Fault detection and pathway analysis using a dynamic Bayesian network

Author:

Amin Md. Tanjin,Khan FaisalORCID,Imtiaz SyedORCID

Funder

NSERC

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference41 articles.

1. Process system fault detection and diagnosis using a hybrid technique;Amin;Chem. Eng. Sci.,2018

2. Dynamic availability assessment of safety critical systems using a dynamic Bayesian network;Amin;Reliab. Eng. Syst. Saf.,2018

3. Amin, M.T., Imtiaz, S., Khan, F., 2017. Process Fault Detection and Root Cause Diagnosis Using a Hybrid Technique. In: Fifth International Conference on Chemical Engineering (ICChE 2017). pp. 461–489. doi:http://icche-buet.com/index.php/icche/icche2017/paper/viewFile/104/68.

4. Application of Bayesian belief networks to fault detection and diagnosis of industrial processes;Azhdari,2010

5. Multiscale PCA with application to multivariate statistical process monitoring;Bakshi;AIChE J.,1998

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