Determining the propagation path of a disturbance in multi-rate process and electromechanical systems. (April 2016)

• Record Type: Journal Article
• Authors: Cecílio, Inês M.; Ottewill, James R.; Thornhill, Nina F.
• Is Part Of: Control engineering practice. Volume 49(2016)
• Page Start: 187
• Page End: 193
• Publication Date: 2016-04
• Subjects: Fault diagnosis -- Root cause analysis -- Propagation -- Nonlinear time series analysis -- Multirate -- Chemical industry -- Machinery; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2015.12.003
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: This paper proposes a multi-rate method to identify the propagation path of a persistent disturbance in an enlarged system envelope which includes the process plant and its electromechanical equipment. The need to integrate process and equipment diagnosis has been highlighted by industrial commentators. However, process and electromechanical measurements often have different sampling rates. The multi-rate method proposed extends a state-of-the-art propagation path method so that it combines fast-sampled electromechanical measurements and slow-sampled process measurements. The method is based on non-linear mutual prediction, which yields the directionality in the relationship between two time series. The method was demonstrated and validated, giving the expected outcome in an experimental case study, in which the root cause and propagation path of the disturbance were known. Abstract : Highlights: Method identifies propagation path of persistent disturbance in multi-rate systems. Motivation is to monitor across electrical, mechanical and process systems. Non-linear mutual prediction gives the directionality between two time series. Method successfully tested on experimental case study.