Diagnosis of thruster fault condition using statistical design of experiment

Present study consists the diagnosis of thruster fault condition using statistical design of experiment. Fault in thruster can cause deviation in process parameter, i.e. current load which could interfere with the propulsion system and overall system operation. The faulty conditions are demonstrated by blocked ducting. Variations of current load due to several conditions e.g. normal and faulty are studied using analysis of variance (ANOVA) and factorial design. Two-Factor factorial design is used to analyze the means in each factor. The two factors are the armature voltage and thruster condition. Tukey’s method is used to test all pair wise means in a single factor i.e. thruster condition in order to confirm the significant variation for each condition. Result from the experiment shows that the null hypothesis H0 for both Two-Factor factorial design and Tukey’s test are rejected and the alternate hypothesis H1 is accepted. This indicates that the current loads for each pair are varying and all means in thruster condition factor are significantly different.

[1]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[2]  Nilanjan Sarkar,et al.  Fault-accommodating thruster force allocation of an AUV considering thruster redundancy and saturation , 2002, IEEE Trans. Robotics Autom..

[3]  Mingjun Zhang,et al.  Research of the Thruster Fault Diagnosis for Open-frame Underwater Vehicles , 2006, 2006 International Conference on Mechatronics and Automation.

[4]  G. N. Roberts,et al.  Thruster fault diagnosis and accommodation for open-frame underwater vehicles , 2004 .

[5]  Rolf Isermann,et al.  Fault-tolerant actuators and drives—Structures, fault detection principles and applications , 2009 .

[6]  Agus Budiyono,et al.  Advances in unmanned underwater vehicles technologies: Modeling, control and guidance perspectives , 2009 .

[7]  Yong-Duan Song,et al.  On Fault-tolerant Control of Dynamic Systems with Actuator Failures and External Disturbances , 2010 .

[8]  Ratna Dahiya,et al.  Motor current signature analysis and its applications in induction motor fault diagnosis , 2008 .

[9]  Zahurin Samad,et al.  Optimization of underwater composite enclosure design using response surface methodology , 2011 .

[10]  Rolf Isermann,et al.  Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..

[11]  Junku Yuh,et al.  Underwater robotics , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[12]  Thomas Steffen,et al.  Control Reconfiguration of Dynamical Systems: Linear Approaches and Structural Tests , 2005 .

[13]  Song K. Choi,et al.  Experimental validation of model-based thruster fault detection for underwater vehicles , 2009, 2009 IEEE International Conference on Robotics and Automation.

[14]  Wade C. Driscoll,et al.  Robustness of the ANOVA and Tukey-Kramer statistical tests , 1996 .

[15]  Rolf Isermann,et al.  Fault-tolerant actuators and drives - Structures, fault detection principles and applications , 2009, Annu. Rev. Control..

[16]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2004, IEEE Transactions on Automatic Control.

[17]  Maria Letizia Corradini,et al.  An Actuator Failure Tolerant Control Scheme for an Underwater Remotely Operated Vehicle , 2011, IEEE Transactions on Control Systems Technology.

[18]  Angelo Alessandri,et al.  Fault detection of actuator faults in unmanned underwater vehicles , 1999 .