Abstract

QUINONES GRUEIRO, Marcos; PRIETO-MORENO, Alberto  and  LLANES-SANTIAGO, Orestes. Monitoring of small magnitude faults in multimode industrial processes.. EAC [online]. 2015, vol.36, n.2, pp. 29-39. ISSN 1815-5928.

The monitoring of small magnitude faults is a specification that should be accomplished by data-driven fault diagnosis techniques in multimode industrial processes. This is a challenging problem because it is difficult to identify the data of each stable operation mode considering the presence the transitions between them and the noise of the measurements. A method for the identification of stable operation modes is proposed in this paper. This is based in a modification of the clustering algorithm known as k-medians and is named incremental k-medians. His main advantages are: is robust against the presence of transitions, outliers and noise in the dataset, it is not required to know the number of modes previously to parameterize it and it is not required to make multiple runs of it. The monitoring scheme is built upon the identified modes. The proposed strategy is tested using a continuous stirred tank heater (CSTH). Results obtained for a fault with different magnitude in each mode demonstrate the effectiveness of the proposal.

Keywords : multimode; industrial processes; fault detection; fault diagnosis; clustering.

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