| 一类设备故障过程的故障趋势预测方法研究 | |
| 李钢 ; 周东华 ; LI Gang ; ZHOU Dong-hua | |
| 2010-06-09 ; 2010-06-09 | |
| 关键词 | 故障过程 趋势预测 非平稳ARMA过程 强跟踪滤波 fault process trend prediction non-stationary ARMA process STF TP18 |
| 其他题名 | Study on a Fault Trend Prediction Method for a Class of Device Fault Processes |
| 中文摘要 | 研究了一类带有指数故障过程的故障趋势预测问题。在测量变量受到平稳噪声干扰的情况下,首先依据对测量数据的统计检验判断出故障过程,然后根据对故障过程的先验知识,利用强跟踪滤波器辨识指数趋势项的参数,同时对建模误差进行ARMA时序分析,最后结合趋势项和时序预测给出故障趋势的总体预测。仿真实验结果验证了该方法的有效性。; A fault trend prediction problem for a class of exponential fault process is studied.Under the condition that the measure variable is disturbed by a stationary noise,the fault process is detected by statistical analysis of the measurement firstly.According to the model assumption,the parameters of the fault trend process can be obtained by using STF(strong tracing filter).After the extraction of trend component,the modeling error series becomes a stationary series,which can be used for normal ARMA time series analysis.Finally,the whole prediction can be acquired by combining trend prediction and time series analysis.Computer simulations validate the effectiveness of the proposed method.; 国家自然科学基金资助项目(60574084) |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/57349]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 李钢,周东华,LI Gang,等. 一类设备故障过程的故障趋势预测方法研究[J],2010, 2010. |
| APA | 李钢,周东华,LI Gang,&ZHOU Dong-hua.(2010).一类设备故障过程的故障趋势预测方法研究.. |
| MLA | 李钢,et al."一类设备故障过程的故障趋势预测方法研究".(2010). |
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