Canonical Variate Analysis for Performance Degradation under Faulty Conditions
Ruiz-Carcel, C, Lao, L, Cao, Y and Mba, D (2016). Canonical Variate Analysis for Performance Degradation under Faulty Conditions. Control Engineering Practice. 54, pp. 70-80.
|Authors||Ruiz-Carcel, C, Lao, L, Cao, Y and Mba, D|
Condition monitoring of industrial processes can minimize maintenance and operating costs while increasing the process safety and enhancing the quality of the product. In order to achieve these goals it is necessary not only to detect and diagnose process faults, but also to react to them by scheduling the maintenance and production according to the condition of the process. The objective of this investigation is to test the capabilities of canonical variate analysis (CVA) to estimate performance degradation and predict the behaviour of a system affected by faults. Process data was acquired from a large-scale experimental multiphase flow facility operated under changing operational conditions where process faults were seeded. The results suggest that CVA can be used effectively to evaluate how faults affect the process variables in comparison to normal operation. The method also predicted future process behaviour after the appearance of faults, modelling the system using data collected during the early stages of degradation.
|Journal||Control Engineering Practice|
|Journal citation||54, pp. 70-80|
|Digital Object Identifier (DOI)||doi:10.1016/j.conengprac.2016.05.018|
|01 Jun 2016|
|Publication process dates|
|Deposited||13 Feb 2017|
|Accepted||23 May 2016|
|Accepted author manuscript|
CC BY-NC-ND 4.0
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