A modified empirical mode decomposition (EMD) process for oscillation characterization in control loops

Sensitivity analysis for selective constraint and variability tuning in performance assessment of industrial MPC

“…Actually, in industries, MPC technology products have been developed by several venders and implemented to many industrial process units (Kassmann, Badgwell, & Hawkins, 2000;Krishnan, Kosanovich, DeWitt, & Creech, 1998;Sorensen & Cutler, 1998); see the recent industrial MPC survey paper (Qin & Badgwell, 2003). On the other hand, it is noted that less effort has been made on the performance assessment of existing constrained MPC applications, while the performance assessment of conventional unconstrained controllers has been well studied such as in Harris (1989), Harris, Boudreau, and Macgregor (1996), Huang, Shah, and Kwok (1997), Huang and Shah (1999), Xu, Lee, and Huang (2006), Choudhury, Shah, Thornhill, and Shook (2006), Jelali (2006), Salsbury (2007), Srinivasan, Rengaswamy, and Miller (2007) and Bauer and Craig (2008).…”

An improvement EMD method based on the optimized rational Hermite interpolation approach and its application to gear fault diagnosis

“…Because the decomposition is according to the inherent characteristics of the signal, EMD is a self-adaptive signal processing method, which especially suits for the non-stationary and non-linear signals. Due to the adaptive analysis and high robustness nature, EMD has been applied across a wide range of research areas, such as automatic control [6], medicine and biology [7], and nonlinear system identification [8]. However, the major problem of EMD method is to fit the local extrema of the signal with the cubic spline interpolation.…”

Multiple oscillations detection in control loops by using the DFT and Raleigh distribution ★ ★This work was supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada; the National Natural Science Foundation of China [61174161, 61304141, 61375077]; the specialized Research Fund for the Doctoral Program of Higher Education of China [20130121130004]; and the Fundamental Research Funds for the Central Universities in China [201212G005].

“…After applying the ACF, the regularity of zero crossings is needed to determine the oscillation. In Srinivasan et al (2007), a method is proposed to detect zero crossing in the presence of noise using modified empirical mode decomposition (EMD). In Srinivasan and Rengaswamy (2012), an oscillation detection technology by combining EMD and ACF is proposed.…”