Kalman Filter based leak localization applied to pneumatic systems

An approach for a leak detection and localization scheme is presented. With respect to developing methods for diagnosis in commercial vehicles, applicability of existing approaches for leak diagnosis in pipelines has been evaluated. A leakage localization strategy using an Extended Kalman Filter (EKF) in combination with the Method of Characteristics (MOC) is adapted to pneumatic systems and implemented in Matlab/Simulink. To deal with boundary limitations due to possible sections for leak localization along the pipe, a methodical extension based on the idea of virtual pipes is proposed and integrated into the overall method. Verifications, resulting from a simulation model as well as from measurements at a real test bench, are presented. The promising results are discussed and suggestions for possible steps of further development are given.

[1]  Feng Jian,et al.  Oil pipeline leak detection and location using double sensors pressure gradient method , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[2]  E. Benjamin Wylie,et al.  Fluid Transients in Systems , 1993 .

[3]  Chyr Pyng Liou.  Pipeline Leak Detection Based on Mass Balance , 1993 .

[4]  P. A. Thompson,et al.  Compressible Fluid Dynamics , 1972 .

[5]  Silvio Simani,et al.  Model-Based Fault Diagnosis Techniques , 2003 .

[6]  Paul C. Du Chateau,et al.  Applied Partial Differential Equations , 1990, The Mathematical Gazette.

[7]  Drago Matko,et al.  Leak Detection And Locating - A Survey , 2003 .

[8]  Rolf Isermann,et al.  Fault-Diagnosis Applications , 2011 .

[9]  Paul M. Frank,et al.  Issues of Fault Diagnosis for Dynamic Systems , 2010, Springer London.

[10]  Paul M. Frank,et al.  Model-Based Fault Diagnosis , 1992, Concise Encyclopedia of Modelling & Simulation.

[11]  Ronald J. Patton,et al.  Fault diagnosis of an electro-pneumatic valve actuator using neural networks with fuzzy capabilities , 2002, ESANN.

[12]  Imin Kao,et al.  Analytical fault detection and diagnosis (FDD) for pneumatic systems in robotics and manufacturing automation , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Chunlong Ma,et al.  Negative pressure wave-flow testing gas pipeline leak based on wavelet transform , 2010, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.

[14]  W. Marsden.  I and J , 2012 .

[15]  Adrián Navarro,et al.  Comparison of two Detection Algorithms for Pipeline Leaks , 2007, 2007 IEEE International Conference on Control Applications.

[16]  A. Y. Allidina,et al.  Leak detection and location in gas pipelines , 1988 .

[17]  B. Kannapiran,et al.  Fuzzy Based Approach for Fault Detection and Diagnosis in Pneumatic Actuator in Cement Industry , 2010 .

[18]  R. L. Eubank,et al.  A Kalman filter primer , 2005 .