Isolating the source of whole-plant oscillations through bi-amplitude ratio analysis

Abstract Derived from bi-spectral analysis, a new diagnostic index, the bi-amplitude ratio, is proposed as an aid to the isolation of the source of non-linearity-induced oscillations that can propagate through a process plant. This ratio relates the power pertaining to the fundamental, to the power pertaining to its third harmonic, and hence it can quantify harmonic attenuation or amplification as the oscillation propagates. An oscillatory source can then be isolated provided that low-pass filtering is inherent. The method is demonstrated on both simulated data and real industrial data.

[1]  Karl Johan Åström,et al.  Assessment of Achievable Performance of Simple Feedback Loops , 1988 .

[2]  G. K. Mcmillan.  Improve control valve response , 1995 .

[3]  Yang Xiang,et al.  Detection and classification of flaws in concrete structure using bispectra and neural networks , 2002 .

[4]  Tore Hägglund,et al.  Detection and Diagnosis of Oscillation in Control Loops , 1997 .

[5]  Krister Forsman,et al.  A new criterion for detecting oscillations in control loops , 1999, 1999 European Control Conference (ECC).

[6]  Melvin J. Hinich,et al.  A Test for Aliasing Using Bispectral Analysis , 1988 .

[7]  Tore Hägglund,et al.  A Control-Loop Performance Monitor , 1995 .

[8]  A qualitative shape analysis formalism for monitoring control loop performance , 2001 .

[9]  M A Sharif,et al.  Sensor-based performance monitoring of a control valve unit , 1999 .

[10]  T. King.  Quantifying nonlinearity and geometry in time series of climate , 1996 .

[11]  Nina F. Thornhill,et al.  DETECTION OF DISTRIBUTED OSCILLATIONS AND ROOT-CAUSE DIAGNOSIS , 2001 .

[12]  T. Hägglund.  A friction compensator for pneumatic control valves , 2002 .

[13]  David N. Spergel,et al.  Acoustic signatures in the primary microwave background bispectrum , 2000, astro-ph/0005036.

[14]  Chunming Xia,et al.  Isolating multiple sources of plant-wide oscillations via independent component analysis , 2003 .

[15]  Peter A. Cook,et al.  Nonlinear dynamical systems , 1986 .

[16]  Nina F. Thornhill,et al.  Diagnosis of poor control-loop performance using higher-order statistics , 2004, Autom..

[17]  John Howell,et al.  Isolating the root cause of propagated oscillations in process plants , 2005 .

[18]  John W. Cox,et al.  A practical approach for large-scale controller performance assessment, diagnosis, and improvement , 2003 .

[19]  Thomas F. Edgar,et al.  Process Dynamics and Control , 1989 .

[20]  Alexander Horch.  A simple method for detection of stiction in control valves , 1999 .

[21]  Weike Wang,et al.  Fault Identification in Rotating Machinery Using the Correlation Dimension and Bispectra , 2001 .

[22]  S. Joe Qin,et al.  Control performance monitoring — a review and assessment , 1998 .

[23]  T. Miao,et al.  Automatic detection of excessively oscillatory feedback control loops , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).