一种基于时段的水压试验机故障诊断方法  

Stage-based Recursive MFDA Strategy for Fault Diagnosis on Hydrostatic Tube Tester

作　　者：王姝[1] 胡学发[1] 何大阔[1] 王福利[1] 

机构地区：[1]东北大学流程工业综合自动化教育部重点实验室,辽宁沈阳110004

出　　处：《东北大学学报（自然科学版）》2009年第5期621-624,共4页Journal of Northeastern University(Natural Science)

基　　金：国家重点基础研究发展计划项目(2002CB312200);国家自然科学基金资助项目(60774068)

摘　　要：由于水压试验机机理建模的复杂性,很难从机理方面对其生产过程进行故障诊断,基于多向Fisher判别分析的故障诊断方法同时利用正常工况和故障条件下的数据建模,具有很强的诊断能力.为了解决应用此类方法遇到的不等长周期问题,根据水压试验过程的数据特性提出了子时段首部数据等长法将所有批次调整成平均长度.在此基础上对每个子时段分别建立MFDA模型,并结合递推思想将三个时段的诊断结果密切结合以提高诊断精度.采用水压试验机实际生产过程的4个锁阀故障数据对该方法进行测试,结果验证了该方法的有效性.Because of the complexity of process modeling on a hydraulic tube tester, it is difficult to diagnose the process fault in view of its mechanism. On the other hand, the fault diagnosis based on MFDA （multiway Fisher discriminant analysis） has high diagnostic capability because it takes advantage of both normal and fault data in modeling. To solve the problem of uneven-length batches, a stage-based header-even method is proposed according to the characteristics of data sampled from hydrostatic testing process, thus adjusting all the batches to become average length. Then, different MFDA models are developed for every sub-stage that was divided in testing process. Combining with the recursive method, the diagnosis results of three stages are intergrated together to improve the diagnostic precision. The effectiveness of the proposed method is tested and verified by applying it to the fault data of four shuttle valves.

关 键 词：水压试验机 故障诊断 FISHER判别分析 子时段 不等长周期 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]