Optimal placement of sensors for structural health monitoring using improved genetic algorithms

The global optimization of sensor locations for structural health monitoring systems is studied in this paper. First, the performance function based on damage detection is presented. Then, genetic algorithms (GAs) are adopted to search for the optimal locations of sensors. However, the simple GAs can result in infeasible solutions to the problem. Some improved strategies are presented in this paper, such as crossover based on identification code, mutation based on two gene bits, and improved convergence. The analytical results from the improved genetic algorithm are compared with the penalty function method and the forced mutation method. It is concluded that the convergence speed with the proposed improved genetic algorithm is faster than that with the penalty function method and the forced mutation method, and the result of placement optimization is better.

[1]  R. Fox,et al.  Rates of change of eigenvalues and eigenvectors. , 1968 .

[2]  F. Udwadia,et al.  Optimal Sensor Locations for Structural Identification , 1985 .

[3]  Daniel C. Kanner.  Sensor Placement for On-Orbit Modal Identification and Correlation of Large Space Structures , 1990 .

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

[5]  Charbel Farhat,et al.  An Energy Based Optimum Sensor Placement Criterion and its Application to Structural Damage Detection , 1994 .

[6]  Colin H. Hansen,et al.  Use of genetic algorithms to optimize vibration actuator placement for active control of harmonic interior noise in a cylinder with floor structure , 1996 .

[7]  E. R. Ponslet,et al.  DISCRETE OPTIMIZATION OF ISOLATOR LOCATIONS FOR VIBRATION ISOLATION SYSTEMS , 1996 .

[8]  Richard G. Cobb,et al.  Sensor Placement and Structural Damage Identification from Minimal Sensor Information , 1997 .

[9]  Robert E. Miller,et al.  Optimal sensor placement via Gaussian quadrature , 1998, Appl. Math. Comput..

[10]  Shahram Pezeshk,et al.  Optimized Design of Two-Dimensional Structures Using a Genetic Algorithm , 1998 .

[11]  S. S. Law,et al.  Optimum sensor placement for structural damage detection , 2000 .

[12]  G. Obinata,et al.  Optimal Sensor/actuator Placement for Active Vibration Control Using Explicit Solution of Algebraic Riccati Equation , 2000 .

[13]  Alain Vande Wouwer,et al.  An approach to the selection of optimal sensor locations in distributed parameter systems , 2000 .

[14]  Shahram Pezeshk,et al.  Design of Nonlinear Framed Structures Using Genetic Optimization , 2000 .

[15]  Keith Worden,et al.  Optimal sensor placement for fault detection , 2001 .

[16]  Makola M. Abdullah,et al.  Placement of sensors/actuators on civil structures using genetic algorithms , 2001 .

[17]  L H Yam,et al.  Optimal design of number and locations of actuators in active vibration control of a space truss , 2002 .

[18]  Peter Brett,et al.  An approach to optimise the critical sensor locations in one-dimensional novel distributive tactile surface to maximise performance , 2003 .