Literature Review
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-71871-2_2
Reference155 articles.
1. Isermann, R., & Ball, P. (1997). Trends in the application of model-based fault detection and diagnosis of technical processes. Control Engineering Practice, 5, 709–719.
2. Aishe, S., Weimin, C., Peng, Z., Shunren, H., & Xiaowei, H. (2009). Review of fault diagnosis in control systems. In Control and Decision Conference, CCDC ’09 (pp. 5324–5329). Chinese.
3. Patton, R. J., Uppal, F. J., & Lopez-Toribio, C. J. (2000). Soft computing approaches to fault diagnosis for dynamic systems-A survey. In Proceedings of IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (pp. 303–315), Budapet, Hungary
4. Isermann, R. (1984). Process fault detection based on modeling and estimation methods-A survey. Automatica, 20, 387–404.
5. Venkatasubramanian, V., Rengaswamy, R., Yin, K., & Kavuri, S. N. (2003a). A review of process fault detection and diagnosis: Part I: Quantitative model-based methods. Computers and Chemical Engineering, 27, 293–311.
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