艾华 |
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| 作者单位： | 1. 第二炮兵工程学院研究生一队,陕西西安,710025;第二炮兵96630部队
2. 第二炮兵工程学院研究生一队,陕西西安,710025 |
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| 摘 要： | 通过模拟气阀机构的两种常见故障:气阀漏气和气阀间隙异常,采集柴油机缸盖表面的振动信号.提出了柴油机气阀机构的状态监测及故障诊断策略,采用FPE准则和Burg算法建立不同状态时振动信号的AR模型,利用K-L信息量对不同工作状态进行了有效识别.诊断结果表明该方法是可行的,便于实现柴油机气阀机构故障的在线实时监测与诊断.
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| 关 键 词： | 柴油机 气阀机构 故障诊断 状态监测 AR模型 K-L信息量 模型 信息量 柴油机 气阀机构 故障诊断 Distance Information Models Based Diesel Engine Valve Train Diagnosis 监测与诊断 在线实时 机构故障 方法 诊断结果 识别 工作状态 利用 |
| 文章编号： | 1671-0630（2008）01-0034-04 |
| 收稿时间： | 2006-11-09 |
| 修稿时间： | 2006年11月9日 |
Fault Diagnosis of Valve Train of Diesel Engine Based on AR Models and KullbackLeiber Information Distance |
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| Zhang Jichuan,Li Aihua.Fault Diagnosis of Valve Train of Diesel Engine Based on AR Models and KullbackLeiber Information Distance[J].Small Internal Combustion Engine and Motorcycle,2008,37(1):34-37. |
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| Authors: | Zhang Jichuan Li Aihua |
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| Abstract: | By simulating the two main faults of valve train, namely gas leak and abnormal lash, the vibration signals of cylinder head of diesel engine have been measured. The method of condition monitoring and fault diagnosis on diesel valve train is presented, AR models of vibration signals in different status are found based on FPE principle and Burg arithmetic. At last, different statuses of valve train are identified by Kullback-Leiber information distance. The results show that the method is feasible and effective to achieving the on-line motoring and diagnosis of valve train faults. |
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| Keywords: | Diesel engine Valve train Fault diagnosis Condition monitoring AR model Kullback-Leiber information distance |
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