Author:
Tong Chu-dong,Yan Xue-feng,Ma Yu-xin
Publisher
Zhejiang University Press
Reference32 articles.
1. Alcala, C.F., Qin, S.J., 2010. Reconstruction-based contribution for process monitoring with kernel principal component analysis. Industrial amp; Engineering Chemistry Research, 49(17):7849-7857. [doi:10.1021/ie9018947]
2. Chen, X.Y., Yan, X.F., 2012. Using improved self-organizing map for fault diagnosis in chemical industry process. Chemical Engineering Research amp; Design, in press. [doi:10.1016/j.cherd.2012.06.004]
3. Chiang, L.H., Russel, E.L., Braatz, R.D., 2001. Fault Detection and Diagnosis in Industrial Systems. Springer, London.
4. Detroja, K.P., Gudi, R.D., Patwardhan, S.C., 2007. Plantwide detection and diagnosis using correspondence analysis. Control Engineering Practice, 15(12):1468-1483. [doi:10.1016/j.conengprac.2007.02.007]
5. Dunia, R., Qin, S.J., 1998. Joint diagnosis of process and sensor faults using principal component analysis. Control Engineering Practice, 6(4):457-469. [doi:10.1016/S0967-0661(98)00027-6]
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献