Sensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts

This paper presents a new sensor placement methodology for effective fault diagnosis in an N-2-1 locating scheme used in compliant sheet metal assembly processes. The proposed approach is based on the effective independence (EfI) sensor placement method. The EfI method is a computational algorithm that starts with all feasible sensor locations and reaches the desired number of locations, by progressively eliminating those having the least contributions to the linearly independent manifestation of the fixture faults. The least squares method was adopted to identify fixture faults from measurement data. An automotive panel part was considered to illustrate the suggested methodology. The sensors placed by the EfI method enable the effective identification of multiple fixture faults even in the presence of moderate measurement noise.

[1]  Yang Liu,et al.  Assembly Fixture Fault Diagnosis Using Designated Component Analysis , 2005 .

[2]  Jingxia Yuan,et al.  Deformable Sheet Metal Fixturing: Principles, Algorithms, and Simulations , 1996 .

[3]  Darek Ceglarek,et al.  Dimensional variation reduction for automotive body assembly , 1995 .

[4]  Darek Ceglarek,et al.  Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition , 1996 .

[5]  Daniele Gallieni,et al.  Genetic-algorithm-based procedure for pretest analysis , 1995 .

[6]  Darek Ceglarek,et al.  Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies , 1998, Manufacturing Science and Engineering.

[7]  Q. Rong,et al.  Adjusted Least Squares Approach for Diagnosis of Ill-Conditioned Compliant Assemblies , 2001 .

[8]  Jun Ni,et al.  Stream of variation based analysis and synthesis of measurement schemes in multi-station machining systems , 2001 .

[9]  D. Kammer.  Sensor Placement for On-Orbit Modal Identification and Correlation of Large Space Structures , 1990, 1990 American Control Conference.

[10]  Robert H. Tolson,et al.  Maximizing the determinant of the information matrix with the effective independence method , 1992 .

[11]  Yu Ding,et al.  Optimal sensor distribution for variation diagnosis in multistation assembly processes , 2003, IEEE Trans. Robotics Autom..

[12]  T.-C. Chang,et al.  Automated setup selection in feature-based process planning , 1998 .

[13]  Jun Ni,et al.  Measurement Scheme Synthesis in Multi-Station Machining Systems , 2002 .

[14]  Minho Chang,et al.  Computational method for diagnosis of variation-related assembly problems , 1998 .

[15]  William A. Sethares,et al.  Sensor placement for on-orbit modal identification via a genetic algorithm , 1993 .

[16]  Daniel W. Apley,et al.  Diagnosis of Multiple Fixture Faults in Panel Assembly , 1996, Manufacturing Science and Engineering.

[17]  Michael Yu Wang,et al.  Locator and Sensor Placement for Automated Coordinate Checking Fixtures , 1998, Manufacturing Science and Engineering.

[18]  Darek Ceglarek,et al.  Sensor optimization for fault diagnosis in single fixture systems : A methodology , 1999 .

[19]  Audra E. Kosh,et al.  Linear Algebra and its Applications , 1992 .